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GAP INTERNATIONAL – A unique, purpose-driven, consulting company ABOUT GAP INTERNATIONAL Gap International is a global consulting firm that partners with executives to achieve breakthrough business results. We're a team of passionate problem-solvers committed to innovation and transformation. As part of our growth strategy, we're expanding our AI capabilities to deliver cutting-edge solutions across the enterprise. This role offers the opportunity to work on impactful projects, including dialog-driven learning and business process acceleration. ABOUT THE ROLE You will be part of a tight knit, highly collaborative research and development team focused on building real-world AI applications. As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on large language models and natural language understanding. Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to explore data, shape requirements, and integrate AI capabilities into internal tools and digital products. Your contributions will drive innovation and shape transformative projects across the organization. RESPONSIBILITIES Design and implement AI systems using Large Language Models (LLMs) to solve enterprise challenges and improve operational efficiency. Fine-tune foundation models and apply techniques such as retrieval-augmented generation (RAG) and prompt engineering. Collaborate with cross-functional teams to integrate AI capabilities into internal tools, workflows, and digital products. Evaluate and experiment with frameworks and tools like Hugging Face, LangChain, OpenAI, Claude, and LLaMA. Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging container orchestration tools where applicable. Lead architectural decisions and guide implementation of reusable frameworks for model evaluation, optimization, and deployment. Design, develop, and optimize autonomous AI agents. Apply emerging research to practical use cases, staying current with advancements in NLP and generative AI. Mentor team members and contribute to a collaborative, high-performance development environment. REQUIREMENTS Minimum Master's degree in Computer Science, Engineering, or a related technical field (PhD preferred); candidates with a Master's must have at least 2 years of relevant work experience. Strong experience developing and deploying LLM-based applications, including fine-tuning and prompt engineering. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with version control tools like GitHub. Familiarity with cloud-based AI services and APIs (e.g., OpenAI, AWS, Azure, GCP) and experience deploying models in scalable environments. Solid understanding of NLP concepts, transformer architectures, and evaluation metrics for LLM systems. Experience designing and implementing end-to-end training pipelines, including data shaping, model tuning, and performance optimization. Ability to communicate complex technical concepts clearly across teams and to non-technical stakeholders. Contributions to the AI/ML community through publications, open-source projects, or thought leadership environment. GAP INTERNATIONAL ASSOCIATES Purposeful people at work impacting companies around the world. People who thrive in a learning environment and enjoy learning, growing, and performing at their best; energized to continually push beyond their comfort zone. Comfortable with ambiguity; eager to take on things they don't know how to do. Curious and flexible when it comes to their own growth and development, as well as receptive to coaching and feedback to maximize their potential. Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both internally and externally. WHAT WE OFFER A role with significant impact and visibility within the company. Opportunities for professional growth and development in a supportive and collaborative environment. Competitive salary commensurate with experience. A dynamic and inclusive company culture. TO APPLY Please submit your resume which includes a list of publications, a cover letter explaining your interest and how your skills and experience meet the qualifications of the position, and any relevant portfolio or GitHub links showcasing your previous work or projects. Gap International associates are based out of our corporate office in the Philadelphia metropolitan area. In order to be considered for this role, applicants should be legally authorized to work in the US.

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact As a Senior DSP Engineer , you will play a critical role in advancing state-of-the-art technology for drone detection and localization through RF spectrum analysis. By designing and implementing sophisticated signal processing algorithms, you will directly contribute to enhancing security and safety in a rapidly evolving field. This position offers you the opportunity to work on innovative, real-world challenges that will sharpen your expertise in DSP, wireless communication, and software development. You'll collaborate with a multidisciplinary team, expand your technical horizons, and gain invaluable experience in cutting-edge systems with a tangible societal impact. This is a career-defining opportunity to innovate and grow in a high-demand, high-tech industry. What You'll Do Work Location: This role is based out of our Kassel office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success. Reports to: Lead DSP Engineer Key Responsibilities: RF Spectrum Analysis: Perform advanced analysis and feature extraction from RF signals using Software Defined Radio (SDR) frameworks and other state-of-the-art tools. Write prototype code in Python or Matlab to proof concepts. Design and Implementation: Develop and optimize real-time signal-processing algorithms in C++ and CUDA to detect, classify, and locate drones within RF spectrum data. Ensure scalability and performance of the software in real-world applications. Cross-Functional Collaboration: Work with hardware, software, and data fusion teams to integrate DSP components seamlessly into larger systems, contributing to end-to-end solutions. Mentorship and Leadership: Act as a technical resource and mentor for junior team members, fostering a collaborative and innovative team environment. Continuous Improvement: Stay updated on advancements in DSP, SDR, and wireless communication to identify new tools, techniques, and approaches that enhance system capabilities. Documentation and Communication: Create detailed technical documentation for developed algorithms and processes. Present findings, updates, and project milestones to stakeholders appropriately. Tool Development and Maintenance: Develop utilities in Python and C++ for testing, data analysis, and algorithm validation, ensuring maintainability and robustness. What You Bring Master's, or Ph.D. in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field, with 3+ years of relevant experience. Robust expertise in digital signal processing, including modulation methods, frequency analysis, and digital filters. Proficiency in C++ and Python, with experience in developing real-time systems and prototyping signal processing algorithms. Solid knowledge of wireless communication systems such as LTE PHY, IEEE802.11 (Wi-Fi), and IEEE802.15.4. Exemplary problem-solving skills, a collaborative mindset, and the ability to communicate complex technical concepts successfully. Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at Axon Privacy Web Form . For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers . If you receive a suspicious offer or outreach from an email address that is not ----- or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to Find Jobs in Germany on Arbeitnow

Quandela is a global leader in quantum computing, designing, building, and delivering cutting-edge quantum solutions for research and industry. Its offerings include the most energy-efficient quantum computers for data centers, full-stack quantum computing solutions accessible via the cloud, and algorithm access services for academic and industrial customers. Following a pragmatic, step-by-step roadmap, Quandela has been deploying industrial-grade systems since 2023 while developing future generations of fault-tolerant quantum computers capable of scaling through the integration of thousands of photonic components. Quandela is committed to making quantum computing accessible to all in order to address the most complex industrial and societal challenges. Learn more at: Quandela | Leading Photonic Quantum Computing Solutions About this position: Role Overview We are looking for a Single Photon Source Lithography Engineer to support the development, stabilization and industrialization of our semiconductor fabrication processes. At our current stage of maturity, this position combines advanced process development, hands-on R&D and manufacturing engineering. The Lithography Engineer will play a key role in bridging the gap between Advanced R&D and Production, transforming newly developed process building blocks into robust, repeatable and scalable manufacturing processes. The role will have a strong focus on in-situ localization of quantum dots (QDs) at cryogenic temperatures and laser lithography over the localized Qds with laser writing techniques. The successful candidate will work closely with R&D teams, fabrication engineers, equipment owners and cleanroom operators to improve process capability, reproducibility, yield and production throughput. This is a highly hands-on position requiring a strong understanding of semiconductor fabrication, rigorous experimental methodology and the ability to investigate complex interactions between process parameters and device performance. Key Responsibilities Process Development & Industrialization Develop, optimize and stabilize QD positioning and laser lithography process. Contribute to the development of GUIs and automation codes in the Python programming language. Contrinute to the development of fully-automated QD-positioning and litography tools. Validate and qualify new fabrication equipment and associated processes. Define process windows, recipes, operating conditions and acceptance criteria. Use structured experimentation, including Design of Experiments (DoE) where appropriate, to understand process sensitivities and optimize performance. Improve process repeatability, reproducibility, robustness and within-wafer / wafer-to-wafer homogeneity. Prepare processes and equipment for increasing wafer sizes, batch sizes and production volumes. R&D to Production Transfer Act as a key technical interface between Advanced R&D and Production. Convert R&D process building blocks into stable, documented and manufacturable processes. Assess manufacturability, scalability and process risks before transfer to production. Define qualification plans and acceptance criteria before releasing new or modified processes to production. Lead or contribute to Process Failure Mode and Effects Analysis (PFMEA) for critical fabrication steps, identifying potential failure modes, their effects on device performance and appropriate prevention and control measures. Translate PFMEA outcomes into process controls, monitoring plans, acceptance criteria, Control Plans and documentation. Support technology transfer through clear documentation, operator training and technical communication. Process Control & Yield Improvement Monitor and improve production process performance, yield and throughput. Establish regular process checks, controls and monitoring methodologies, including Statistical Process Control (SPC) where relevant. Detect process drifts, investigate deviations and define corrective and preventive actions. Lead root-cause analysis and troubleshooting activities for yield losses, process excursions and equipment-related issues. Define and maintain relevant process KPIs and contribute to continuous-improvement initiatives. Promote best practices that increase process stability, repeatability and equipment utilization. Equipment & Production Support Provide hands-on technical support to cleanroom operators and production teams. Work closely with equipment suppliers and internal teams to resolve technical issues. Contribute to a safe, disciplined and efficient cleanroom environment. Process Characterization & Data Analysis Correlate process data with structural, optical and electrical characterization results. Use experimental data to identify process sensitivities, failure mechanisms and optimization opportunities. Develop appropriate data-analysis tools to support process monitoring and engineering decisions. Search and analyze scientific and technical literature to support process development and troubleshooting. Documentation & Communication Create and maintain high-quality process documentation, including process specifications, Standard Operating Procedures (SOPs), equipment recipes, qualification reports, Control Plans, process-development reports and troubleshooting guides. Ensure frequent and clear reporting of process status, experimental results, risks and improvement actions. Communicate effectively with colleagues from different technical backgrounds and levels of experience. Train and support operators and other team members on new or updated processes. Requirements Required Qualifications & Experience Master's degree or PhD in Optics, Materials Science, Physics, Micro/Nanotechnology, Electrical Engineering, or a related field. Hands-on experience with semiconductor or photonic-device fabrication in a cleanroom environment. Hands-on experience in conception, assembling, and alignment of optical systems. Hands-on experience in conception, assembling, and operation of electronic devices Python programming language fluency. Excellent attention to detail and a rigorous approach to experimental work. Strong troubleshooting, root-cause analysis and problem-solving skills. Ability to independently investigate technical problems using experimental data and scientific literature. Strong communication and documentation skills. Fluent English, both written and spoken. Preferred Qualifications Experience in developments of GUIs with the python programming language. Experience in a semiconductor manufacturing, pilot-line or production environment. Experience with process industrialization and transfer from R&D to production. Experience with PFMEA, Control Plans, SPC, DoE or other structured process-risk and continuous-improvement methodologies. Experience with III-V semiconductor devices, particularly AlGaAs-based photonic structures, resonators or VCSEL-type technologies. Profile We are looking for someone who combines the mindset of an R&D engineer with the rigor of a manufacturing/process engineer. The ideal candidate is comfortable developing new systems where all parameters are not yet fully understood, while also being able to transform experimental processes into stable, controlled and documented production workflows. You should enjoy working directly in the cleanroom, analyzing data, developing Python projects, solving complex fabrication problems and collaborating across R&D and production teams. Benefits Competitive salary, flexible based on your experience Profit-sharing & company savings plan 100% health coverage (Alan) 50% transport reimbursement or sustainable mobility bonus Meal vouchers (Swile), Gymlib fitness support Childcare assistance & referral bonuses (€1,000–€2,000) What we offer: A meaningful role with real ownership, from day one A team eager to collaborate and grow with you Daily exposure to the entire quantum stack — from high-level APIs to low-level firmware, and everything in between. Process Talent Acquisition Interview (30' - 45') Hiring Manager Interview (45') Use Case / Practical Assessment : The use case will consist of a simple practical exercise focused on the alignment of an optical bench. The assessment will take place in the cleanroom, they are not considered PPE for this exercise. Meeting with the teams 2 reference check Offer (This process is provided for guidance only and may evolve depending on the roles) At Quandela, we believe that the strength of our team is the plurality of experiences, perspectives, and journeys. We are committed to building a respectful, inclusive, and welcoming work environment. All applications are welcome. Find more English Speaking Jobs in France on Arbeitnow

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: As an Applied Value Engineer, you are pushing the envelope, solving business-critical problems for our customers. Working with our most strategic global accounts, you will diagnose their strategy and key operational challenges to discover and build tailored, domain-specific use cases . You will architect and prototype state-of-the-art AI and technical solutions on the Celonis platform, demonstrate their business impact to C-suite Executives, and ensure successful implementation, adoption, and value realization. The work you'll do: Discovery & AI Solutioning: Translate domain expertise, product knowledge, and specific customer requirements into flawless project execution. You will execute technical discovery, allowing you to prototype and build bespoke, state-of-the-art AI solutions that precisely target nuanced, industry-specific operational pain points. AI Solution Development: Drive the end-to-end execution of business-critical Proof-of-Value (PoV) projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks. Value Selling & Realization: Maintain active technical and advisory involvement with strategic accounts, ensuring the project remains on track until agreed-upon value, adoption thresholds, and operational transformations are achieved. Domain & Industry Specialization: Leverage domain expertise to build industry-specific E2E solutions. Contribute to codifying this work into reusable methodology and assets to accelerate team-wide time-to-value. The qualifications you need: Executive-Facing Presales & Value Engineering (2+ years): Demonstrated experience supporting the technical close and driving compelling AI transformation narratives. Requires a proven background in accountable PoV execution, ROI/TCO modeling, and showcasing the "Art of the Possible" by pitching visionary solutions to hidden problems. Domain & Industry Expertise: Solid knowledge of core business processes and industry landscapes (e.g., supply chain, finance). Ability to speak the language of business leaders and connect operational bottlenecks to strategic AI solutions. Software/Data Engineering: Python proficiency, API design, SQL, data integration, and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers). Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI). AI Architecture & Security: Understanding of cloud reference architectures, identity and access, data governance, privacy, and compliance. Math & Operations Research: Applied knowledge of linear/nonlinear optimization, statistical analysis, reinforcement learning, and forecasting is a plus. Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos. Flawless English with exceptional executive presence. Degree: Masters Degree in computer science, engineering, mathematics, business engineering, business information or related fields , or equivalent work experience preferred. #LI-NS1 What Celonis can offer you: Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations. Ownership from Day 1: Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants. Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. Work-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. Continuous Growth: Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform. Holistic Well-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance. Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. Global Inclusion & Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. Value-Driven Impact: Join a mission-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI's operational blind spots into operational clarity. Industry-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Get familiar with the Celonis Process Intelligence Platform by watching this video . Celonis Inclusion Statement: At Celonis, we believe our people make us who we are and that "The Best Team Wins". We know that the best teams are made up of people who bring different perspectives to the table. And when everyone feels included, able to speak up and knows their voice is heard - that's when creativity and innovation happen. Your Privacy: Any information you submit to Celonis as part of your application will be processed in accordance with Celonis' Accessibility and Candidate Notices By submitting this application, you confirm that you agree to the storing and processing of your personal data by Celonis as described in our Privacy Notice for the Application and Hiring Process . Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Please be aware of common job offer scams, impersonators and frauds. Learn more here .

The Estée Lauder Companies Inc. is one of the world's leading manufacturers, marketers, and sellers of quality skin care, makeup, fragrance, and hair care products, and is a steward of luxury and prestige brands globally. The company's products are sold in approximately 150 countries and territories under brand names including: Estée Lauder, Aramis, Clinique, Lab Series, Origins, M·A·C, La Mer, Bobbi Brown Cosmetics, Aveda, Jo Malone London, Bumble and bumble, Darphin Paris, TOM FORD, Smashbox, AERIN Beauty, Le Labo, Editions de Parfums Frédéric Malle, GLAMGLOW, KILIAN PARIS, Too Faced, Dr.Jart+, the DECIEM family of brands, including The Ordinary and NIOD, and BALMAIN Beauty. Description As a Staff Machine Learning Engineer, you're a player-coach: a strong hands-on contributor who also sets standards, reviews others' work, authors the designs others build against, and mentors the team. You design, build, test, and deploy production AI products and the platform beneath them, and you shape how we build and integrate AI systems — working with engineers, scientists, product managers, and domain experts to turn ambiguous problems into reliable, scalable deliverables. The core of this role is engineering: agentic AI products and their platform, including stateful, transactional services where reliability and data-modeling rigor matter. Classical ML, statistics, and experimentation are valued and let us take on predictive and inference work when the roadmap calls for it — but you may spend long stretches purely on AI-product and platform engineering, so we're looking for someone energized by that work. Responsibilities Design, build, test, and deploy production agentic / LLM-powered products end-to-end on Google Cloud, along with the shared platform, tooling, and harnesses beneath them. Bring strong software-engineering rigor to our services — including stateful and transactional (OLTP) systems — across data modeling, concurrency, idempotency, reliability, observability, and testing. Apply classical ML, statistics, and experimentation where the problem calls for it (predictive modeling, statistical inference, hypothesis testing, causal / incrementality measurement). Build scalable tools that drive automation across domains such as recommendation and personalization, conversational and customer experiences, and measurement and incrementality. Author design documents, uphold standards for clean code and documentation, and review others' designs and deliverables. Mentor and grow engineers and scientists, and support our early-career and student mentorship efforts. Partner with engineering, product, and domain-expert teams on major cross-functional automation, measurement, and modeling efforts. At least 80% technical contributor, up to 20% leadership / management. Actively participate in ELC's diversity and inclusion agenda. Qualifications BS/BA in a quantitative or technical field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering, Operations Research, Economics), or equivalent practical experience; a graduate degree is a plus. 5+ years of experience (3+ with a graduate degree) across Software Engineering, Machine Learning, and/or Data Science. Strong general software engineering in Python — clean API and service design, data-structure and algorithm proficiency, and real testing discipline — with experience building and operating production-grade services, including stateful / transactional systems and databases (SQL and/or NoSQL). Experience building and deploying LLM-powered or agentic systems in production (e.g., retrieval-augmented generation, agents and tool use, structured outputs, evaluation, safety) — or a strong production-ML background paired with a clear appetite to work in this space. Experience deploying and operating systems on a major cloud platform (Google Cloud a plus) with sound data-processing practices at scale. Uses agentic / AI-assisted development tools, or is eager to adopt them in earnest, with judgment about where they help and how to keep quality high. A track record of mentorship, a continuous-learning mindset, a bias for simplicity, and a collaborative, shared-ownership working style. Preferred / a Strong Plus Genuine classical ML / data science / statistics depth — statistical modeling, hypothesis testing and experimentation, causal inference and incrementality, and predictive modeling. We value this as a way to de-risk future modeling work; it is hard to acquire on the job, so we welcome it even when the immediate work is engineering-focused. Hands-on experience in NLP, agent frameworks, or advanced statistical methods. Familiarity with our stack: Google Cloud (Vertex AI, Cloud Run, BigQuery, Firestore, Pub/Sub), async Python (FastAPI), container-based CI/CD, and the Model Context Protocol (MCP). Experience designing a technical roadmap and leading execution in a business environment. Pay Range The anticipated base salary range for this position is $119,300.00 to $196,600.00 . Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program as well as participation in the share incentive plan. In addition, In addition to base salary, this position is eligible for participation in a highly competitive bonus program with the possibility for overachievement based on performance and company results. In addition, The Estée Lauder Companies offers a variety of benefits to eligible employees, including health insurance coverage (medical, dental, and vision insurance), wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company. Equal Opportunity Employer It is Company's policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. The Company will endeavor to provide a reasonable accommodation consistent with the law to otherwise qualified employees and prospective employees with a disability and to employees and prospective employees with needs related to their religious observance or practices. Should you wish to apply for this position or any other position with the Company and you believe you require assistance to complete an application or participate in an interview, please contact USApplicantAccommodations@Estee.com. Michigan Applicants: Persons with disabilities needing accommodations for employment must notify the company in writing of the need for an accommodation within 182 days after the date the person with a disability knew or reasonably should have known that an accommodation was needed. Philadelphia Applicants: Philadelphia's Fair Chance Hiring Law Rhode Island Applicants: The company is subject to chapters 29-38 of title 28 of the general laws of Rhode Island and is therefore covered by the state's workers' compensation law.

Overview Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good! HYBRID: Qualified candidates must live or relocate within a 180-mile radius of a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment. HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity Responsibilities Grow Your Skills, Grow Your Potential State Farm's contact centers serve as the main connection to customers, agents, and associates, handling 10's of millions of contacts annually. Our team is building the next generation of AI and GenAI systems that put insights, intelligent applications, and automated workflows into the hands of enterprise leaders. We work at the frontier of large language models, agentic architectures, and cloud-native AI — delivering solutions that are reliable, explainable, and that enhance human decision making. Join us if you want to see your code drive decisions at scale and help customers in their time of greatest need. In This Role, You Will: Design & Deploy AI/GenAI Solutions — Architect and implement LLM-powered applications, agentic workflows, & RAG pipelines using AWS Bedrock and AgentCore Build AI-Integrated APIs — Develop and maintain robust APIs (REST, FastAPI, etc.) serving as the backbone for AI applications, orchestration, and downstream consumers Engineer Data & Analytics Pipelines — Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources Build on Amazon Bedrock AgentCore primitives — Runtime, Gateway (MCP), Memory, and Code Interpreter — to deliver streaming, stateful, tool-using agents in production. Champion Responsible AI — Apply prompt engineering best practices, implement guardrails, evaluate model outputs (Promptfoo, RAGAS), and ensure compliance with enterprise AI governance standards Drive Full Stack AI Applications — Build and maintain cloud-native web applications that surface AI capabilities to end users, including chat interfaces, dashboards, and automation tools Implement DevSecOps for AI — Integrate AI workloads into CI/CD pipelines, apply secure coding standards, and implement observability for model behavior and inference performance Enhance User Experience — Design intuitive AI-powered interfaces that are accessible, explainable, and trusted by end users Document & Share Knowledge — Author technical documentation, evaluation frameworks, and contribute to internal AI communities of practice Mentor & Lead — Provide technical guidance, code reviews, and foster a culture of responsible AI innovation Qualifications Preferred Skills Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems Strong foundation in software engineering: design, development, testing, and deployment of enterprise-grade applications Experience with cloud architecture (AWS preferred), Git version control, and performance optimization Experience with multi-agent orchestration patterns and tool-use frameworks (function calling, MCP) Proficiency in Python and/or TypeScript for API and AI integration development Familiarity with prompt engineering, model evaluation, and AI safety/guardrails Experience writing clear technical documentation, test cases, and evaluation frameworks Proficiency with AI-assisted development tools (GitHub Copilot) to accelerate delivery Strong communication skills with the ability to explain AI concepts to non-technical stakeholders Demonstrate initiative in learning emerging AI technologies and contributing to team knowledge Ideal Candidates Also Have Background in insurance, financial services, or regulated industries Familiarity with cloud Contact Center applications Experience productionizing LLMs or GenAI features in regulated industries (insurance, financial services, healthcare) Familiarity with AI governance, responsible AI frameworks, and enterprise Our Benefits Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week! Potential starting salary range: $81,000 - $142,000 (Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience.) Potential yearly incentive pay up to 15% of base salary At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family! Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus. Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more! Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring. Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union! Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you! Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund. Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary. Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

SAEKI - Manufacturing at software speed Europe's defense industrial base cannot respond at the speed modern conflict requires. Legacy suppliers operate on month-long timelines. Tribal knowledge is retiring. Supply chains are fragile. SAEKI is building the operating system for autonomous factories - the infrastructure that lets Europe manufacture mission-critical components at software speed. The Role As a Junior Computational Geometry Engineer, you work on the geometry core of our Manufacturing Intelligence stack: the engine that takes an arbitrary customer CAD model, reasons about how to build it, and then proves that we built it right. You start on well-scoped parts of that engine, next to the engineers who built it, and grow into owning them. Your code runs in the factory. What We're Looking For Foundations . Degree in computer science, mathematics, mechanical engineering or a related field, with real depth in geometry, linear algebra and numerics. Internships, thesis work or serious side projects count. We do not expect years of production experience. B-rep Basics . You are comfortable with topology, NURBS, meshes and point clouds. You may never have shipped a robust boolean, and you still understand why floating-point robustness destroys naive implementations, and you want to learn how the field handles it. Kernel Exposure . You have worked with a geometry kernel and mesh libraries in at least one project: OpenCASCADE, CGAL, libigl, Open3D, PCL, Parasolid or comparable. Technical Ability . Solid modern C++ (17+) plus Python for tooling and rapid iteration. Rust is welcome. You write code others can read, test and maintain. Manufacturing Curiosity . You want to understand what happens once geometry meets a spindle, a nozzle or a fixture. CNC, additive or metrology exposure is a bonus, never a requirement. First Principles Thinker . You reason by physics and mathematics, not analogy. When an algorithm fails on a real part, you dig until you know whether the bug sits in the code, the model or the assumption. Learning Speed . You take direct feedback, apply it immediately, and close your own knowledge gaps without waiting to be taught. Industrial Grit . You want to stand next to the machine in Germany and watch your output run. The feedback loop between your code and cutting metal is the point. On - site . Ability to work in person at our HQ in Zurich, Switzerland. What we're not looking for Researchers who want to publish and hand off. You ship. CAD users. This is a role for people who build the tools, not drive them. Engineers who need a clean spec. The problem is defined by the part, the machine, and the customer - you'll help define it. People who treat "it works on the test model" as done. Real customer CAD is broken, degenerate, and adversarial. That is the job. Engineers who are uncomfortable with ambiguity or rapidly changing priorities. What we offer Mission : Rebuild the industrial sovereignty of the West. Your work directly enables production of mission-critical hardware for defense and space. Total Ownership : High-stakes autonomy in your domain. You own both the problems and the solutions - and have the authority to execute. The Environment : Access to a 8,000 m² state-of-the-art facility featuring 5-axis CNCs, industrial robots, and industrial 3D printers. Your algorithms run on real hardware from day one. The Team : "Special Forces" model. Everyone senior, everyone ships. No politics, no bureaucracy. Direct feedback, high standards. Compensation : Competitive salary + meaningful equity. Location : Zurich HQ, with occasional time at Factory ONE in Munich. Apply Resume : Focus on the geometry work you have actually done. Thesis, internships, projects, coursework. GitHub / Portfolio : Show us the hardest problem you have solved. Code, a write-up, or a part that came off a machine because of you. Cover letter : Why this mission? Why now? What would you build first? Find more English Speaking Jobs in Switzerland on Arbeitnow

Your mission We're looking for a hands-on Structural & Thermal Engineer to take full ownership of structural analysis and thermal subsystem design for our instruments. You'll turn CAD into analysis models, tell us whether the design survives launch and orbit, and shape the hardware when it doesn't. From the first FEM mesh to the last thermal-vacuum cycle, this is your domain. What you'll do Structural Define requirements and load levels for payload units Build structural FEM models of satellite systems and subsystems directly from CAD Run static, modal, random vibration, sine and shock analyses at the relevant qualification and acceptance levels Feed results back to the mechanical engineers and drive design changes where margins aren't there Own, plan and run environmental test campaigns (vibration, shock, thermal cycling, thermal vacuum): test plans, fixtures, facility coordination, execution and test-to-model correlation Thermal Build and run satellite thermal models based on CAD, thermal interfaces and power consumption profiles Evaluate power and heat balance across hot and cold cases and mission phases Feed results back to mechanical and electrical engineers and drive design changes where margins aren't there Define the thermal control strategy, including MLI design, manufacturing and integration Decide where temperature sensors and heaters go, and size the heater circuits Document analyses and test results to support design reviews and launch provider requirements Your profile Bachelor's or Master's in aerospace or mechanical engineering, or a related field 4+ years of experience in structural and/or thermal analysis for space hardware Hands-on FEM experience (e.g. NX, Ansys, Femap/Nastran, Abaqus) including modal, random vibration and shock analysis Thermal modelling experience with tools such as ESATAN-TMS, Thermal Desktop or Systema Experience planning and running environmental qualification or acceptance tests Working knowledge of ECSS standards and launcher environment requirements Comfortable working from CAD (e.g. SolidWorks, Siemens NX) and owning decisions end-to-end Fluent English Nice to have Flight heritage: you've seen your hardware through launch Experience with small satellites or airborne payloads Test-to-model correlation of both structural and thermal models Scripting (Python) to automate analysis and post-processing Optical or detector thermal stability requirements (e.g. LiDAR, hyperspectral instruments) Why us? Real ownership: the structural and thermal design of our satellites is yours Hardware that flies, on a mission that matters for the climate A small, hands-on team where your analysis directly changes the design Benefits such as Gym and Deutschlandticket subsidy. Office in the heart of Berlin Find Jobs in Germany on Arbeitnow

In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His solution was simple: link documents so that all people can find them and use them. That proposal became the World Wide Web. Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools. We are hiring a Senior Analytics Engineer to help us accelerate. You'll join a team of high-performing Data and Analytics Engineers building the shared foundations that power decisioning, automation, and measurement across the company, collaborating closely with Data Scientists and partners in Product, Engineering, and Operations. Your curiosity and bias toward action will drive meaningful impact as you build durable data products, unlock faster experimentation, and help teams ship propensity models, agentic workflows, and amazing data-driven experiences for our customers. Come grow with us. Responsibilities: Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support Help us implement the data and analytics products we'll need to effect our bank charter Contribute to the evolution of our data quality, governance, and security strategies Contribute to our definition of Analytics Engineering standards and best practices You may be a good fit if you: Have 4+ years of Analytics or Data Engineering experience Have expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents Are proficient with SQL and have working experience with Python Proficient using AI agents to accelerate your and your teammates' work Have experience with dimensional data modeling principles and building data for scale Treat data products as a platform by prioritizing reusable, scalable deliverables Deliver readable code, strong tests, and quality documentation Experiment responsibly and share what you learn so everyone benefits Practice relentless empathy by meeting your stakeholders in Data, Product, Engineering, and beyond where they're at and helping them succeed Discern what's needed from what's wanted to deliver maximum impact Strong candidates may additionally have: Banking or financial services industry experience Experience with agentic development and/or analytics workflows Exposure to data governance, compliance, and security best practice A full-stack mindset and willingness to solve problems end-to-end by flexing into Data Engineering and Data Analysis If this role interests you, we invite you to explore our public demo at demo.mercury.com. Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC. Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following : US employees (any location): $166,600—$208,300 USD Canadian employees (any location): $157,400—$196,800 CAD

Education: College/CEGEP. Tasks: Develop and maintain computer databases. Document reporting needs, queries, logic, results and recommendations to other information systems professionals. Test data models and database management systems. Design and develop database. Operate database management systems to analyze data. Research and document data requirements, data collection and administration policy, and data access rules. Write scripts related to stored procedures and triggers. Collect and document user's requirements. Computer and technology knowledge: Matrix Laboratory (MATLAB). Mapping and data visualization software. Database software. Programming languages. Data analysis software. MS Office. Spreadsheet. Python. SQL. Business intelligence. Electronic mail. MS Excel. Security and safety: Criminal record check. Personal suitability: Accurate. Team player. Adaptability. Quick learner. Screening questions: Do you have experience working in this field?. Experience: 2 years to less than 3 years. Employment terms options: Day. Overtime available.

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged by three types of work – Innovation, Business Intelligence and Data Management: Innovation Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives Business Intelligence Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization Drive analysis that provides meaningful insights on business strategies Data Management Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance Build and execute tools to monitor and report on data quality Our ideal candidate will have: Degree specialized in a Science, Technology, Engineering, Mathematics discipline Scripting experience in (Python, R, Spark, and SQL) Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data) Experience utilizing and developing within Snowflake services Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date. At least 1 year of experience working with at least one scripting language At least 1 year of experience utilizing business intelligence visualization tool At least 1 year of experience querying, analyzing and working with data languages and platforms Preferred Qualifications: Master's Degree in a Science, Technology, Engineering, Mathematics discipline At least 2 years of experience coding in Python, R, Spark, or SQL At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc. At least 1 year of experience utilizing and developing within AWS services At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e. Informatica DQ) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $111,200 - $126,900 for Sr. Data Analyst Richmond, VA: $101,100 - $115,400 for Sr. Data Analyst Chicago, IL: $101,100 - $115,400 for Sr. Data Analyst Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

ACTIVE DOW Security Clearance Required*** About us: Navaide: Catalysts for a Stronger Tomorrow At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities. Position: Data Analyst - Advana/Jupiter/Databricks How You Will Make An Impact We are seeking a talented and motivated Data Analytics Analyst to provide critical support to the DOW contract. The successful candidate will play a pivotal role in data analysis and visualization using tools, while also acquiring expertise in Advana and Jupiter platforms. Databricks experience is required. Duties & Responsibilities Conduct data analysis to derive actionable insights and recommendations to support the DOW's contract's objectives. Utilize Tableau to create data visualizations, dashboards, and reports to facilitate decision-making processes. Rapidly learn and become proficient in the Advana and Jupiter platforms, collaborating with team members who possess experience in these systems. Work with different data sources, ensuring data is accurately collected, transformed, and loaded for analysis. Clean and preprocess data to eliminate inconsistencies, errors, and outliers. Employ statistical techniques to interpret and validate data trends, patterns, and anomalies. Collaborate with cross-functional teams to understand project requirements and deliver insights that support the contract's objectives. Prepare and deliver reports and presentations that effectively communicate analytical findings to non-technical stakeholders. Adhere to data security and privacy protocols, ensuring the confidentiality and integrity of sensitive information. Relevant Skills And Experience Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience with data analysis and visualization tools. Willingness to learn and adapt to new technologies, including Advana and Jupiter platforms. Strong analytical skills, attention to detail, and the ability to draw meaningful conclusions from data. Databricks proficiency. Proficiency in data cleaning, transformation, and statistical analysis. Excellent communication and presentation skills to convey complex data insights to non-technical stakeholders. Ability to work collaboratively in a team-oriented environment. Strong problem-solving skills and a proactive approach to identifying and addressing data-related challenges. Education Bachelor's Degree from accredited college or university in Accounting, Finance, Computer Science, Engineering, Mathematics, or Information Systems. Must be eligible to receive a US DOW clearance. Travel Candidates must be willing to travel approx. <25% within the continental United States of America. What We Offer Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace. We Offer Competitive compensation and comprehensive benefits, including medical, dental, and vision coverage Flexible time off Professional development opportunities Company perks such as flex spending, wellness initiatives, etc. 401(K) matching About Our Culture Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer. Ready to Make a Difference? For more about us, please check out the following links: About Navaide ( Other Opportunities ( Employee Benefits ( Connect with us on LinkedIn! ( Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Participation E-Verify Participation Poster ( IER Right to Work Poster ( No third parties, please.