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General Summary The temporary Clinical Data Manager acts as a lead data manager for one or more projects, applies data management experience to clinical trials, and utilizes functional knowledge of the logistics of clinical trials to ensure the quality and integrity of clinical trial data. The CDM works on multi-functional teams and supports clinical trial projects as a departmental subject matter expert (SME). We are seeking a temporary clinical data manager who can dedicate 20 hours a week to support ongoing study activities. The initial assignment is for 6 months, but may be extended to meet the needs of our Team. Applicants must be eligible to live and work in the US. Specific Duties and Responsibilities •Independently lead and/or perform all data management activities within an assigned study (e.g., study startup, study conduct, study closeout, and reporting). •Serve as the data management SME on multidisciplinary project teams providing specific expertise on timeline development, identification of data management deliverables and resource requirements. •Participate in the creation, review, and maintenance of project timelines and monitor progress of data management activities. •Provide oversight for Data Management CRO and other vendors to ensure compliance with the protocol, external/internal standards, Good Clinical Practices (GCPs), applicable regulatory guidelines, SOPs, and other relevant guidelines. •Ensure Data Management documentation is filed/archived according to applicable Penumbra and regulatory requirements. •Interact with data management, biostatistics, Clinical Affairs and Medical Affairs team to ensure integrity and quality of data. •Contribute ideas to the development of the department, identifying areas for improvement (e.g., SOPs, processes) •Participates in audits and inspections. •Attend Investigator Meetings when requested to provide training on CRF data completion. •Responsible for creation of training materials and training of the CRAs to ensure consistency of data entry at the sites. •Provide DM departmental training and to other teams, as needed. •Utilizes reports to track study progress and ensure timeliness and quality expectations are met. •Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. •Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. •Ensure other members of the department follow the QMS, regulations, standards, and procedures. •Perform other work-related duties as assigned. *Indicates an essential function of the role Required Qualifications Minimum education and experience •Bachelor's degree with 5+ years in a medical device, pharmaceutical company, or similar environment (e.g., CRO); or an equivalent combination of education and experience Preferred qualifications •Master's degree with 3+ years of clinical research, pharmaceutical company preferred •Thorough knowledge of effective clinical data management practices; CCDM certified professional a plus •Must have strong experience with systems used for electronic capture of clinical trial data (e.g., iMedidata Rave, InForm, eClinicalOS, RedCap) •This position must have experience working on regulatory trials within the medical device and/or pharmaceutical industry •Position requires technical, organizational, analytical, and strong communication skills •Knowledge of regulatory guidelines pertaining to data quality and data management •Proven experience and in-depth understanding of all aspects of Data Management •Ability to effectively manage change and multiple priorities •Ability to operate independently and achieve results; ability to effectively deal with employees and business contacts and conveys a positive service-oriented attitude •Knowledge of continuous improvement, project management, change management, and risk management •Medical device, pharmaceutical, biotech, or other regulated industry experience required •Proficiency with MS Word, Excel, and PowerPoint Working Conditions •General office environment •Willingness and ability to work on site. •May have business travel from 0% - 5% to conferences and/or other Penumbra affiliated facilities. •Potential exposure to blood-borne pathogens •Requires some lifting and moving of up to 25 pounds •Must be able to move between buildings and floors. •Must be able to remain stationary and use a computer or other standard office equipment, such as a printer or copy machine, for an extensive period of time each day. •Must be able to read, prepare emails, and produce documents and spreadsheets. •Must be able to move within the office and access file cabinets or supplies, as needed. •Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. Base Pay Range Per Hour: $50.00 - $80.00 Individual compensation will vary based on factors such as qualifications, skill level, competencies, and work location. \n \n What We Offer • A collaborative teamwork environment where learning is constant, and performance is rewarded. • The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. • A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement. Please mention the word OVERTAKE and tag RMmExMzpkMjAwOjEzOjcxOjox when applying to show you read the job post completely (#RMmExMzpkMjAwOjEzOjcxOjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

We are currently searching for a dynamic Pricing/Business Analyst at our St. John's office. Reporting to the Assistant Controller - Revenue, The Pricing/Business Analyst will respond to competitive rate analysis and requests from external as well as internal users through electronic media with the support of the rating and logistics modules, and other tools. He/she will prepare analysis and rates for special projects from the Commercial and Business Development teams.Tasks and responsibilitiesRespond to analysis and requests for pricing/business information from customers and Commercial staff, as required, including terms and conditions.Actively assist commercial efforts through practice of exceptional customer service by focusing on relationship building.Interface with the Invoicing Department on sales transacted outside the prescribed invoicing process, including the investigation of invoicing discrepancies and disposition, as directed.Respond to requests for analysis of pricing discrepancies.Assist the Assistant Controller - Revenue with special projects and RFPs, including recommendations.Prepare departmental reports, as directed.Perform other duties, as assigned.QualificationsUniversity degree in transportation, administration, cost accounting or equivalent combination of experience and education.Minimum of 5 years of accounting, costing models, sales and/or related experience.Experience in transportation industry.Knowledge of AS400 (an asset).Strong knowledge of MS Office (mainly excel and word).SkillsStrong organizational and priority management skills.Ability to work with limited supervision and under pressure.Excellent written and oral communication skills.Good interpersonal skills.Ability to respond promptly to clients' needs.You are interested and believe you have all the qualifications? Please forward your resume as soon as possible at:www.oceanex.com/hrOceanex Inc. is committed to equity in employment and encourages all qualified individuals to apply. We thank all candidates for their interest but wish to advise that only those selected for an interview will be contacted. No telephone inquiries please.OCEANEX INC. is Atlantic Canada's leader in intermodal transportation and has serviced the Newfoundland market for more than 100 years. We provide door-to-door transportation service from anywhere in North America to destinations in Newfoundland and Labrador.We offer our employees a positive work environment, competitive salaries, and excellent benefits as well as an entrepreneurial environment with solid career progression based on a result driven culture. When you are a member of the Oceanex team, you enjoy a stable career where your ideas are encouraged, and skills valued.We are very proud of our strong team of 400 employees and their exceptional commitment to safety, the environment, and our customers.

Infrastructure Delivery Administrator - Training Opportunity (Temporary, Full-Time) - 2055 Close DateOpen until filledAt the City of Kamloops, we believe in progressive and barrier-free recruitment for everybody every day. This means employment opportunities for all in a safe, inclusive and diverse workplace. We know our city is stronger when we hire qualified individuals from different backgrounds with diverse experiences, cultures and perspectives.We are focused on creating the highest levels of service excellence, based on an organization-wide community culture that celebrates our employees who make it all happen. We are known as Canada?s Tournament Capital and are famous for our hospitality and community spirit, traits that make us a leader! Recreation, sports, arts and culture, health care, social activities, volunteerism, and affordable housing all meld to form a unique blend of big-city amenities with small-town ambience. This is Kamloops!Let?s make Kamloops shine! Join our team today. Position OverviewAre you an organized and detail-oriented professional with a passion for project management, financial forecasting, and keeping critical infrastructure projects on track? Do you thrive in a fast-paced environment where your expertise directly impacts major capital projects? If so, we want you on our team! As a temporary, full-time Infrastructure Delivery Administrator- Training Opportunity, you?ll play a key role in supporting the successful execution of capital projects and development servicing. You?ll work closely with consultants, contractors, and internal teams, ensuring seamless project coordination, financial accuracy, and efficient workload management. Your expertise in contract administration, data management, and performance reporting will help keep our city growing and thriving. Living in Kamloops Welcome to the vibrant heart of British Columbia, where the majestic Thompson River flows amidst stunning landscapes and a community steeped in history and culture. We are known as Canada?s Tournament Capital and are famous for our hospitality and community spirit!Nestled in the Thompson Valley and surrounded by the rugged beauty of the Interior Plateau, Kamloops boasts a unique blend of urban amenities and outdoor adventure. From its bustling downtown core, alive with eclectic shops and diverse culinary delights, to its vast network of trails, parks, and recreational facilities, Kamloops offers something for everyone.Whether you're an outdoor enthusiast seeking thrills on the mountain bike trails of nearby Kamloops Bike Ranch, a history buff exploring the city's rich Indigenous heritage at the Secwépemc Museum and Heritage Park, or a foodie delighting in the farm-to-table cuisine of its local restaurants, Kamloops welcomes you with open arms and boundless opportunities to explore, discover, and connect.The successful candidate must have the following qualifications: Completion of a Business Administration Diploma or related discipline including the completion of at least one accounting course and a minimum two (2) years? previous work experience in project administration directly related to major capital architecture, engineering or construction projects. OR Completion of a Business Administration Certificate or related discipline including the completion of at least one accounting course and a minimum two (2) years? previous work experience in project administration directly related to major capital architecture, engineering or construction projects. Eligible to write the Certified Associate in Project Management (CAPM) exam through the Project Management Institute. Proficient in advanced Word, advanced Excel and intermediate Access as demonstrated through testing. (70% pass rate required) Valid BC Class 5 driver's licence.For details on the fully qualified Infrastructure Delivery Administrator position, please see the attached job description and for further information on the training opportunit

Infrastructure Delivery Administrator (Temporary, Full-Time) - 2054 Close DateOpen until filledAt the City of Kamloops, we believe in progressive and barrier-free recruitment for everybody every day. This means employment opportunities for all in a safe, inclusive and diverse workplace. We know our city is stronger when we hire qualified individuals from different backgrounds with diverse experiences, cultures and perspectives.We are focused on creating the highest levels of service excellence, based on an organization-wide community culture that celebrates our employees who make it all happen. We are known as Canada?s Tournament Capital and are famous for our hospitality and community spirit, traits that make us a leader! Recreation, sports, arts and culture, health care, social activities, volunteerism, and affordable housing all meld to form a unique blend of big-city amenities with small-town ambience. This is Kamloops!Let?s make Kamloops shine! Join our team today. Position OverviewAre you an organized and detail-oriented professional with a passion for project management, financial forecasting, and keeping critical infrastructure projects on track? Do you thrive in a fast-paced environment where your expertise directly impacts major capital projects? If so, we want you on our team! As a temporary, full-time Infrastructure Delivery Administrator, you?ll play a key role in supporting the successful execution of capital projects and development servicing. You?ll work closely with consultants, contractors, and internal teams, ensuring seamless project coordination, financial accuracy, and efficient workload management. Your expertise in contract administration, data management, and performance reporting will help keep our city growing and thriving.Living in Kamloops Welcome to the vibrant heart of British Columbia, where the majestic Thompson River flows amidst stunning landscapes and a community steeped in history and culture. We are known as Canada?s Tournament Capital and are famous for our hospitality and community spirit! Nestled in the Thompson Valley and surrounded by the rugged beauty of the Interior Plateau, Kamloops boasts a unique blend of urban amenities and outdoor adventure. From its bustling downtown core, alive with eclectic shops and diverse culinary delights, to its vast network of trails, parks, and recreational facilities, Kamloops offers something for everyone. Whether you're an outdoor enthusiast seeking thrills on the mountain bike trails of nearby Kamloops Bike Ranch, a history buff exploring the city's rich Indigenous heritage at the Secwépemc Museum and Heritage Park, or a foodie delighting in the farm-to-table cuisine of its local restaurants, Kamloops welcomes you with open arms and boundless opportunities to explore, discover, and connect.The successful candidate must have the following qualifications: Completion of a Business Administration Diploma or related discipline including the completion of at least one accounting course and a minimum three (3) years? previous work experience in project administration directly related to major capital architecture, engineering or construction projects. OR Completion of a Business Administration Certificate or related discipline including the completion of at least one accounting course and a minimum four (4) years? previous work experience in project administration directly related to major capital architecture, engineering or construction projects. Certified Associate in Project Management (CAPM) through the Project Management Institute. Proficient in advanced Word, advanced Excel and intermediate Access as demonstrated through testing. (70% pass rate required) Valid BC Class 5 driver's licence.Please note, this Infrastructure Delivery Administrator posting coincides with posting Infrastructure Delivery Administrator - Training Opportunity (temporary, full-time) 2055. Our preference is to hire a fully qualified candidate, however, if ther

We are looking for a reliable, organized, and detail-oriented Bookkeeper to manage our day-to-day financial records and support the smooth operation of our business. This role will work closely with company ownership, suppliers, customers, and employees to keep our finances accurate and up to date. Responsibilities: Bookkeeping Manage accounts payable and accounts receivable. Process supplier invoices and customer payments. Reconcile bank accounts, credit cards, and other financial accounts. Prepare and issue customer invoices and statements. Follow up on overdue accounts and outstanding payments. Maintain organized digital and physical financial records. Job Costing & Project Tracking Track costs for individual cabinetry and millwork projects. Monitor material costs, labour costs, and other project expenses. Assist with comparing actual project costs against budgets and estimates. Identify outstanding invoices, unexpected expenses, and potential cost overruns. Maintain accurate records of customer deposits, progress payments, and final payments. Qualifications Previous bookkeeping experience, preferably in manufacturing, cabinetry, millwork, or a related industry. Experience with accounting software QuickBooks Online Knowledge of accounts payable, accounts receivable, bank reconciliations, and payroll. Familiarity with HST and Canadian bookkeeping requirements. Strong organizational skills and attention to detail. Ability to manage multiple priorities and meet deadlines. Good communication skills when dealing with customers, suppliers, and employees. Proficiency with Microsoft Excel and other standard office software. Ability to work independently, take initiative, and maintain confidentiality. What We're Looking For The ideal candidate is organized, dependable, and takes ownership of their work. They follow through on outstanding items, maintain accurate records, and can work independently without constant supervision. We are looking for someone who can help us stay on top of our finances, improve our bookkeeping processes, and provide ownership with an accurate picture of project costs and the financial health of the business. What We Offer Opportunity to join a growing custom cabinetry and millwork company. Direct communication and collaboration with company ownership. * Opportunity to improve and develop financial and administrative processes. Pay: $21.75-$30.00 per hour Work Location: In person

Accountant (full-time) ? Oakville Office Job Description Nour Private Wealth (NPW) is seeking an experienced, detail-oriented Accountant to join our Oakville office. The successful candidate will primarily be responsible for preparing and filing personal and corporate tax returns for our clients, while also supporting general accounting and financial reporting activities. The ideal candidate will possess strong knowledge of Canadian tax laws and regulations, excellent analytical and organizational skills, and the ability to manage multiple responsibilities while maintaining accuracy, confidentiality, and professionalism. Key Responsibilities Prepare and file personal (T1) and corporate (T2) income tax returns for clients. Prepare trust (T3) returns and other applicable tax filings, as required. Ensure compliance with Canadian federal and provincial tax laws, CRA regulations, and filing deadlines. Review clients' financial records and supporting documentation to ensure accurate tax reporting. Identify applicable tax deductions, credits, and tax-planning opportunities for individuals and corporations. Assist clients with CRA correspondence, notices of assessment, reassessments, and tax-related inquiries. Provide tax-related guidance and support to financial advisors and clients. Perform full-cycle accounting and maintain accurate financial records. Prepare and post journal entries, including adjusting and year-end entries. Perform bank, credit card, and general ledger reconciliations. Prepare monthly, quarterly, and annual financial statements, including balance sheets and income statements. Assist with audit preparation and year-end accounting procedures. Analyze financial transactions, expenses, and cash flow requirements. Maintain accurate accounting records and supporting documentation. Stay informed of changes to Canadian tax legislation, accounting standards, and regulatory requirements. Perform other accounting, financial reporting, and administrative duties as required. Requirements & Qualifications Minimum 3 years of experience in accounting and Canadian tax preparation, including personal and corporate income tax filings. Strong knowledge of Canadian tax laws, CRA regulations, and federal and provincial tax filing requirements. Proven experience preparing and filing T1 and T2 tax returns. Experience with Canadian tax preparation software such as Taxprep, Profile, or DT Max. Proficiency in accounting software, preferably QuickBooks Online. Bachelor's degree in Accounting, Finance, Business Administration, or a related field preferred. CPA designation or progress toward obtaining a CPA designation is considered an asset. Strong understanding of general accounting principles, journal entries, reconciliations, and financial reporting. Excellent written and verbal communication skills in English; French is considered an asset. Strong analytical, organizational, and problem-solving skills. Proficiency in Microsoft Office, particularly Excel. Ability to work independently, manage multiple deadlines, and adapt to a fast-paced environment. Strong interpersonal skills, attention to detail, and commitment to client confidentiality. Diversity, Equity & Inclusion Nour Private Wealth is committed to fostering a diverse, equitable, and inclusive workplace where all employees are respected, valued, and provided with equal opportunities to succeed. We welcome applications from qualified individuals of all backgrounds and are committed to providing an inclusive recruitment process. Accommodations are available upon request throughout the hiring process in accordance with applicable accessibility and human rights legislation. Eligibility Requirements Applicants must be Canadian citizens or permanent residents of Canada and legally authorized to work in Canada. Position Details Location: Oakville, Ontario (In-Office) Employment Type:* Full-Time

Job Description Summary Job Description Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts. Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs. Work closely with software developers to integrate LLM solutions into existing or new applications. Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units. Assist in gathering and analyzing user feedback to continually improve prompt effectiveness. Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection. Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base. Qualifications Master's degree in Computer Science, AI/ML, Engineering, Mathematics, or related field with 5+ years' relevant experience. Ideal Candidate Characteristics PhD in Computer Science, Engineering, Data Science, or related field Experience with prompt engineering and familiarity with tools such as OpenAI's GPT models, Hugging Face, etc. Proficiency in Python or other programming languages commonly used in AI/ML development. Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy). Previous experience or internships involving NLP or machine learning projects. Familiarity with version control systems like Git. Understanding of traditional industry operations and challenges. Strong problem-solving skills and attention to detail. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to work collaboratively in a team environment and adapt to changing project requirements. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $98,400.00 and $164,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on September 01, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Title : AI/ML Engineer (All Levels) Location : Bay Area (Hybrid) Compensation : Up to $350,000 + Equity We're partnered with a well-funded, high-growth Series B startup building the next generation of AI-native data infrastructure for Fortune 500 enterprises. With 3.5x revenue growth in FY'24 and 160% net revenue retention, they're scaling fast and investing heavily in the AI engineering team that powers their core product. This is a high-impact role where you'll own the intelligence layer of the platform, making real architectural decisions around agent design, model selection, and evaluation strategy. Everything you build ships directly to customers; this is not a POC or internal tooling team. What You'll Do Architect multi-step AI agents end-to-end, covering problem decomposition, context retrieval, error recovery, and output quality Own RAG pipelines, vector and graph-based retrieval systems, and knowledge representations that let agents reason accurately over complex enterprise data Build the AI layer behind the platform's core code generation capability, from prompt design and model selection through to fine-tuning and output validation Make production AI work at scale, balancing latency, throughput, and observability, and knowing when to optimize a model versus restructure a system Think in failure modes and evaluation strategy, not capability demos, and own the improvement loop Requirements 4-6+ years of software engineering experience with meaningful AI/ML depth Proven experience building and shipping AI agents or coding agents in production Strong Python skills with hands-on experience across RAG, vector databases, and knowledge graphs Experience with LLM APIs, prompt engineering, fine-tuning, and structured outputs in production Familiarity with AWS and Kubernetes for production AI deployment Experience with data platforms such as Databricks, Snowflake, BigQuery, or Spark is a strong bonus Scale or Go experience is a bonus If you're a builder who thinks in failure modes, owns what you ship, and thrives in environments where last year's best practice is already obsolete, this is a rare opportunity to have direct leverage on a product used by some of the world's largest enterprises.

Responsibilities About the Team: Global E-commerce is a content-driven business powered by short-form video and live-streaming, dedicated to becoming the premier destination for users to discover affordable, high-quality products. Our team strives to deliver a tailored and efficient shopping experience while upholding a robust governance and risk control framework to ensure platform integrity, merchant compliance, and a secure ecosystem. Responsibilities: Architect and develop sophisticated LLM-based systems to process high-dimensional unstructured data (e.g., text, logs, conversations) from diverse sources. Define and implement complex semantic understanding frameworks, including fine-grained intent classification and entity extraction, to achieve deep contextual awareness. Apply state-of-the-art techniques to enhance model performance, including Instruction Tuning, RLHF/DPO, and Contextual Prompt Engineering. Optimize model serving for production environments using quantization, distillation, and efficient attention mechanisms (e.g., FlashAttention, vLLM). Qualifications Minimum Qualifications: MS or PhD in Computer Science, AI, Mathematics, or a related field. 5+ years of professional experience in one or more of the following fields: Machine Learning, Natural Language Processing (NLP), or Computer Vision. Proficiency in software development with at least one of the following programming languages: C++, Python, Go, or Java. Preferred Qualifications: Experience in fine-tuning, distillation, or reinforcement learning for large language models in conversational AI applications. Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling. Experience in developing and optimizing e-commerce video and product multimodal large models, combining LLMs with video/product representations to support tasks like multimodal classification, video QA, and cross-modal retrieval. A strong understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to inform AI service design. About USDS TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.​ ​ On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.​ Why Join Us Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​ We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​ ​ Diversity & Inclusion​ TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​ USDS Reasonable Accommodation USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA​ Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $177688 - $341734 annually.​ Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​ Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).​ The Company reserves the right to modify or change these benefits programs at any time, with or without notice.​ For Los Angeles County (unincorporated) Candidates:​ Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:​ Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;​ Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and​ Exercising sound judgment.​

CAS uses unparalleled scientific content, specialized technology and unmatched human expertise to help R&D organizations across Commercial, Government and Academic sectors create groundbreaking innovations that benefit the world. As the Scientific Information Solutions Division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 119 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make actionable scientific insights accessible to innovators worldwide. CAS is currently seeking a Senior Data Scientist focused on agentic AI development and large language model (LLM) engineering . This position will be located at our headquarters in Columbus, Ohio. This position will also have remote flexibility for the right candidate. This role sits on the Data Analytics and Insights (DAI) team, which builds the AI that powers CAS's scientific information products. You will work on the systems behind the Newton research assistants in SciFinder and BioFinder, the natural-language query agent in IPFinder, predictive models that ship inside products, and AI-assisted content curation pipelines, alongside data engineers, product managers, and scientific domain experts. This role requires a highly self-directed professional who can independently design, build, and evaluate agentic AI systems and LLM-powered applications that turn CAS's curated, provenanced scientific content into trustworthy research capabilities. The successful candidate will provide strategic input into product and platform ideation, drive complex technical initiatives from concept through production, and translate advanced AI engineering into tangible business value with minimal oversight, while providing technical direction to less-experienced scientists and engineers. Key Responsibilities Agentic AI & LLM System Development Independently design, build, and productionize agentic AI systems — including multi-step, tool-using, and multi-agent workflows — that support scientific research tasks. Develop retrieval-augmented generation (RAG) pipelines that ground model outputs in curated, provenanced scientific content. Implement and extend model-context and tool-integration frameworks (for example, the Model Context Protocol) to connect LLMs and agents to scientific data sources and external systems. Apply prompt engineering, context engineering, and orchestration techniques to improve the reliability and quality of agentic and generative workflows. Applied AI Engineering & Model Adaptation Fine-tune, adapt, and deploy large language models — including self-hosted, open-weight models — for domain-specific scientific tasks. Develop and deploy machine learning models that ship inside CAS products, such as property, toxicity, or biologic developability prediction, using scientific judgment to inform feature design and validate model behavior. Take AI capabilities from prototype all the way through production: building the data, training, and inference pipelines, owning the deployment, and iterating after first release, not just the proof of concept. Work with engineering and product to put AI features in front of real users at scale, and stay accountable for how they behave once they're live. Set and hold the engineering standard for production AI: appropriate safeguards such as content-safety guardrails, entitlement-based access control, evaluation, and model fallback, delivered as clean, tested, well-documented software with unit, integration, and end-to-end tests, containerized development, and CI/CD. Use agentic software development tools such as Claude Code as a core part of the daily workflow, and set the team's practice for using them well. Scientific Grounding & Evaluation Design rigorous evaluation frameworks for LLM and agentic systems — measuring accuracy, faithfulness, and robustness, and distinguishing acceptable model variability from factual error. Critically evaluate scientific datasets and model outputs for quality, completeness, and scientific validity, applying domain understanding of chemistry, materials science, or the life sciences. Establish trustworthy-AI practices that keep model outputs grounded in curated, provenanced scientific content rather than the model's own priors. Business Impact & Communication Independently synthesize technical findings and present strategic recommendations to senior executives and C-level stakeholders. Influence organizational and product decisions through compelling, data-driven narratives and demonstrations. Represent CAS's AI work externally through client engagements, conference presentations, and publications. Technical Leadership & Mentorship Set the technical direction for a team of data scientists and data engineers: the standards, patterns, and architecture for how agentic and LLM systems get built, spanning data and inference pipelines, model and prompt design, and deployment. Own design and code review across that work, from model and prompt design through data pipelines and serving infrastructure, and raise the bar on quality, reliability, and reproducibility. Mentor junior data scientists and AI/data engineers, and unblock them on difficult technical problems. Set the team's standards for AI engineering, evaluation, and responsible deployment. Lead and influence cross-functional initiatives as part of a shared-services model, without direct people-management responsibility. Share knowledge across the team through demos, documentation, and internal learning sessions. Qualifications Required Master's degree in Computer Science, Data Science, Chemistry, Materials Science, Chemical Engineering, or a related technical or scientific field with 6+ years of applied AI/ML or data science experience; a Bachelor's degree in one of those fields with 8+ years; or a PhD with 3+ years. Advanced proficiency in Python and the modern AI engineering stack (for example, PyTorch, Hugging Face, vector databases, orchestration/agent frameworks, SQL, and cloud platforms). Demonstrated, hands-on experience building LLM-powered applications, agentic or multi-agent systems, and/or RAG pipelines — and taking them to real users in production, including the post-launch iteration that implies. Experience fine-tuning, adapting, or deploying large language models, including familiarity with self-hosted or open-weight models. Working knowledge of evaluation methodology for generative and agentic systems (accuracy, faithfulness, and hallucination/variability management). Ability to work with scientific data and domain concepts — such as chemical or materials data, molecular representations, or life-sciences datasets — well enough to judge whether a system's outputs are accurate, defensible, and useful to working scientists, and to partner effectively with subject-matter experts. Exceptional communication skills, with a proven ability to influence senior stakeholders and lead cross-functional efforts. Strong project-management capability across multiple concurrent initiatives. Experience deploying and operating production systems in at least one cloud environment (AWS, Azure, or GCP). Proficiency with agentic software development tools (for example, Claude Code or similar AI-assisted development environments). Preferred PhD in a computational, physical, chemical, or life-sciences field. Experience with tool-use and integration frameworks such as the Model Context Protocol (MCP). Experience self-hosting or serving open-weight models in production (LLMOps / MLOps). Cheminformatics experience or familiarity with molecular representations and scientific databases. Experience building and deploying predictive ML models in a scientific or regulated domain. Track record of publications or conference presentations in AI-for-science or applied machine learning. Consulting or client-facing experience in scientific, chemical, or life-sciences sectors. CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran

Our Company At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI. What You'll Do We are building the next generation of AI-powered knowledge, reasoning, and autonomous agent platforms that operate at enterprise scale. We are seeking an exceptional Principal NLP Engineer to own and lead the design, development, and deployment of advanced natural language technologies powering semantic and context graphs, context analysis, intelligent search, retrieval, question answering, knowledge extraction, reasoning systems, AI agents, and enterprise copilots for Teradata Context Engine, our Autonomous Knowledge Platform. Context Engine is a platform that converts enterprise data estates into governed, agent-ready knowledge. Built for organizations where AI reliability and auditability are non-negotiable, Context Engine enables companies to deploy AI workflows on the data they already own — without rebuilding their infrastructure, without retraining their models, and without waiting for generic AI synthesis to learn the business terminology that took their analysts years to master. This is a deeply hands-on technical leadership role for a recognized expert in Natural Language Processing who combines strong research foundations with proven experience shipping production systems that serve millions of users and process billions of documents. You will work at the intersection of large language models, information retrieval, knowledge graphs, semantic understanding, and agentic AI. The ideal candidate has a track record of driving breakthrough NLP capabilities from research to production and possesses deep expertise across classical NLP, modern transformer architectures, retrieval-augmented generation (RAG), multimodal understanding, information extraction, and large-scale language model systems. Technical Leadership Define and execute the strategic roadmap for NLP and language understanding capabilities across our Knowledge Platform. Serve as the technical authority for large-scale NLP architecture, algorithms, and production deployment. Drive innovation in enterprise language understanding, semantic search, retrieval systems, knowledge extraction, and AI reasoning. NLP and Language Intelligence Design and build advanced NLP systems for: Entity extraction Relationship extraction Information extraction Document understanding Semantic indexing Context understanding and representation Text classification Topic modeling Summarization Question answering Conversational AI Knowledge grounding Multi-document reasoning Extracting context from multi-modal sources of language Multi-lingual solutions Machine translation Develop systems that transform unstructured enterprise content into structured knowledge assets. Advance techniques for long-context understanding, document intelligence, and multi-hop reasoning. Build domain-adaptive language understanding models across diverse enterprise data sources. Develop solutions with highest quality and performance Develop solutions that are tested and validated Large Language Models Design and optimize applications built on frontier foundation models. Build advanced retrieval-augmented generation architectures for enterprise-scale environments. Develop agentic workflows that leverage LLMs for planning, reasoning, execution, and tool usage. Create evaluation methodologies that measure factuality, grounding, trustworthiness, and task completion. Improve model performance through prompt engineering, fine-tuning, continued pretraining, synthetic data generation, and reinforcement-learning-based approaches. Knowledge and Semantic Systems Design NLP pipelines that power enterprise knowledge graphs and semantic layers. Develop ontology-aware language understanding systems. Build entity resolution, canonicalization, taxonomy mapping, and concept extraction capabilities. Connect language understanding with graph-based reasoning and enterprise knowledge discovery platforms. Platform and Scale Build highly scalable distributed NLP systems processing petabytes of enterprise content. Optimize inference architectures for latency, throughput, cost efficiency, and reliability. Lead deployment strategies across on-prem, cloud-native, hybrid, and enterprise environments. Partner closely with platform engineering teams to operationalize NLP services at global scale. Research and Innovation Stay at the forefront of advances in: Foundation models Agentic AI Retrieval systems Representation learning Deep learning Knowledge-enhanced language models Reasoning systems Publish, patent, contribute to open source, and represent the organization externally at premier AI conferences and industry events. Mentor senior engineers and help establish NLP engineering best practices across the company. Who You'll Work With Partner with distinguished engineers, architects, researchers, and product leaders to shape the future of Teradata enterprise AI. What Makes You a Qualified Candidate PhD or MS in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, NLP, or related field. 12+ years of software engineering experience, including 8+ years building production NLP and machine learning systems. Recognized industry leader in Natural Language Processing, Language AI, Search, Retrieval, or LLM-based systems. Deep hands-on expertise developing and deploying large-scale NLP systems in production. Deep Expertise In Transformer architectures Large Language Models Retrieval-Augmented Generation (RAG) Semantic search Information retrieval Knowledge extraction Entity recognition Relation extraction Text understanding Conversational AI Machine learning Deep learning Representation learning Graph-enhanced NLP Vector search systems Knowledge graphs Strong Programming Skills Python PyTorch TensorFlow/JAX Spark Distributed computing frameworks Experience With Hugging Face ecosystem Fine-tuning and adaptation frameworks Large-scale model evaluation Vector databases Embedding models Search engines Knowledge graphs Distributed ML infrastructure AI observability and evaluation platforms Preferred Qualifications PhD with published research in NLP, IR, ML, or AI in top-tier peer reviewed journals and conferences Experience building systems that serve hundreds of millions of users or process billions of documents. Contributions to major NLP open-source ecosystems. Publications in ACL, EMNLP, NAACL, COLING, NeurIPS, ICML, ICLR, KDD, SIGIR, WWW, or related venues. Experience leading architecture for enterprise copilots, intelligent assistants, or autonomous agents. Expertise in enterprise search and knowledge management systems. Experience with graph-based reasoning and knowledge graph technologies. Patent portfolio in NLP, machine learning, search, or language understanding. What You'll Bring Established reputation as an industry expert in NLP and language AI. Proven record of taking breakthrough research into production at scale. Experience building state-of-the-art systems involving: Enterprise search Enterprise copilots Document intelligence Retrieval systems Knowledge extraction AI agents Semantic reasoning Knowledge graphs Ability to influence technical strategy across multiple organizations. Strong balance of scientific rigor, engineering excellence, and product impact. Success Metrics Within 12 months, you will: Define next-generation NLP and language intelligence architecture for the platform. Deliver measurable improvements in retrieval quality, answer accuracy, grounding, and user satisfaction. Establish world-class evaluation and benchmarking frameworks. Lead development of enterprise-scale knowledge extraction and semantic understanding capabilities. Enable agentic AI experiences that leverage enterprise knowledge with high trust, transparency, and precision. Raise the organization's NLP and AI capabilities to industry-leading levels. Why We Think You'll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are Why We Think You'll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

We are seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases. The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development. You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise. Key Responsibilities Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity. Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows. Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases. Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing. Integrate AI/ML solutions with enterprise systems, APIs, and data platforms. Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance. Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration. Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems. Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely. Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field. 2+ years of software engineering experience, including work with machine learning (ML) or AI systems. Hands-on experience building LLM-powered applications in production environments. Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn. Experience with LLM ecosystems such as: OpenAI / Anthropic / Google, Open-source LLMs Hugging Face LangChain, LlamaIndex, or similar orchestration frameworks Experience building RAG pipelines and working with vector databases. Understanding of prompt engineering, embeddings, and model evaluation. Experience building APIs, MCPs, and scalable backend services. Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar. Ability to collaborate with cross-functional teams. Passion for technology and AI. Preferred Qualifications Experience building AI agents, agentic platforms, or autonomous workflows. Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.). Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT). Experience with cloud-based AI infrastructure (AWS, Azure, or GCP). Familiarity with Java, JS, and Java applications and environments. Experience with MLOps / LLMOps tools and evaluation pipelines. Experience implementing AI governance, observability, and guardrails. Salary Range The pay range for this position is $110,000 to $160,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. Perks And Benefits 4 weeks accrued paid time off + 9 paid national holidays per year Free onsite gym at our Boston Location Tuition Reimbursement Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision) Robust health and wellness program and fitness reimbursements Auto and home insurance discounts Matching gift opportunities Annual 401(k) Employer Contribution (up to 7.5% of your base salary) Various Paid Family leave options including Paid Parental Leave Resources to promote Professional Development (LinkedIn Learning and licensure assistance) Convenient location directly across from South Station and Pre-Tax Commuter Benefits About The Company The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent"