Machine Learning Engineer

Machine Learning EngineerAbout Blue Voice At Blue Voice our primary mission is to empower first responders with state-of-the-art SaaS solutions, leveraging machine learning and LLMs. We seek to modernize and revolutionize their workflow, response times, and overall efficiency while improving outcomes in the field. We are a venture-backed startup with a lean team distributed across the country and pods on the East and West coasts. The Role Position: Machine Learning Engineer Reports to: Director of ML Location: Remote (US). SF Bay Area preferred, with opportunities for in-person work. Key Responsibilities: Collaborate closely with the Director of ML and the rest of the founding engineering team to design, implement, and iterate on our core SaaS product. Contribute to the full ML lifecycle for products, from design and implementation to evaluation and training, as well as to backend and occasional full-stack initiatives outside the traditional ML scope. Monitor production quality, surface regressions proactively, and help harden existing systems. Triage customer-reported issues end-to-end, identifying root causes and turning them into fixes and eval cases. Keep up to date with the latest developments in ML, specifically in LLMs and RAG, and be comfortable discussing new tools and approaches. Actively participate in product decisions and project deliverables, collaborating across the company with customer success and sales. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 3-4 years of software engineering experience. We weigh what you've built and shipped alongside years of experience and welcome earlier-career applicants with strong work to show. Proficiency in Python and familiarity with modern software development best practices, including integrating AI into the development life cycle. Strong ML fundamentals, specifically LLMs and related technologies. Experience developing and deploying customer-facing SaaS applications. Solid backend fundamentals: APIs, data pipelines, testing, and debugging across service boundaries. Knowledge of or willingness to learn mobile application deployment and integration of ML components with mobile full stack development on React Native. Eligible for CJIS access: you must be a US person able to pass a fingerprint-based background check. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying scalable ML solutions in the cloud. Experience with CI/CD pipelines and Agile methodologies. Prior exposure to, or a strong interest in, the first responder ecosystem or related fields. You'd be a great fit for this role if you: Are a self-starter with the ability to learn new skills quickly and pivot in a fast-evolving environment where development and deployments happen in a matter of days. Bring an opinion. When you find something, say what should change and why. Have a genuine passion for technology, in particular LLMs, and their potential to positively impact society. Benefits: Competitive salary and equity. Opportunities for professional growth and leadership in a fast-growing startup. Flexible working hours and fully remote work. Health and wellness benefits. For more information or to apply, please send your resume accompanied by a brief introduction and any relevant portfolio or project links to amit@bluevoice.io and CC jordan@bluevoice.io Blue Voice is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds and experiences.