Senior Machine Learning Engineer Jobs in Danbury, CT

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Machine Learning Engineer to join our Data Enablement and Analytics (DEA) team within Preclinical Manufacturing and Process Development (PMPD). You'll develop, build, and deploy analyses and machine learning models that support bioprocess development, working at the intersection of software engineering, data science, and bioprocess domain expertise. You'll partner closely with scientists and process engineers, and mentor and coordinate citizen data scientists, to streamline workflows, enable automation, and accelerate decision-making across PMPD.

This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

• Shift Requirements: Full-time, standard business hours, with flexibility to support before- and after-hours executive meetings, town halls, and corporate events
• Location: On-site in Tarrytown, NY
• Flexibility & travel: Minimal to no travel; must be available on-site consistently, 4 days per week at minimum

• Partner closely with scientists, engineers, and analysts to understand bioprocess workflows and identify high-impact data science opportunities
• Acquire, clean, and structure complex datasets to enable scalable, repeatable analyses
• Design, develop, and apply advanced analytics and machine learning models to drive data-informed decision-making
• Deploy models into production environments, enabling automated and autonomous operations where appropriate
• Lead, mentor, and coordinate citizen data scientists on critical initiatives across PMPD
• Enhance, maintain, and extend existing analytics tools and platforms to support new use cases and evolving business needs
• Contribute as an active member of Agile teams within a Scaled Agile Framework, supporting planning, delivery, and continuous improvement
• Continuously evaluate emerging technologies and methodologies to strengthen data science capabilities within the organization

• Bachelor's or Master's degree in Chemical Engineering, Biomedical Engineering, or a related discipline, with 5-7 years of experience in bioprocess development, pharmaceutical manufacturing, or a closely related domain
• Demonstrated ability to apply machine learning and predictive analytics to complex, real-world problems
• Strong programming skills in Python and SQL, with a solid understanding of data modeling and database design
• Experience working in Linux/Unix environments and using Git for version control and collaboration
• Excellent communication skills and a collaborative mindset, with the ability to partner effectively with scientists, engineers, and analysts, while mentoring citizen data scientists
• Familiarity with DevOps and deployment technologies such as Kubernetes, NixOS, and Jenkins is preferred
• Experience with Operational Technology and analytics platforms (e.g., PI Historian, OPC, MQTT, Dataiku, Seeq) is a plus

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.

Salary Range (annually)