Senior Applied AI/ML Engineer

Responsibilities

• Design, develop, train, and validate AI/ML products.
• Support and advise executive leadership on technical and commercial feasibility of AI initiatives.
• Work with commercial teams to understand the impact of AI in life sciences.
• Collaborate with cross-functional teams to build products.
• Lead AI project development in areas such as ML reinforcement learning with large continuous datasets and developing LLM agent harnesses, governance, and evaluation metrics.
• Engage directly with customers onsite up to 4-5 days per week in the Boston region.
• Develop AI/ML applications independently in at least one key area (ML reinforcement learning, fine tuning, automated retraining, or LLM agentic governance).

Requirements

• Advanced degree in Biological, Data, or Computer Science.
• 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments.
• Portfolio demonstrating end-to-end ownership of AI/ML products.
• Proven track record of deploying AI models addressing real world problems.
• Superior talent developing at least one of: ML reinforcement learning, fine tuning, or automated retraining; LLM agentic governance including guardrails and evaluations.

Preferred Qualifications

• Degree in AI or ML.
• Deep understanding of hurdles facing pharmaceutical drug development.
• Demonstrated ability to make productized applications (for use by more than one group).
• Excellent communication skills.
• Ability to advocate and evangelize for AI initiatives internally and externally.
• Experience collaborating with teams on large software projects.

Benefits

• 100% employer paid benefits for all eligible employees and immediate family members.
• 401K.
• Unlimited paid time off (PTO).
• Company paid Life Insurance, LTD/STD.