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Senior Applied AI/ML Engineer

Senior Applied AI/ML Engineer responsible for designing, developing, training, and deploying AI/ML products focused on life sciences and drug discovery acceleration. Requires advanced degree, 10+ years AI/ML experience (or 5+ in regulated life sciences), end-to-end product ownership, and expertise in RL, fine-tuning, or LLM agents.

About the job

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.

Skills

AI/ML, Reinforcement Learning, LLMs, Fine Tuning, Automated Retraining, Agentic Governance, Guardrails, Evaluations, Python, Machine Learning

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