# Senior Applied AI/ML Engineer

**Company:** [TetraScience](https://hotfix.jobs/companies/tetrascience)
**Location:** Cambridge, MA
**Role:** ML Engineering
**Experience:** 10+ years
**Skills:** AI/ML, Reinforcement Learning, LLMs, Fine Tuning, Automated Retraining, Agentic Governance, Guardrails, Evaluations, Python, Machine Learning
**Posted:** 2026-07-06

> 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.

## Job Description

## 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.

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