Senior Applied AI/ML Engineer

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.

In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.

• →Responsible for designing, developing, training, and validation of AI/ML products
• →Support and advise executive leadership regarding technical and commercial feasibility
• →Work with commercial teams to understand the impact of AI in life-sciences
• →Collaborate with cross functional teams to build products

The core of TetraScience is helping Pharmaceutical companies organize, contextualize, and make their data accessible. This allows the Applied AI team to focus on building the tools to solve problems rather than focusing on the plumbing (the data is already AI-ready). We are looking for people who want to use their skills to have an outsized impact, by building tools to accelerate the drug discovery process not just for one company but for many companies at once. We have a number of projects looking for someone to lead the AI project development, including ML-reinforcement learning with large continuous datasets and developing LLM agent harnesses, governance, and evaluation metrics. While the team actively learns from each other and shares knowledge and best practices, it is expected that someone in this role is capable of working independently as needed and has the required skills to develop the AI/ML applications in at least one of these areas. 

• You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston region.
• 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