Senior Applied AI/ML Engineer

> TetraScience · Cambridge, United States · Full-time · Posted 2026-07-06

Workplace: on_site

Department: Engineering

Description

Who We Are

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.

What You Will Do

• 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

What makes TetraScience a great place to do AI?

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.