ML Research Engineer, AI for Life Sciences

This is a fully remote position, open to applicants in United States.

📋 Description

• Transform innovative concepts and scientific literature into high-performance and reliable scientific software.

• Oversee the generation, evaluation, and implementation of intricate datasets and machine learning models, ensuring their smooth incorporation into our extensive simulation frameworks.

• Manage software throughout the complete product lifecycle—from initial research and development to deployment and ongoing support—ensuring technical excellence at every phase.

⛳️ Requirements

• PhD or research-oriented MSc in Computer Science, Physics, Chemistry, or a related quantitative discipline with a focus on advanced computational techniques.

• At least 5 years of industry experience in developing production-level software within professional teams.

• Familiarity or training in data science tasks pertinent to structural biology.

• Proven ability to convert research papers into tangible machine learning software artifacts.

• Experience in supporting models within external-facing products, showcasing the capability to connect "research code" with "product code".

• Direct experience in biopharma or training in cutting-edge affinity, structure-prediction, or generative chemistry models (strongly preferred).

• A track record of developing and launching successful commercial software products in a professional engineering setting (strongly preferred).

• Knowledge of MLOps practices on major cloud platforms to facilitate automated scaling and model monitoring (strongly preferred).

• Experience in interdisciplinary environments where artificial intelligence intersects with physical or biological sciences (strongly preferred).

🏝️ Benefits

• Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

• Comprehensive medical, dental, and vision coverage for employees and their dependents with generous employer premium contributions.

• Retirement savings plan with company matching.

• Paid parental leave and inclusive family-building benefits.

• Flexible paid time off, seasonal company-wide breaks, and support for flexible work arrangements that promote sustainable performance.

• Opportunities for ongoing learning and development through on-the-job training, cross-functional collaboration, and access to internal learning and development resources.