ML Research Engineer, AI for Life Sciences

Academic Foundation: PhD, or research-focused MSc, in Computer Science, Physics, Chemistry, or a related quantitative field focused on advanced computational methods.

Software Excellence: Staff (5+ years) industry experience developing productionized software in professional teams.

Structural Biology Exposure: Experience or training in data-science related tasks related to structural biology.

Research Translation: Expertise translating research papers into concrete ML software artifacts.

Product Lifecycle Mastery: Experience supporting models in external-facing products, demonstrating the ability to bridge the gap between "research code" and "product code".

Domain Expertise: Direct experience in biopharma or training leading-edge affinity, structure-prediction, or generative chemistry models.

Commercial Insight: A history of developing and launching successful commercial software products within a professional engineering team.

Advanced MLOps: Familiarity with MLOps practices on major cloud platforms to support automated scaling and model monitoring.

Collaborative Innovation: Experience working in interdisciplinary environments where AI intersects with physical or biological sciences.

We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.

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

Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.

Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews