ML Research Engineer AI for Life Sciences

ABOUT SANDBOXAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges.

The company’s Large Quantitative Models (LQMs) power advances in life sciences financial services navigation cybersecurity and other sectors.

We are a global team that is tech-focused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties.

The company emerged from Alphabet Inc. as an independent growth capital-backed company in 2022 funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ we’ve cultivated an environment that encourages creativity collaboration and impact.

By investing deeply in our people we’re building a thriving global workforce poised to tackle the world's epic challenges.

Join us to advance your career in pursuit of an inspiring mission in a community of like-minded people who value entrepreneurialism ownership and transformative impact.

THE OPPORTUNITY The AI Sim R&D team creates leading edge ML and physics-based models (LQMs) to advance drug and materials discovery.

We are a flexible creative and impact driven team of multidisciplinary scientists and engineers whose products dramatically accelerate the creation of molecules and medicines.

As a ML Research Engineer you will bring cutting edge research into production-grade reality tasked with making in silico design the dominant paradigm in drug discovery.

Your central purpose is to architect scale and optimize the scientific codebases that power our LQMs.

Over your first year you will drive the transition of high-impact prototypes into robust products orchestrate distributed training pipelines on world-class GPU infrastructure and pioneer hardware-level optimizations that push the boundaries of computational chemistry.

KEY RESPONSIBILITIES - Research Architect and Scale: Bring novel ideas and the content of scientific papers into high-performing and robust scientific code. - ML Engineering: Lead the ideation benchmarking and execution of complex datasets and ML models ensuring seamless integration into our large-scale simulation frameworks. - Ownership of the Lifecycle: Drive software through the entire product lifecycle—from foundational research and implementation to launch and long-term support—ensuring technical excellence at every stage.

ESSENTIAL SKILLS & EXPERIENCE - 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.

HIGHLY DESIRED SKILLS & EXPERIENCE - 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.

WHY JOIN US?

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.

SANDBOXAQ WELCOMES ALL 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 https://www.sandboxaq.com/ai-in-interviews