sandboxaq - ML Research Engineer, AI for Life Sciences
Requirements
• 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.
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.
Benefits
• 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
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