ML Research Engineer, AI for Life Sciences

sandboxaq
United States
Workplace: RemoteFull timeUSD 134,400 - 252,000 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Research translation","Technical excellence","Collaboration","Ownership","Interdisciplinary problem-solving"]

Build and scale production-grade machine learning and physics-based models that accelerate drug and materials discovery. Translate research papers into robust scientific code, architect and optimize the codebases powering large quantitative models, and lead benchmarking across complex datasets. Drive the full product lifecycle from prototypes to launch, orchestrating distributed training pipelines on world-class GPU infrastructure while supporting external-facing model products and long-term reliability.

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sandboxaq
sandboxaq
1 month ago

ML Research Engineer, AI for Life Sciences

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and scale production-grade machine learning and physics-based models that accelerate drug and materials discovery. Translate research papers into robust scientific code, architect and optimize the codebases powering large quantitative models, and lead benchmarking across complex datasets. Drive the full product lifecycle from prototypes to launch, orchestrating distributed training pipelines on world-class GPU infrastructure while supporting external-facing model products and long-term reliability.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Bring novel research ideas into high-performing, robust scientific code for ML and physics-based models.
  • •Lead ideation, benchmarking, and execution of complex datasets and ML models, integrating them into large-scale simulation frameworks.
  • •Drive software through the full product lifecycle from implementation and launch to long-term support.
  • •Architect, scale, and optimize the scientific codebases powering large quantitative models.
  • •Orchestrate distributed training pipelines on GPU infrastructure and pioneer performance optimizations for computational chemistry.

Pay and Benefits

Salary: USD 134,400 - 252,000 annually
Perks:Health InsuranceDentalVisionRetirement SavingsPaid ParentalEquity

Key Requirements

  • •PhD or research-focused MSc in Computer Science, Physics, Chemistry, or a related quantitative field focused on advanced computational methods.
  • •5+ years developing productionized software in professional teams.
  • •Experience or training in data-science tasks related to structural biology.
  • •Expertise translating research papers into concrete ML software artifacts.
  • •Experience supporting ML models in external-facing products, bridging research code and product code.
Experience:Life sciencesBiopharmaStructural biologyComputational chemistryMLOps
Education:PhD / Doctorate in Computer Science, Physics, Chemistry, or a related quantitative field
Skills:Research translationTechnical excellenceCollaborationOwnershipInterdisciplinary problem-solving
Tech Stack:Machine learningGPUMLOpsCloud platforms

Company Brief

sandboxaq
Builds quantum-safe cybersecurity, quantum computing, and quantum-enabled AI solutions for enterprises and government. Develops software, cryptography, and platform integrations to accelerate adoption of quantum technologies and defend infrastructure against future quantum threats.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Cambridge, United States
Founded: 2021
WebsiteLinkedIn