Generate Biomedicines

Generate Biomedicines

Senior Machine Learning Scientist I, Model-Driven Optimization

Somerville, MA · Senior

Sponsorship not specified$192k-$265kDetected 8 days ago
PythonMachine LearningDeep LearningPyTorchNLPLLMsAgentic AIA/B TestingRecruitingBioinformaticsExperimental DesignAnimal StudiesLeadershipCommunicationCollaboration

About the role

  • We are looking for someone who can serve as a technical leader and hands-on individual contributor, driving complex, high-impact work from problem framing through implementation, deployment, and experimental impact.
  • This role is part of a highly collaborative team environment that balances in-person collaboration with hybrid flexibility based out of our Somerville, MA office.
  • PhD in machine learning, computational biology, computer science, applied mathematics, engineering, or a related quantitative field.

Responsibilities

  • Shape data-generation and data-use strategies that make experimental campaigns maximally informative for model improvement, therapeutic optimization, and future design cycles.
  • Design, implement, test, and maintain production-quality ML models, software components, and data workflows, with attention to reliability, reproducibility, observability, and computational efficiency.
  • Partner with ML engineering and software teams to integrate these components into robust, scalable platform capabilities, with clear ownership across team boundaries.
  • Collaborate closely with protein designers and wet-lab scientists to ensure models and optimization systems are grounded in experimental reality and deliver measurable impact.
  • Identify important technical gaps, develop proposals, define milestones, align stakeholders, and help set technical direction across cross-functional programs.
  • Communicate clearly across disciplines and help raise technical standards across ML, engineering, protein design, and experimental teams.
  • This role will focus on building the ML methods, data strategies, and closed-loop systems that determine what we design, build, test, and learn from next.
  • In this role, you will help advance the technical foundation of our lab-in-the-loop protein optimization platform, with a focus on sequential decision-making, experimental design, property modeling, and scalable design systems.
  • You will partner closely with protein designers, wet-lab scientists, ML scientists, and engineers to build durable capabilities that accelerate therapeutic discovery.

Nice to have

  • Experience with multi-objective optimization, uncertainty calibration, model-guided library design, or experimental campaign planning.
  • Experience contributing to shared ML platforms, libraries, APIs, or developer tooling, including monitoring, debugging, performance optimization, and long-term maintenance.
  • Who Will Love This Job:
  • You will work on problems where models, data, experiments, and engineering systems are tightly connected, and where better optimization strategies can directly change what gets built and tested in the lab.
  • About Generate Biomedicines
  • Recruitment & Staffing Agencies: Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates.
  • The submission of unsolicited resumes by recruitment or staffing agencies to Generate:Biomedicines or its employees is strictly prohibited unless contacted directly by the Company's internal Talent Acquisition team.
  • Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Generate:Biomedicines and the Company will not owe any referral or other fees with respect thereto.

Compensation

  • The base salary range provided reflects our current estimate of what we anticipate paying for this position.
  • Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, and market dynamics.
  • In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.
  • Per Year Salary Range
  • $192,000 - $265,000 USD

Benefits

  • Develop new machine learning methods and systems for lab-in-the-loop protein optimization, including property models and multi-objective optimization strategies for therapeutic protein design.
  • Build and apply LLM-enabled and agentic workflows that help scientists explore design hypotheses, connect models to data and experiments, and accelerate iterative learning.
  • Generate:Biomedicines is seeking a creative, rigorous, and execution-oriented machine learning scientist to join our Model-Driven Design team.
  • The Model-Driven Design team works at the interface of machine learning, protein design, engineering, and experimental science.

Company info

  • Generate:Biomedicines does not accept unsolicited resumes from any source other than candidates.

Visa & Work Authorization

  • al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
Apply directly at Generate Biomedicines →Create a free account for alerts like thisView Generate Biomedicines immigration profile

This listing is sourced directly from Generate Biomedicines's careers page and normalized into a canonical job model.