London, England, United Kingdom · On-site
$228k–$358k/yr
Your Impact at LILA Lila Sciences is seeking a Machine Learning Scientist, Data-Efficient Learning for Drug Discovery to build models and learning strategies for settings where data is scarce, expensive, and intentionall…
Skills: Machine learning, Data-efficient learning, Drug discovery, Active learning, Meta-learning
London, England, United Kingdom · On-site
$141k–$218k/yr
Your Impact at LILA Lila Sciences is seeking a Computational Biophysics Scientist to help ensure that our AI agents can use biophysics tools in ways that are scientifically correct, reliable, and useful for drug discover…
Skills: Computational biophysics, Molecular dynamics, MM/GBSA, Free-energy perturbation, RBFE
Cambridge, Massachusetts, United States · On-site
$137k–$218k/yr
Your Impact at LILA Lila Sciences is seeking a Senior II/Staff Mechatronics Engineer to join our Advanced Engineering Team to design, develop, and optimize early-stage electromechanical systems, robotics subassemblies an…
Skills: Mechatronics, C++, Python, Microcontrollers, SolidWorks
Cambridge, Massachusetts, United States · On-site
$176k–$304k/yr
Your Impact at LILA Your role will involve applying computational condensed matter physics and electronic structure expertise to accelerate materials discovery, optimization, and understanding. You will use first-princip…
Skills: Computational condensed matter physics, Electronic structure theory, Atomistic simulation, Python, Scientific machine learning
Cambridge, Massachusetts, United States · On-site
$144k–$240k/yr
Your Impact at LILA You will steward Verification & Validation and software quality for our autonomous labs, where software meets real robotics hardware. On the Independent Verification & Validation team, you'll build th…
Skills: Python, Pytest, Playwright, CI/CD, GitHub Actions
Cambridge, Massachusetts, United States · On-site
$119k–$187k/yr
Your Impact at LILA Lila Sciences is seeking a Computational Scientist I/II, Soft Matter Formulations , Solids and Melts to develop models, tools, and workflows that accelerate discovery across polymeric and soft materia…
Skills: Machine Learning, Python, Polymer Science, Soft Matter Physics, Rheology
Cambridge, Massachusetts, United States · On-site
$119k–$187k/yr
Your Impact at LILA Lila Sciences is seeking a Computational Scientist I/II, Soft Matter Formulations - Complex Fluids to develop models, tools, and workflows that accelerate discovery across liquid and flowable soft mat…
Skills: Machine Learning, Python, Soft Matter Physics, Complex Fluids, Rheology
San Francisco, California, United States · On-site
$204k–$310k/yr
Your Impact at LILA Lila’s foundational models are the engine behind scientific superintelligence. We are looking for a Research Product Manager to set the vision for what Lila’s foundational models can achieve next - de…
Skills: Product Management, AI/ML Systems, Foundational Models, Roadmap Development, Model Evaluation
Cambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila is seeking a seasoned Engineer II / Senior Engineer, Control Systems Design to lead the design and development of control systems for automated scientific equipment. This role involves architecti…
Skills: PLC, SCADA, Robotics Integration, HMI, Industrial Networking
Cambridge, Massachusetts, United States · On-site
$168k–$272k/yr
Your Impact at LILA Lila Sciences is hiring a Director/ Senior Director, Product, Materials Chemistry: a strategic, cross-functional product leader who shapes the vision, roadmap, and execution for platforms that acceler…
Skills: Product Strategy, Synthetic Organic Chemistry, Polymer Chemistry, Product Roadmap Development, Materials R&D
San Francisco, California, United States · On-site
Your Impact at LILA We are growing our Applied AI org and seeking talented Senior/Staff Machine Learning Engineers with expertise in LLM training, evaluation, and production-oriented ML systems. You’ll work on improving …
Skills: LLM Training, PyTorch, JAX, TensorFlow, Distributed ML Training
Cambridge, Massachusetts, United States · On-site
$94k–$139k/yr
Your Impact at LILA Lila is seeking a Controls Engineer on our Sustaining Engineering team to support the reliability and lifecycle performance of automated scientific equipment across our lab operations environment. Thi…
Skills: PLC, SCADA, Robotics Integration, OT Networking, Git
Cambridge, Massachusetts, United States · On-site
$148k–$240k/yr
Your Impact at LILA We're building an AI-driven drug discovery factory that closes the loop between computational design and wet-lab experiment in days instead of months. The bottleneck for that loop is data: every compo…
Skills: Python, SQL, Data platform engineering, Database design, Cloud infrastructure
Cambridge, Massachusetts, United States · On-site
$204k–$315k/yr
Your Impact at LILA Lila Sciences is seeking an experienced Chief of Staff to partner with our Founder and CEO, Geoff von Maltzahn, in advancing the company's strategic and scientific priorities. Lila is building the wor…
Skills: Strategic Planning, Technical Leadership, Executive Communication, Board Relations, Investor Relations
Cambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila is looking for a Fall Co-Op (Intern), Software Product Management to support software and workflow improvements across our scientific software platform. This role sits at the intersection of scie…
Skills: Product Management, User Story Writing, Acceptance Criteria, Backlog Grooming, Cross-functional Collaboration
Cambridge, Massachusetts, United States · On-site
$140k–$173k/yr
Your Impact at LILA Lila is hiring a Technical Program Manager to serve as the operational backbone for AISF program execution. The role enables program delivery through governance infrastructure, cross-team alignment, r…
Skills: Technical Program Management, Stakeholder Management, Cross-functional Coordination, Risk Management, Governance Frameworks
Cambridge, Massachusetts, United States · On-site
Your Impact at LILA Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literat…
Skills: Python, Machine Learning, Natural Language Processing, Computer Vision, Data Extraction
San Francisco, California, United States · On-site
$288k–$420k/yr
Your Impact at LILA Own the technical direction for agentic AI systems applied to materials science at Lila. You will set and execute the roadmap for autonomous agents that plan, run, and interpret materials experiments,…
Skills: Agentic AI, Machine Learning, Materials Science, LLMs, Python
Cambridge, Massachusetts, United States · On-site
$192k–$256k/yr
Your Impact at LILA Join us in shaping the future of science! We are seeking Staff Software Engineers with backend experience to join our Lab Software Team (LaS), where you’ll collaborate with software engineers, lab sci…
Skills: Backend development, Python, React, TypeScript, FastAPI
Cambridge, Massachusetts, United States · On-site
$180k–$256k/yr
Your Impact at LILA We are a cross-functional team (Software and Robotics) developing orchestration algorithms (instrument scheduling and robot routing) and lab simulation capabilities. We are building the muscles of the…
Skills: Operations research, Backend development, Data pipelines, API design, Kubernetes
London, England, United Kingdom • On-site
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You will build machine learning models and data acquisition strategies to optimize drug discovery in low-data regimes. The role involves developing closed-loop systems that integrate experimental, computational, and structural data to guide scientific decision-making.
A PhD or equivalent experience in machine learning, computational chemistry, or a related field is required. Candidates must have strong experience in data-efficient learning methods and the ability to collaborate across multidisciplinary scientific teams.
Lila Sciences is seeking a Machine Learning Scientist, Data-Efficient Learning for Drug Discovery to build models and learning strategies for settings where data is scarce, expensive, and intentionally generated. This role is focused on training useful models from low-quantity but high-quality datasets ranging from as few as tens to low thousands of examples, often in tightly focused areas of chemical space, and deciding what data should be acquired next.
This is an applied scientific ML role in a frontier research area. The work is not a matter of applying standard models out of the box. You will use and develop approaches across active learning, meta-learning, fine-tuning, uncertainty estimation, experimental design, and multimodal modeling to help Lila build closed-loop systems that learn efficiently from targeted data acquisition.
This role connects model training with scientific decision-making: data acquisition plans should be useful to computational chemists evaluating compound priorities, computational biophysicists deciding when simulation is warranted, and cofolding modelers deciding which protein-ligand data would improve structure-aware models.
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
Building Scientific Superintelligence
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are building the foundation to apply AI to every aspect of the scientific method, enabling scientists to bring forth solutions in human health and sustainability at a pace and scale never experienced before.
Based on 358 listings with disclosed salaries, most software jobs in Cambridge, MA pay between $100k–$251k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 433 open software positions in Cambridge, MA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Akamai Technologies, Lila Sciences, Google, MORSE Corp, Draper, among others. Browse the listings above to see every active employer.
Yes — 210 of the 433 open software positions offer remote or hybrid work (68 remote, 142 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
