Transfyr · 1 week ago
AI/ML Engineer (Member of the Technical Staff)
Cambridge, MA
Full-time
Onsite
Entry, Mid, Senior LevelTransfyr is building physical AI for science, aiming to capture and interpret real-world scientific work. The AI/ML Engineer will develop systems that learn from messy, real-world data in laboratory environments, focusing on creating reliable models that integrate with scientific workflows.
Biotechnology
Responsibilities
Build ML systems that learn from real-world scientific execution data where feedback is delayed, labels are incomplete, and outcomes are confounded by how work was actually done
Collaborate with perception engineers to design multimodal learning pipelines that combine vision, audio, sensor data, metadata, and outcomes into coherent representations of scientific workflows
Develop models that can reason about why an experiment succeeded or failed when intent, execution, environment, and outcome are tightly entangled
Build systems that surface model confidence / uncertainty, enabling scientists to understand when to trust a recommendation and when to intervene
Integrate models into real workflows where outputs influence both human decisions and robotic actions, and model behavior must remain robust as protocols, operators, and environments change
Ensure models learn transferable structure rather than lab- or site-specific artifacts, enabling insights to carry across experiments, teams, and geographies
Enable future physical AI systems by ensuring models learn from execution-level data, not just outcomes, building foundations for automation that can work in the real world
Qualification
Required
Strong programming expertise with experience in software engineering, data systems, and AI/ML product development
Strong grounding in machine learning, with experience building models that learn from noisy, real-world data rather than clean, static datasets
Experience working with or reasoning about multimodal systems (e.g., vision, audio, sensor data, metadata, text), and an intuition for how different signals complement or confound each other
Fluency in Python and modern ML frameworks (e.g., PyTorch), with experience training, evaluating, and iterating on models in real systems
Experience designing data pipelines and training/evaluation infrastructure that evolve over time as new data arrives and assumptions change
Understanding of what it takes to move from prototype to production, including monitoring, iteration, and maintaining models as environments drift
Ability to work across the stack in close collaboration with software and perception engineers, understanding that model performance depends on the surrounding system
Strong fundamentals, curiosity, and the ability to quickly learn new tools, models, or domains as the problem demands
High agency
Biased toward action
Successful in ambiguity
Thoughtful
Clear, direct communicator
Intense
Preferred
A passion for and experience in science
A passion for and experience with AI
Demonstrated experience working in fast-moving/ambiguous environments (like startups!)
Benefits
Low/no-cost health insurance options
HSA
401K with matching
Lunch subsidy
Company
Transfyr
We’re leveraging AI to solve one of the most consequential challenges in the pursuit of technical progress: the distribution of scientific innovations to the real world.
Founded in 2025
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase