Breakout Ventures · 2 months ago
Member of the Technical Staff - AI/ML Scientist
Cambridge, MA
Full-time
Hybrid
Mid, Senior LevelBreakout Ventures is focused on leveraging AI to enhance the transfer of scientific innovations from the lab to real-world applications. They are seeking a Member of the Technical Staff - AI/ML Scientist to design and implement machine learning approaches that improve the reproducibility and scalability of experimental science.
Advanced MaterialsEnergyFinancial ServicesLife ScienceVenture Capital
Responsibilities
Design and implement novel machine learning approaches—especially in pre-training, multimodal learning, and reinforcement learning—to make experimental science more reproducible, interpretable, and transferable at scale
Design and develop AI models that can learn from experimental protocols, lab execution date, and failure modes to suggest, simulate, or guide future experiments
Develop and implement data collection strategies—including computer vision, audio, and sensor-driven interfaces—to capture tacit knowledge embedded in physical lab workflows and human decision-making
Become customer obsessed. Initiate, support, and lead program execution with external partners and collaborators to capture, document, and deliver results
Develop and test internal and external benchmarks, validation strategies, and frameworks for testing reproducibility, robustness, and scientific utility
Work alongside the biology and operations teams to identify automation opportunities, uncover latent structures in messy lab data, capture tacit knowledge, and improve experiment documentation and reproducibility
Translate scientific hypotheses into computational experiments, analyzing model behavior and experimental results to draw actionable insights
Stay on top of the latest research in ML/AI and evaluate its applicability to our platform. We will support opportunities to publish or present where appropriate to establish technical leadership
Qualification
Required
Advanced degree in Computer Science, Machine Learning, or a related field
Deep expertise in generative models, representation learning, multimodal learning, reinforcement learning, and/or causal inference
Fluency in Python, modern ML libraries (e.g., PyTorch), and cloud infrastructure (e.g., AWS, GCP)
Demonstrated ability to design and implement ML models in noisy, complex, real-world settings—ideally involving biological or scientific data
Preferred
Experience in a scientific or research-intensive environment—academic labs, biotech R&D, national labs, or similar
Familiarity with experimental workflows, lab automation, or scientific instrumentation
Startup or early-stage experience preferred; comfort with ambiguity and rapid iteration is a must
Ability to clearly communicate technical concepts to cross-functional teams and collaborate on projects spanning AI, biology, and product
Ideal candidates are located within commuting distance from Cambridge, MA
Benefits
Competitive salary
Equity
Benefits
Company
Breakout Ventures
Breakout Ventures is an early stage fund that backs bold scientist entrepreneurs.
Founded in 2016
2-10 employees
Funding
Current Stage
Early StageTotal Funding
unknown2018-01-01Seed
Leadership Team
Dana Watt
Partner
Julia Moore
Managing Partner
Recent News
2025-04-16
2025-04-16
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