Scientist, Machine Learning

Responsibilities

• Develop and iterate on ML models for complex measurement data, from representation design through validation
• Design objectives and architectures that respect known constraints, symmetries, or latent structure in the data
• Explore and compare modeling strategies, balancing strong baselines with experimental approaches
• Investigate model behavior and failure modes to improve robustness and interpretability
• Collaborate with experimental and technical teammates to align modeling with data generation
• Contribute to the long-term ML strategy and technical direction of a new venture

Requirements

• Strong hands-on experience building and training modern ML models
• Fluency in Python and proficiency in at least one major ML framework (e.g., PyTorch)
• Experience working with real-world or experimentally generated data
• Ability to design, run, and interpret ML experiments
• Comfort working in practical development environments, including cloud infrastructure and reproducible workflows

Preferred Qualifications

• Experience with inverse problems, latent-variable inference, or structured generative modeling
• Familiarity with geometric or symmetry-aware architectures
• Experience incorporating physical or structural constraints into learning systems
• Experience working with time-series or high-dimensional signal data
• Exposure to biology, chemistry, physics, or related sciences

About the Company

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies addressing humanity’s most urgent challenges.