Flagship Pioneering · 2 days ago
Machine Learning Software Engineer
Cambridge, MA
Full-time
Onsite
Mid, Senior Level
$96K/yr - $157K/yr
4+ years expMirai Bio, Inc is a Flagship backed biotechnology company focused on transforming information molecule therapeutics. The role involves designing, implementing, and deploying novel machine learning approaches to optimize therapeutic delivery vehicles and collaborating with cross-functional teams to develop computational tools for genomic medicines.
FinanceFinancial ServicesVenture Capital
Responsibilities
Design, build, and deploy production-grade ML models for optimization of lipid nanoparticle (LNP) formulation, synthesis, and in vivo performance
Develop and implement scalable software best practices for uncertainty quantification, ensuring models are reliable for real-time decision-making
Engineer robust data pipelines to integrate multi-fidelity datasets (in silico and in vivo) to accelerate data-driven discovery of novel LNPs
Collaborate with computational scientists to translate research models into maintainable, efficient software that identifies design pathways for LNPs that achieve targeted functional properties
Work with infrastructure and automation teams to architect and streamline real-time data transfer between predictive models and experimental platforms
Partner with experimental teams to drive iterative design–make–test–analyze (DMTA) cycles
Communicate findings to stakeholders and leadership through written reports and technical presentations
Qualification
Required
PhD or Master's in Computer Science, Applied Mathematics, Bioengineering, Chemical Engineering, or a related quantitative field with a strong ML and Software Engineering focus
4+ years of experience developing and deploying ML models in a production environment within industry and/or academic settings
Strong experience with uncertainty quantification, active learning, and Bayesian Optimization in drug delivery, materials science, or related fields
Proficiency in ML frameworks (PyTorch/TensorFlow/JAX) and the Python data science ecosystem
Demonstrated experience with MLOps principles (version control, CI/CD, monitoring) and hands-on experience with cloud computing infrastructure (e.g., AWS, GCP, Azure) to accelerate model training, deployment, and inference
Strong independent problem-solving ability and attention to detail
Demonstrated achievement in industry or academia (publications, patents, or successful ML system deployments)
Excellent communication and presentation skills for both technical and interdisciplinary audiences
Enthusiasm for working with cross-functional teams of experimentalists, engineers, and computational scientists in a fast-paced, entrepreneurial environment
Preferred
Hands-on experience building and managing ML packages
Experience with ML experiment tracking platforms (e.g. MLflow, Weights & Biases)
Familiarity with API development and microservices for integrating ML models into experimental workflows
Background in drug delivery, lipid chemistry, or nanoparticle formulation
Benefits
Healthcare coverage
Annual incentive program
Retirement benefits
Broad range of other benefits
Company
Flagship Pioneering
Flagship Pioneering is a venture capital firm that invests in life sciences and healthcare companies.
501-1000 employees
H1B Sponsorship
Flagship Pioneering has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (4)
2023 (4)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageLeadership Team
Noubar Afeyan
Founder and CEO
Chuck Carelli
Chief Financial Officer
Recent News
koreatechdesk.com
2025-12-27
BioWorld Financial Watch
2025-12-25
Company data provided by crunchbase