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Software Engineer II, Machine Learning Systems – Productization
Iambic TherapeuticsSoftware Engineer II developing systems to streamline ML workflows for drug discovery at Iambic Therapeutics. Collaborating with ML scientists and enhancing research processes.
Tech Stack
Tools & technologiesAWSCloudKubernetesPython
About the role
Key responsibilities & impact- Work embedded with ML scientists to co-develop and refine model training and evaluation workflows
- Translate experimental research code into maintainable, well-structured, and reusable systems
- Build and expand benchmarking systems for running models on structural and affinity datasets, computing metrics, and supporting reproducible evaluation
- Enable rapid iteration by developing tooling and interfaces that expose new capabilities to researchers
- Contribute to the ongoing development and productization of NeuralPLexer
- Collaborate with platform and infrastructure engineers on scaling workflows where needed, without owning core infrastructure
- Perform code reviews and actively mentor best practices in software engineering across the team
- Improve reliability, clarity, and reproducibility of ML workflows and supporting systems
- Communicate technical work effectively across a cross-functional research and engineering team
Requirements
What you’ll need- 8+ years of software engineering experience (or equivalent), ideally in ML-adjacent or data-intensive environments
- Strong Python skills and demonstrated rigor in software engineering practices (testing, versioning, code quality)
- Experience working closely with ML practitioners or in research-driven environments
- Experience building or supporting ML workflows, data pipelines, or evaluation systems
- Ability to operate in partially defined, research-heavy environments and bring structure to evolving codebases
- Strong collaboration skills and comfort with pair programming and iterative development
- Experience with scientific or computational research environments
- Familiarity with structural biology, chemistry, or molecular modeling workflows
- Exposure to cloud-based systems (e.g., AWS, Kubernetes) and/or HPC
- Experience working with large-scale or heterogeneous datasets
Benefits
Comp & perks- company paid healthcare
- flexible spending accounts
- voluntary life insurance
- 401K matching
- uncapped vacation
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonsoftware engineering practicestestingversioningcode qualityML workflowsdata pipelinesevaluation systemsbenchmarking systemsreproducible evaluation
Soft Skills
collaborationpair programmingiterative developmentmentoringcommunication