Software Engineer II, Machine Learning Systems & Productization
Iambic Therapeutics - Boston Office, Boston, MA, US
Posted Apr 22, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- Weekend work
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Application
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About this role
Software Engineer II, Machine Learning Systems & Productization Boston Office, Boston, MA, US JOB SUMMARY Iambic Therapeutics is seeking a Software Engineer to join the NeuralPLexer team, focusing on the engineering systems that enable machine learning research to translate into robust, scalable workflows for drug discovery. This role sits directly alongside ML scientists and emphasizes co-development: helping design, implement, and harden the workflows used to train, evaluate, and apply models on structural (e.g., protein-ligand complexes), affinity, and synthetic data. You will play a key role in turning research code into reliable, reusable systems-without being responsible for core model development. This is a remote position based on the US East Coast. KEY RESPONSIBILITIES - 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 QUALIFICATIONS Required - 8+ years of software engineering experience (or equivalent), ideally
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