Software Engineer II, Machine Learning Systems & Productization

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 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 PREFERRED 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 PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401k matching, and uncapped vacation to our team. We are in a brand‑new state‑of‑the‑art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play. #J-18808-Ljbffr