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Software Engineer I​/II, Machine Learning

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 129600 - 190000 USD Yearly USD 129600.00 190000.00 YEAR
Job Description & How to Apply Below

Job Summary

We are seeking a talented and motivated ML Software Engineer (I/II) to join the software platform group at Iambic Therapeutics. You will build, deploy, and operate ML systems that power our drug discovery efforts. You will work with our multi-disciplinary team to make production ML lifecycle workflows (training/fine tuning, evaluation, inference), streamline deployment of GPU-accelerated applications, and collaborate with ML scientists to translate models into reliable, scalable software.

This position will be hybrid and located in our Boston, MA office.

Key Responsibilities
  • Design, implement, and maintain production-grade ML workflows (fine-tuning, batch/online inference, evaluation) with strong observability and CI/CD.
  • Deploy GPU-accelerated ML services and jobs using modern tooling and cloud-based orchestration.
  • Collaborate with ML scientists and cross-functional teams to capture requirements, scope milestones, and deliver features into user workflows and services.
  • Conduct code reviews and mentor peers on software engineering and MLOps best practices.
Qualifications
  • Engineer I:
    Minimum of 5 years of related experience with a Bachelor’s degree in a scientific field; or 3 years and a Master’s degree; or equivalent work experience.
  • Engineer II: 8+ years relevant experience with a bachelor’s degree in a scientific field; or PhD with 3+ years; or equivalent experience.
  • Strong modern Python development (packaging, type hints, testing, performance), with experience in building production services and libraries.
  • Hands-on with ML model lifecycle and tooling (e.g. PyTorch, Hugging Face, vLLM/Triton/ONNX Runtime); data tooling (e.g. Pandas, Arrow, S3, Parquet); and workflow orchestration (e.g. Prefect, Airflow, Luigi).
  • Cloud deployment experience (AWS preferred), including containerization, IaC patterns, and GPU workload considerations.
  • Experience in scientific domains or drug discovery is a plus; ability to collaborate with scientists and communicate across disciplines is essential.
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.

Compensation

$129.6K – $190K - Multiple Ranges

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