Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Iambic Therapeutics

Software Engineer I/II, Machine Learning

Iambic Therapeutics

ML Software Engineer (I/II) developing and operating ML systems for drug discovery at Iambic Therapeutics. Collaborating in a hybrid role with a multidisciplinary team in Boston, MA.

Posted 6/8/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $129,600 - $190,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSCloudPandasPythonPyTorch

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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; PhD with 0-3 years of experience 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.

Benefits

Comp & perks
  • company paid healthcare
  • flexible spending accounts
  • voluntary life insurance
  • 401K matching
  • uncapped vacation

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learning workflowsPython developmentMLOps best practicesproduction servicesmodel lifecycledata toolingcloud deploymentcontainerizationinfrastructure as codeGPU workload considerations
Soft Skills
collaborationcommunicationmentoringcode reviews