Demo

Software Engineer I/II, Machine Learning

Sequoia Capital Global Equities
Boston, MA Full Time
POSTED ON 5/5/2026
AVAILABLE BEFORE 6/3/2026
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/finetuning, 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.

About Iambic Therapeutics

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

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 Range: $129.6K - $190K

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 Range: $129.6K - $190K

Salary : $129,600 - $190,000

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