Senior Machine Learning Engineer

4 weeks ago


San Francisco, California, United States Baseten Full time

About Baseten

We're a rapidly growing team of innovators backed by top-tier investors, including IVP, Spark Capital, Greylock, and Sarah Guo at Conviction.

Our cutting-edge ML infrastructure is used by ML teams at enterprises and category-defining AI-native companies like Descript, Patreon, Writer, and Robust Intelligence to power their core production workloads with best-in-class performance, security, and reliability.

As a leader in the ML infrastructure market, we're just getting started, and we're looking for talented individuals to join our team.

The Role

As a Senior Machine Learning Engineer at Baseten, you will partner with our customers to understand their complex problems and engineer scalable ML solutions using our open-source Truss system.

This role provides a unique opportunity to work on engaging and relevant problems while building something new from the ground up.

Responsibilities:

  • Develop and maintain software systems using one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
  • Collaborate with cross-functional teams to understand and implement AI/ML pipelines, including the lifecycle of ML model development and deployment.
  • Communicate effectively on complex technical topics, ensuring clarity and understanding across different stakeholders.
  • Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack.
  • Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.
  • Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
  • Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.

Requirements:

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
  • 3+ years of work professional work experience in a fast-paced, high-growth environment.
  • Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
  • Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
  • Strong communication skills, particularly on complex technical topics.
  • Experience in building or optimizing AI/ML projects is highly valued.

Benefits:

  • Competitive compensation package (Unlimited PTO, 401k, covered healthcare premiums).
  • A unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.
  • An inclusive and supportive work culture that fosters learning and growth.
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.


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