Artificial Intelligence Engineer

2 days ago

San Francisco, California, United States Baseten Full time

Baseten is a fast-growing team of builders backed by top-tier investors, including IVP, Spark Capital, Greylock, and Sarah Guo at Conviction. We're working with ML teams at enterprises and category-defining AI-native companies to power their core production workloads with best-in-class performance, security, and reliability. Our team has unlocked PMF and secured Series B funding, but the ML infrastructure market is massive, and we're just getting started.

Job Summary

We're looking for a highly skilled Backend Engineer focused on Machine Learning (ML) performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of artificial intelligence. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we encourage you to apply.

Responsibilities:

  • Implement, refine, and productionize cutting-edge techniques for ML model inference and infrastructure.
  • Deep dive into underlying codebases of TensorRT, PyTorch, Transformers, CUDA, and other libraries to debug ML performance issues.
  • Apply and scale optimization techniques across a wide range of ML models, particularly large language models.
  • Collaborate with a diverse team to design and implement innovative solutions.
  • Own projects from idea to production, including writing project specs and managing end-to-end feature implementation.

Requirements:

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
  • 3+ years of work professional experience in a fast-paced, high-growth environment.
  • Experience with one or more general-purpose programming languages, such as Python, C++, or Go.
  • Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
  • Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
  • Demonstrated interest and experience in machine learning and large language models.
  • Deep understanding of GPU architecture.
  • Experience with Docker and Kubernetes.
  • Experience and interest in growing and leading a team is highly valued.

Salary Range:$150,000 - $200,000 per year.

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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