This job is closed

We regret to inform you that the job you were interested in has been closed. Although this specific position is no longer available, we encourage you to continue exploring other opportunities on our job board.

Together AI - San Francisco, CA

posted 4 days ago

Full-time - Mid Level
San Francisco, CA

About the position

As an ML Engineer within the Fine-Tuning API team at Together AI, you will develop a platform that allows our users to customize open-source models with their data. You will collaborate with our product and research teams, developing features that will enable new use cases for the Fine-Tuning API. You will also work with the engineering team to ensure that our API is reliable and well-integrated into the company's technical infrastructure. You will have an opportunity to build the foundational layer of the open-source AI ecosystem, letting developers all over the world efficiently create high-quality models tailored to their application scenarios.

Responsibilities

  • Build and improve Together's systems and infrastructure for customizing open-source models
  • Create tooling and documentation to set our users up for success with the Fine-Tuning API
  • Make sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platform
  • Analyze and increase the efficiency of fine-tuning methods, both from research and engineering perspectives
  • Develop new features and capabilities for the API based on latest research in AI

Requirements

  • Have 2+ years of experience building and deploying machine learning-based services in a production environment
  • Have working knowledge of latest methods for fine-tuning LLMs or other AI models
  • Have a strong software engineering background in Python or Go
  • Are passionate about making reliable and convenient tools for software developers
  • Follow latest advances and trends in the Machine Learning community

Nice-to-haves

  • Developing large-scale and high-load production systems
  • Implementation and design of advanced methods for efficient fine-tuning
  • Maintaining or contributing to open-source ML projects
  • Managing machine learning workloads on Kubernetes clusters

Benefits

  • Competitive compensation
  • Startup equity
  • Health insurance
  • Other competitive benefits
Job Description Matching

Match and compare your resume to any job description

Start Matching
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service