Machine Learning Engineer - Early Stage Equity

Do you have a passion for high-performance AI systems and open-source models?

This company is committed to building transparent AI systems, and is on a mission to democratize AI by lowering the costs of software, hardware, and cutting-edge models. Here, you'll work with state-of-the-art technology and enable groundbreaking research to be deployed at scale by building and optimizing inference systems.

In this role, you'll collaborate with researchers to understand the latest techniques and the limits of current systems, using this knowledge to continue pushing the boundaries of AI performance. You'll join a world-class team to bring new features and capabilities to the open-source AI community.

We are particularly interested in candidates with a background in developing Machine Learning Systems, especially inference and operating system-level projects. Strong programming skills in Python, particularly with PyTorch, are required.

Experience in productionizing language model infrastructure and developing in CUDA or Triton would give you a significant advantage. As this is a start-up environment, you’ll need to wear multiple hats at times. Thus, experience with Rust, C++, or working with compilers would also be highly valued.

You'll be joining a VC-backed company with plenty of ideas to revolutionize the space. We’re open to a range of experience levels. Whether you have years of production-level ML engineering experience or hold a PhD with a year in industry, we’re eager to speak with you.

Starting salary ranges from $160,000 to $230,000, plus equity in an early-stage company.

Ready to innovate? Get in touch.

No up-to-date resume required.