Job Description
📋 Description Designing, building, and scaling GPU compute infrastructure, training frameworks, and Developing data pipelines and integrating large-scale data, training, and inference systems Collaborating with ML teams to productionize models and ensure seamless integration across the stack Ensuring scalability, reliability, and efficiency of large-scale machine learning systems Working across the full stack to solve complex problems independently Mentoring junior engineers and contributing to the growth of the team 🎯 Requirements Bachelor, Master, Post-graduate or PhD in computer science, machine learning, or other quantitative 2+ years of industry experience working with high traffic or large-scale production environments 2+ years experience with ML platforms, training infrastructure, or close collaboration with Strong proficiency with Python and experience with compiled languages such as C++ or Rust 🎁 Benefits $180,000 - $440,000 USD Equity, comprehensive medical, vision, and dental coverage 401(k) retirement plan Short and long-term disability insurance Life insurance and various other discounts and perks
