ML Infrastructure Engineer

📋 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