Software Engineer, Machine Learning Infrastructure

📋 Description

• Build infra to move GenAI ideas from prototype to production
• Work on open-weights serving: real-time GPU endpoints and batch inference
• Design scalable systems for model serving, batch inference, GPU autoscaling
• Improve cost and latency of GPU inference for product teams
• Create platforms for rapid experimentation with latency, scale, observability
• Partner with ML engineers, data scientists and platform teams
• Shape the GenAI platform roadmap including RLHF and agent techniques

🎯 Requirements

• BSc, MSc, or PhD in Computer Science or equivalent
• 3+ years of software engineering experience
• Strong backend fundamentals in Python and distributed systems
• Experience building production services, APIs, or ML infra at scale
• Experience operating production systems, observability, reliability, and incident response
• Hands-on LLM inference or fine-tuning of open-weight models in production
• Translate customer use cases into reusable platform capabilities
• Proficiency with AI coding tools in the full software lifecycle

🎁 Benefits

• Commitment to diversity, equity and inclusion
• Equality of opportunity for all backgrounds
• Disability support and recruitment adjustments available