Senior Software Engineer, Machine Learning Platform

📋 Description

• Design, build, and operate scalable ML and AI infrastructure on AWS
• Design and operate shared platform capabilities for LLM and agentic workloads, including model
• Build evaluation frameworks for non-deterministic AI systems, including offline benchmarks
• Establish observability, reliability, and governance for models and agents, covering traces, model
• Help teams make principled architecture decisions across traditional ML, LLM-powered applications
• Build distributed training, batch inference, and large-scale processing systems using frameworks

🎯 Requirements

• Knowledge of the machine learning development lifecycle, including data preprocessing, model
• Experience designing distributed systems and large-scale data or compute platforms on AWS using
• 5+ years of experience in ML or AI infrastructure, platform engineering, distributed systems, or
• Working knowledge of LLM application patterns such as retrieval-augmented generation, structured
• Experience designing production systems that integrate ML or foundation models through reliable
• Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code

🎁 Benefits

• In-office work policy: four days a week in the office and Fridays from home
• Comprehensive health, financial, and wellbeing benefits
• Generous vacation policy and company-wide paid days off
• 1% of your time off to support local community organizations
• Annual wellness stipend
• Up to 22 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents