Senior Machine Learning Engineer

📋 Description

• Own the cloud-side path from model artifact to production system for Safety AI's ML applications.
• Establish practical standards for productionizing models — how they're served, evaluated
• Set a high bar for reliability: rigorous evaluation, measurable rollout health, and systems that
• Act as a technical partner to applied scientists, helping translate research outputs into systems

🎯 Requirements

• 6+ years of experience as a Machine Learning Engineer or similar role, with a track record of
• Strong proficiency in one or more common languages (e.g., C++, Golang, Java, Python, Scala).
• Proficiency with common ML tools (e.g. Ray/Ray Serve, MLflow, Grafana, Pytorch, Spark, etc).
• Experience deploying and iteratively refining models using real customer feedback loops.
• Comfort with full-stack/backend development — you understand the data structures and dependencies
• BS or MS in Computer Science or a related quantitative field.

🎁 Benefits

• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans
• Initial RSU grant with no vesting cliff and ongoing refresh opportunities tied to performance
• Above-market total compensation through base salary, performance-based bonus/variable pay, and