Senior / Staff Machine Learning Engineer, Applied AI

Highlights

• Shape AI models for real customer scientific workflows.
• Run post-training and eval loops to improve model reliability.
• Build autonomous science OS to accelerate discovery at scale.

What they offer

• Competitive base compensation with bonus potential
• Generous early-stage equity
• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company-wide holidays
• Paid parental leave
• Educational assistance program

Ideal candidate

A hands-on ML engineer who thrives on ambiguous, high-stakes model problems and turning customer feedback into reliable product behavior. Curious about science and motivated by real-world impact.

Requirements

• 1-2 years of hands-on post-training experience (SFT, RL methods such as DPO/PPO/GRPO) and evaluation system design
• Strong software engineering skills in Python and modern ML frameworks like PyTorch
• Demonstrated ability to debug ambiguous, high-stakes model behavior using data, traces, logs and qualitative feedback
• Deep familiarity with large language models, multi-modal models, or agentic AI systems
• Clear communication skills for translating customer needs and explaining complex model behavior