Senior Machine Learning Engineer

What you'll do

• Build reinforcement learning environments and evaluations for computer-aided design tasks, including scoring and reward functions.
• Curate expert task data and build pipelines and ML infrastructure for model training; automate scoring and content creation.
• Partner with domain engineers and post-training teams, and run experiments to guide technical direction and product priorities.

What they ask for

• 3 to 6 years of full-time experience in machine learning or applied AI.
• Prior work in a physical-engineering setting, day-to-day partnership with mechanical or electrical engineers, or a degree in one of those fields.
• Some exposure to engineering design software or vision-based machine learning applied to physical objects.
• Hands-on experience building reinforcement learning environments, or using them for post-training.

Nice to have

• Senior-level machine learning depth, especially in reinforcement learning, data pipelines, evaluations, and LLM-as-judge methods.
• Practical experience with model assessments, scoring systems, data flows, and training infrastructure; initiative, ownership, or scaling-startup experience are also noted as bonuses.

Pay

USD 150,000 to 250,000 per year (base salary)

Tools

reinforcement learning, computer-aided design, LLM-as-judge

AI focus

Builds reinforcement learning environments, evaluation and grading methods, and training data infrastructure for AI models working on technical design tasks.