Machine Learning Engineer

What you'll do

• Build models that reason over images, geometry, and interaction logs; translate practitioner expertise into structured criteria and labels.
• Manage the learning loop, including data generation, trajectory capture, failure analysis, dataset curation, and continuous evaluation.
• Deploy models in production pipelines supporting live decisions.

What they ask for

• Experience building and training models from the ground up, beyond applications built on third-party models.
• Track record shipping machine learning on multimodal data in a single pipeline.
• BS or MS in computer science, machine learning, or a related quantitative field; strong theoretical and practical command of neural network methods and current large-model approaches.
• Comfort working with Python and PyTorch; ability to turn expert judgment into well-defined machine learning problems.

Nice to have

• Machine learning experience in CAD, generative design, chip, EDA, or hardware companies.
• Familiarity with reinforcement learning from human feedback, reward modeling, or policy optimization.

Pay

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

Tools

Python, PyTorch

AI focus

Develops multimodal models that evaluate technical work, learn from expert judgment, and support live production decisions.