Machine Learning Engineer

We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and embodied intelligence. In this role, you will work on end-to-end machine learning systems, spanning data collection, model training, evaluation, and deployment. You will collaborate closely with researchers, engineers, and product teams to turn complex real-world data into robust, production-ready ML solutions.

What You Will Do

Design, build, and own end-to-end machine learning systems, from data exploration and model development to evaluation and deployment on large-scale, real-world data. Apply state-of-the-art ML techniques to new problem domains and optimize models and pipelines for performance, efficiency, and reliability in production environments.

Why It Might Be a Fit

This role is well-suited for engineers who enjoy working across the ML stack, are comfortable operating in ambiguous problem spaces, and are excited about applying modern deep learning methods to real-world perception, human-centric, and embodied AI problems.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• 3+ years of experience building and shipping machine learning systems.
• Strong proficiency in Python and experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow).
• Solid understanding of modern deep learning concepts, training workflows, model evaluation, and experience working with real-world, production-oriented ML pipelines.

Benefits

• Competitive salary
• Options package
• Clear path for career growth in technical leadership