Sr. Robotics AI Engineer

Our team leverages state-of-the-art AI to better understand and communicate with users via semantic and contextual intent understanding. We are looking for a Robotics AI Engineer to bring frontier reasoning and multimodal models to life in real-time interactive experiences.

In this role you will translate natural user intents into robust adaptive behaviors. You will work across the full stack of applied AI/ML: prompting and evaluating frontier models distilling them into efficient on-device models and deploying them on Apple silicon. A successful candidate is energized by rapidly experimenting with the latest AI models tools and agent harnesses and has a strong foundation in modern machine learning with hands-on experience training and fine-tuning their own models. Above all this is a deeply product-driven team that values engineers who have shipped real products and are motivated by putting great experiences into users hands.

Use frontier reasoning models to map user intent into robust closed-loop plans that clarify adapt and replan as the encompassing context changesnBuild agent harnesses that ground model reasoning in the users context and a structured set of system capabilitiesnLeverage multimodal models to understand user intent across audio text u0026 visionnEvaluate models by translating product requirements into the right set of metrics and use them to systematically identify failures and drive improvementsnFine-tune and distill frontier models into smaller efficient models for on-device usenDeploy and optimize models on Apple silicon for real-time efficient and interactive performancenRapidly prototype and assess the latest AI models tools and agent harnesses to advance product capabilities

BS or MS in Computer Science or Machine LearningnStrong background in and deep understanding of modern machine learning methodsnExperience training or fine-tuning your own transformer and/or diffusion modelsnProficiency using coding agents such as Claude Code and CodexnGenuine excitement for experimenting with the latest AI models tools and multimodal capabilities

PhD in Computer Science Machine Learning or a related fieldnExperience with model fine-tuning and distillation for efficient on-device deploymentnHands-on experience with inference engines such as vLLM MLX or Core MLnExperience building agent harnesses for multi-step closed-loop reasoningnTrack record of shipping products to usersnProficiency in Python and ML frameworks (PyTorch or TensorFlow)