Sr. Robotics AI Engineer

Summary

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.

Description

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.

Responsibilities

• Use frontier reasoning models to map user intent into robust, closed-loop plans that clarify, adapt and replan as the encompassing context changes
• Build agent harnesses that ground model reasoning in the user's context and a structured set of system capabilities
• Leverage multimodal models to understand user intent across audio, text & vision
• Evaluate models by translating product requirements into the right set of metrics, and use them to systematically identify failures and drive improvements
• Fine-tune and distill frontier models into smaller, efficient models for on-device use
• Deploy and optimize models on Apple silicon for real-time, efficient and interactive performance
• Rapidly prototype and assess the latest AI models, tools, and agent harnesses to advance product capabilities

Minimum Qualifications

• BS or MS in Computer Science or Machine Learning
• Strong background in and deep understanding of modern machine learning methods
• Experience training or fine-tuning your own transformer and/or diffusion models
• Proficiency using coding agents such as Claude Code and Codex
• Genuine excitement for experimenting with the latest AI models, tools, and multimodal capabilities

Preferred Qualifications

• PhD in Computer Science, Machine Learning, or a related field
• Experience with model fine-tuning and distillation for efficient, on-device deployment
• Hands-on experience with inference engines such as llama.cpp, vLLM, MLX, or Core ML
• Experience building agent harnesses for multi-step, closed-loop reasoning
• Track record of shipping products to users
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow)