Staff AI Engineer

What you'll do

• Build and deploy applied AI/ML solutions for simulation workflows and internal engineering tools.
• Prototype and ship robust, maintainable production systems for mission-critical use cases.
• Fine-tune, adapt, and optimize state-of-the-art multimodal GenAI and 3D reconstruction models.
• Develop high-performance inference pipelines for production environments.
• Integrate AI models into simulation pipelines, robotics systems, or perception stacks.
• Implement vector search, RAG systems, and embedding pipelines.
• Lead multi-quarter technical initiatives and define system architecture.

What we're looking for

• Master’s degree in CS, Robotics, EE, or related fields is required; PhD is preferred.
• 8+ years of applied ML/AI engineering experience is required.
• 3+ years of experience delivering production AI systems at scale is required.
• Deep knowledge of at least one modern multimodal or 3D computer vision pipeline is required.
• Hands-on experience building AI agents and deploying machine learning models in production is required.
• Strong programming skills in Python and experience with libraries like PyTorch, TensorFlow, or HuggingFace are required.
• Proven experience fine-tuning and optimizing foundation models (LLMs, VLMs, diffusion, 3D neural models) is preferred.
• Experience integrating models into simulation pipelines, robotics systems, or AV perception stacks is preferred.