Senior AI Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Develop, train, and assess multimodal foundation models that facilitate multi-robot mission execution.

• Influence model development choices concerning architectures, data mixtures, curriculum design, and training methodologies.

• Curate and produce extensive training datasets from both synthetic and real-world data sources.

• Enhance memory, communication, planning, and tool-utilization capabilities for AI agents operating in robot teams.

• Establish benchmarks, metrics, and testing protocols to enable rapid iteration.

• Create and refine simulation environments for synthetic data generation, evaluation, and reinforcement learning.

• Convert foundational research into actionable, real-time perception and decision-making systems.

• Collaborate with engineering, robotics, and mission teams to integrate AI with onboard autonomy systems.

• Perform field trials and mission operations to validate system performance under real-world conditions.

⛳️ Requirements

• Over 6 years of practical experience in building and deploying AI models, including at least 2 years with multimodal models or agentic AI systems.

• Expertise in Python, PyTorch, and contemporary machine learning infrastructure.

• Experience in training, fine-tuning, and evaluating large-scale deep learning models utilizing distributed computing resources.

• Proven track record of enhancing model performance through data curation, training strategies, evaluation design, and thorough experimentation.

• Strong understanding of modern model training methodologies, including SFT, DPO, and RLVR.

• Demonstrated capability to transition research from prototype to product in dynamic environments.

• Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.

• Must be a U.S. Person due to the necessary access to U.S. export-controlled information or facilities.

• A strong commitment to the defense of the United States and its allies.

• May be required to obtain and maintain a U.S. Top Secret security clearance.

• Preferred: Experience in developing closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems.

🏝️ Benefits

• Meaningful equity.

• Comprehensive medical, dental, and vision plans with no paycheck contribution.

• Competitive paid time off (PTO) and company holiday schedule.

• Daily catered lunch and a fully stocked kitchen.

• Electric vehicle (EV) charging available.

• Relocation assistance provided (depending on role eligibility).