4 hours ago
San Diego, CA, USAMid Level
Base Salary
$180k - $300k/yr
Responsibilities
- Pre-train and post-train vision-language-action policies using behavior cloning and reinforcement learning.
- Own the full model development loop from data collection and curation through deployment.
- Define high-quality data requirements, identify failure modes, and ensure dataset diversity and coverage.
- Coordinate with external partners to maintain a reliable supply of pretraining-scale data.
- Run pre-training, mid-training, and post-training on the VLA stack while exploring new modalities and architectures.
- Build continuous pipelines for synthetic data and teleoperation logs, including versioning, weak-supervision labeling, balanced dataset curation, and automated failure-case discovery.
- Partner with MLOps and Data Platform teams to scale distributed training and optimize models for real-time edge inference.
Requirements
- At least 3 years of experience building deep-learning systems in industry or research, with shipped models or published artifacts.
- Hands-on experience with at least one of LLMs, VLMs, or image/video generative models, including architecture, training, and inference.
- Experience with streaming datasets, checkpointing, state management, and distributed training strategies.
- Strong Python and PyTorch or JAX skills, including profiling, numerical debugging, and maintainable research-code development.
- Familiarity with modern software engineering practices and the ability to document experiments and communicate trade-offs clearly.
- Robotics or autonomous-driving experience is preferred.
- Experience applying reinforcement learning to LLMs or robotics is preferred.
- Experience with VLA models, deep-net productization, latency and throughput constraints, telemetry, or on-device optimization is preferred.
- Publications at top-tier deep-learning conferences or equivalent open-source contributions are preferred.
- Familiarity with OpenVLA, Physical Intelligence models, or similar open-source VLA frameworks is preferred.
Benefits
- Comprehensive health coverage for US-based employees, including fully paid medical, dental, and vision insurance, virtual care, and employee assistance resources.
- 23 accrued PTO days, separate sick leave, and paid company holidays.
- 401(k) retirement plan with employer match.
- Equity participation.
- Free daily catered lunch, snacks, and drinks in the office.
- Opportunity to collaborate with engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
- California role with an expected base salary range of $180,000–$300,000 USD per year.
Categories
ML EngineeringRobotics
About Humanoid
Humanoid develops general-purpose humanoid robots for industrial environments to automate hazardous or monotonous tasks in manufacturing, logistics, and construction. Its HMND‑01 Alpha platform is running in real industrial pilots, pointing toward a hardware-and-software product paired with deployment services. Founded in 2024 and headquartered in London, the privately held company is scaling toward wider commercialization from these pilots.