AI Resident
$10,000 monthly
Apply (opens in a new tab)AI Resident
Posted 13 days ago
SENIORITY
Mid
SALARY
$10,000 monthly
About the role
- Conduct research and build systems for embodied physical intelligence
- Develop and evaluate methods in VLA, World Models, World Action Models, simulation, and RLDesign and run experiments on robotics tasks involving perception, planning, control, and long-horizon behavior
- Build training and evaluation pipelines for large-scale embodied learning systems
- Work closely with research and engineering teams to move ideas from prototype to real or simulated robot platforms
- Explore how multimodal foundation models can improve robot capability in real deployment settings
- Contribute to technical reports, internal research discussions, and, where appropriate, publications
- PhD student, recent graduate, or early-career researcher/engineer in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
- Experience with modern ML frameworks such as PyTorch, JAX, or TensorFlowExperience using AI-assisted coding tools and agentic development workflows to prototype, iterate, and build quickly
- Ability to implement, debug, and evaluate research ideas in a fast-moving environment
- Strong engineering judgment, including the ability to validate, refine, and productionize AI-assisted code
- Rich hands-on experience in robotic manipulation, mobile manipulation, or industrial robotics
- Experience training, fine-tuning, or evaluating multimodal or embodied models
- Experience with World Models, action-conditioned prediction, model-based learning, planning, or control
- Strong hands-on experience with simulation platforms such as Isaac Gym, Isaac Sim, MuJoCo, ManiSkill, Habitat, or similar systems
- Experience with reinforcement learning, imitation learning, or post-training for robotic policies
- Experience working with real robot hardware, data collection systems, evaluation workflows, or deployment pipelines
- Demonstrated technical initiative through research, open-source contributions, or high-impact engineering work
- Compensation and Resources
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
