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12 checksActively hiring
In its favour3
- Still on the company's own careers site, checked 4 h agoModerate evidence
- States its salarySlight evidence
- A hiring contact is attached to itSlight evidence
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Applied AI Engineer
- Office
Salary
$150,000 - 200,000/ year
AI summary
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Sign Up to ReadDescription
The company Robotics builds affordable humanoids whose intelligence scales with our fleet. We are looking for an engineer who can connect reliable LLM agents with working robot behavior.
Scope: Build agents that turn task descriptions into robot policies, improve them through simulation and execution feedback, and deploy them as a customer-facing service.
What you will work on
Design model-facing tools and APIs, multi-step agent loops, and reusable skill libraries.
Generate and test robot policies in simulation, using execution feedback, context management, and retry budgets to recover from failures.
Build reproducible evaluations, held-out tasks, and regression tests that verify success independently of model self-reports.
Serve concurrent agents, safely isolate generated code, and deploy tested policies to physical robots while tracking latency, reliability, and compute cost.
Requirements
- Strong Python and experience building LLM agents that run unattended over multiple steps.
- Demonstrated experience deploying and debugging manipulation, imitation-learning, or control policies on physical robots, with measurable results.
- Strong robotics fundamentals: kinematics, coordinate frames, feedback control, calibration, and actuator limits. Ability to diagnose failures across policies, sensors, and hardware using ROS 2 or equivalent.
- Experience with Isaac Sim/Lab, MuJoCo, SAPIEN, or equivalent, including contact dynamics and sim-to-real discrepancies.
- Experience operating GPU-backed services with queues, retries, cancellation, and cost controls; familiarity with sandboxing, network restrictions, and resource limits for generated code.
- Nice to have Research in agents, program synthesis, or robot learning; PyTorch and LeRobot; multi-agent orchestration; on-device inference and power profiling; fleet deployment and OTA updates.
- San Francisco, CA. Full time. In person.
- Compensation. Base pay: $150,000-$200,000 per year, depending on job-related knowledge, skills, and experience.
- Experience: Any (new grads ok)
- Visa: Will sponsor
Where you’d work
From the office
The office
- San Francisco, United StatesMap for San Francisco, United States (opens in a new tab)
Visa sponsored
About the company
Company hidden
Office in San Francisco, United States
Fair
Your chances
Still hiring, moderately crowded, and a person reads your message.
- 19 checks run
- 5 good signs
- 2 red flags
How crowded?
7 checksModerate
In its favour2
- You can message the hiring contact and skip the queueModerate evidence
- In the office in San Francisco: only people nearby can take itSlight evidence
Against it2
- Open for 2 weeks: applications have had time to pile upModerate evidence
- Sponsors visas: applicants from abroad compete for it tooSlight evidence
Fits Me
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- Must-haves
Details10 facts · Role, Location, Compensation, Employment- Tech stack
- Python
- PyTorch
- LLMs
- Type
- Full-time
- Specialty
- ML
- Region
- United States
- Pay period
- Annual
Show 5 more factsShow less
- Python
- PyTorch
- LLMs
Role
- Category
- Data & Analytics
- Specialty
- ML
- Tech stack
- Python
- PyTorch
- LLMs
Location
- Work model
- Office
- Region
- United States
- Office
- San Francisco, United States
- Visa sponsorship
- Sponsored
Compensation
- Salary
- $150,000 - 200,000 / year
- Pay period
- Annual
Employment
- Type
- Full-time
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