Robot Learning Engineer Intern — Real-World Robotics & AI

Gritt; South San Francisco (CA); In loco; USD 48.000 - 69.000; Part-time

Vantaggi offerti da questo lavoro

Mentorship

Opportunity for return or full-time.

Descrizione del lavoro

Gritt, a robotics and AI company, seeks a Robot Learning Engineer Intern in the SF Bay Area (in-person) for 3 or 6 months. You own a defined deliverable, work with a dedicated mentor, and demo your work to the team. Internships offer competitive salaries and a mission-driven climate impact.

You will train policies for real robot tasks, build data pipelines, deploy on hardware, and test on real robots. Applicants should be pursuing MS/PhD in ML/Robotics/CS or related fields and have strong

Competenze

• Pursuing MS/PhD in ML, Robotics, CS, or related field (exceptional undergraduates welcome).
• Strong PyTorch; solid grounding in deep learning and one of IL/RL.
• Applied evidence: publications, open-source, or substantial course/competition projects.
• Should be comfortable taking ownership of tasks with light supervision.
• Must have excellent problem-solving skills.
• Legally authorized to do an internship in the United States for either 3 months or 6 months.

Mansioni

• Train policies (imitation learning, RL, or fine-tuned foundation models) for real robot tasks.
• Build data collection and evaluation pipelines; run ablations.
• Deploy policies on hardware and iterate against real-world performance.
• Test your work on real robots at the office.

Conoscenze

PyTorch

Deep learning

Imitation Learning

Reinforcement Learning

Ownership mindset

Problem solving

Formazione

MS/PhD in ML, Robotics, CS, or related field

Strumenti

Git

Descrizione del lavoro

Gritt, a robotics and AI company, seeks a Robot Learning Engineer Intern in the SF Bay Area (in-person) for 3 or 6 months. You own a defined deliverable, work with a dedicated mentor, and demo your work to the team. Internships offer competitive salaries and a mission-driven climate impact.

You will train policies for real robot tasks, build data pipelines, deploy on hardware, and test on real robots. Applicants should be pursuing MS/PhD in ML/Robotics/CS or related fields and have strong