RL Engineering Intern: Mentored, Hands-on Robotics

Persona AI; Pensacola (FL); On-site; USD 27,552 - 41,328; Full time

Benefits offered by this job

Competitive compensation

Excellent benefits

Flexible work environment

Equity opportunities

Job summary

A robotics company in Pensacola is seeking a Reinforcement Learning Engineering Intern to join its innovative team. Interns will gain hands-on experience in developing humanoid robots while engaging in meaningful projects. Candidates should be current undergraduate or master's students proficient in programming languages like Python and C/C++. This internship offers a rich learning environment focused on technical excellence and creative problem-solving, along with competitive compensation and benefits.

Qualifications

• Must be a current undergraduate or master's student.
• Proficiency in software such as Python, C/C++, Java, or Rust is essential.
• Understanding of basic machine learning concepts is needed.

Responsibilities

• Develop new simulation training environments.
• Design new behaviors or extend capabilities for the robotics.
• Deploy to hardware, log data, and analyze results.
• Create or implement new algorithms for various applications.
• Characterize hardware sensors, actuators, and general robot parameters.

Skills

Software proficiency in Python

Software proficiency in C/C++

Software proficiency in Java

Software proficiency in Rust

Basic machine learning concepts

Education

Current Undergraduate or Masters student

Tools

Pytorch

Physics simulator (IsaacLab/IsaacSim, Mujoco)

Job description

A robotics company in Pensacola is seeking a Reinforcement Learning Engineering Intern to join its innovative team. Interns will gain hands-on experience in developing humanoid robots while engaging in meaningful projects. Candidates should be current undergraduate or master's students proficient in programming languages like Python and C/C++. This internship offers a rich learning environment focused on technical excellence and creative problem-solving, along with competitive compensation and benefits.