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Helper Reinforcement Learning Jobs (NOW HIRING)

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

... Reinforcement Learning, Agentic AI, and Autonomy. You will lead and contribute to high-impact research initiatives, collaborate with global teams, and help transition cutting-edge models into real ...

Apple

AIML - Machine Learning Research

Seattle, WA

$139K - $258K/yr

... help them complete their tasks quickly on Apple devices. Your core responsibilities will include: * Designing and developing advanced Reinforcement Learning technologies in the post-training of ...

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How much do helper reinforcement learning jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for helper reinforcement learning in the United States is $16.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Helper Reinforcement Learning vs Data Scientist?

AspectHelper Reinforcement LearningData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of reinforcement learningDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, consulting firms, tech companies
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights
Common Search/ComparisonHelper Reinforcement Learning vs Data Scientist

Helper Reinforcement Learning focuses on developing algorithms that enable machines to learn through interactions, often requiring knowledge of reinforcement learning techniques. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve programming and data handling, Helper Reinforcement Learning is more specialized in AI algorithm development, whereas Data Scientists work broadly across data analysis and modeling in various industries.

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Helper Reinforcement Learning jobs near you

Robotics Intern (Part Time)

Faraday Future

El Segundo, CA

$28 - $41/hr

Other

Medical, Dental, Vision, Retirement

Posted 26 days ago

Job description

The Company:

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility and robotics. We're producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We're not just seeking to change how our cars and robots work - we're seeking to change the way we drive and interact with machines. At FF, we're creating something new, something connected, and something with a true global impact.

Your Role:

We are looking for a highly motivated Robotics Intern (Part Time) to support robotics control and learning projects. This role is ideal for graduate students who want hands-on experience in robot locomotion, reinforcement learning, simulation, and experimental validation while working closely with a motion control team building real robotic systems.

Responsibilities:

  • Support locomotion, motion control, or learning-based robotics projects in simulation and on hardware when appropriate.
  • Implement and run reinforcement learning, imitation learning, or control experiments under guidance from the team.
  • Build tools for logging, visualization, replay, benchmarking, and experiment analysis.
  • Assist with simulator setup, training pipelines, evaluation scripts, and result reporting.
  • Help collect, organize, and analyze robot experiment data for controller tuning and performance debugging.
  • Contribute to prototype features, research explorations, and internal demos related to motion control and robotics learning.

Basic Qualifications:

  • Currently pursuing a Master's or PhD degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or a related field.
  • Strong Python programming skills, including experience developing and debugging technical or research-oriented code.
  • Strong foundation in applied mathematics, including areas such as linear algebra, calculus, probability, optimization, or control theory.
  • Hands-on experience or academic research in one or more of the following domains: robotics, reinforcement learning, motion planning and control, optimization, or physics-based simulation.
  • Familiarity with robotics development and experimentation workflows, including iterative testing, evaluation, and debugging.
  • Strong problem-solving ability and willingness to debug experiments independently.
  • Demonstrated analytical and problem-solving skills, with the ability to independently troubleshoot technical challenges and debug experimental results.

Preferred Qualifications:

  • Hands-on experience with PyTorch, reinforcement learning libraries, or imitation learning workflows.
  • Familiarity with MuJoCo, Isaac Gym, Isaac Lab, Gazebo, or other robotics simulation environments.
  • Hands-on experience with quadruped robots, humanoids, or legged robot simulation/training environments is highly preferred.
  • Experience with reinforcement learning training pipelines, policy optimization, or sim-to-real workflows.
  • Prior robotics project, lab, or competition experience is strongly preferred.
  • Basic C++ knowledge is a plus.
  • Ability to document experiments clearly and communicate insights effectively.

Hourly Salary Range:

($28/hr - $41/hr DOE), plus benefits and incentive plans

 Perks + Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • 401(k) options
  • Casual dress code + relaxed work environment
  • Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply