2 дня назад
Software Engineering Intern (Reinforcement Learning)
18 - 27$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Engineering Intern (Reinforcement Learning): Developing reinforcement learning solutions, simulation environments, training pipelines, and evaluation frameworks for autonomous marine vessels with an accent on robotics, machine learning, and marine autonomy. Focus on researching RL algorithms, designing reward functions and performance metrics, and building reusable development frameworks for future projects.
Location: Champaign, Illinois, United States; onsite
Salary: $18.00–$27.00 per hour
Company
is a global marine industry company developing technologies and products for marine recreation and autonomous marine systems.
What you will do
- Develop reinforcement learning solutions for autonomous marine vessels and intelligent boating applications.
- Research and evaluate reinforcement learning algorithms, robotics frameworks, and simulation tools.
- Design and assess training workflows, reward functions, and performance metrics.
- Conduct literature reviews and benchmark relevant RL and robotics technologies.
- Build reusable development frameworks and best practices for future RL projects.
Requirements
- Permanent US work authorization is required; visa sponsorship is not available now or in the future.
- Current enrollment in a BS or master’s degree in computer science, robotics, computer engineering, electrical engineering, aerospace engineering, mechanical engineering, or a related field at the University of Illinois Urbana-Champaign.
- Demonstrated interest in robotics, autonomous systems, artificial intelligence, or machine learning.
- Working experience with Python and/or C++.
- Familiarity with ROS, reinforcement learning, and simulation environments.
- Coursework or project experience in robotics, machine learning, path planning, motion planning, navigation, controls, or autonomous systems, supported by a project portfolio or resume.
Nice to have
- Experience with Unity, Unreal Engine, Isaac Sim, Gazebo, VRX, or similar simulation platforms.
- Knowledge of policy optimization, value-based methods, or model-based reinforcement learning.
- Knowledge of marine robotics and autonomous vehicles.
Culture & Benefits
- Hands-on student program experience alongside experienced professionals.
- Collaborative project environment with opportunities to apply academic knowledge to real-world tasks.
- Full 40-hour work week.
- Feedback and performance reviews throughout the assignment.
- Benefits include a 401(k) plan with company match, health benefits, paid time off, and a wellness program.
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