Remote AI Research Engineer - Reinforcement Learning

Placements24; Queenstown (MD); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary with bonuses

Comprehensive health insurance and 401

Fully remote role with flexible hours

Professional development and access to

Conference attendance

Job summary

Placements24 is seeking a Remote AI Research Engineer focused on Reinforcement Learning (RL). You will design, implement, and experiment with advanced RL algorithms from anywhere, tackling problems in robotics, optimization, and game AI.

You will publish findings, collaborate with a global team, and contribute to open-source RL libraries while improving efficiency on large-scale simulations and real systems.

Qualifications

• PhD or MS in CS/AI with RL focus.
• Publications or notable open-source RL contributions.
• Strong RL theory: Q-learning, Policy Gradients, Actor-Critic, Deep RL.
• Proficiency in Python and DL libraries (TensorFlow, PyTorch).
• Experience with simulation environments: OpenAI Gym, MuJoCo, PyBullet.
• Excellent communication for remote collaboration.
• Ability to work independently on remote projects.

Responsibilities

• Conduct cutting-edge RL research and publish findings.
• Develop, implement, and test RL agents/environments in Python using TF/PyTorch.
• Design experiments to evaluate scalability of RL algorithms.
• Collaborate with a globally distributed team of researchers and engineers.
• Contribute to open-source RL libraries and tools.
• Analyze results and provide actionable insights.

Skills

Research RL fundamentals

Theoretical RL knowledge

Remote collaboration

Education

PhD or MS with RL publications

Tools

Python

TensorFlow

PyTorch

OpenAI Gym

MuJoCo

PyBullet

Job description

About the Role

Our client, a globally recognized leader in autonomous systems and artificial intelligence, is seeking a talented Remote AI Research Engineer to focus on Reinforcement Learning (RL). This is a fully remote position, offering the opportunity to contribute to groundbreaking research and development from anywhere. You will be instrumental in designing, implementing, and experimenting with advanced RL algorithms to solve complex real-world problems in areas such as robotics, optimization, and game AI. This role requires a deep theoretical understanding coupled with practical implementation skills to push the boundaries of what's possible with intelligent agents.

Key Responsibilities

• Conduct cutting-edge research in Reinforcement Learning algorithms and techniques.
• Develop, implement, and test novel RL agents and environments using frameworks like Python, TensorFlow, or PyTorch.
• Design and execute experiments to evaluate the performance and scalability of RL algorithms.
• Collaborate with a globally distributed team of researchers and engineers.
• Publish research findings in top-tier AI conferences and journals.
• Optimize algorithms for efficiency and performance on large-scale simulations or real-world systems.
• Stay current with the latest advancements in RL and related fields like deep learning and optimal control.
• Contribute to the development of open-source RL libraries and tools.
• Analyze experimental results and provide clear, actionable insights.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• Proven research experience in Reinforcement Learning, demonstrated through publications or significant open-source contributions.
• Strong theoretical foundation in RL concepts (e.g., Q-learning, Policy Gradients, Actor-Critic methods, Deep RL).
• Proficiency in Python and deep learning libraries (e.g., TensorFlow, PyTorch).
• Experience with simulation environments (e.g., OpenAI Gym, MuJoCo, PyBullet).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills for remote collaboration.
• Ability to work independently and manage projects effectively in a remote setting.
• Experience with distributed computing and large-scale experimentation is a plus.

Benefits

• This role offers a highly competitive salary, commensurate with experience and expertise, along with performance-based bonuses.
• Our client provides a comprehensive benefits package, including robust health insurance options, retirement savings plans, and generous paid time off, accessible regardless of your location.
• As a fully remote position, you benefit from ultimate flexibility.
• We foster a culture of continuous learning and provide opportunities for professional development, including conference attendance and access to cutting-edge research resources.

Join a world-class team pushing the frontiers of AI from the comfort of your home.