Remote AI Research Engineer - Reinforcement Learning

Placements24; O Mente; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Conference opportunities

Health insurance

Job summary

Placements24 is seeking a Remote AI Research Engineer with a focus on Reinforcement Learning to advance algorithms for robotics, optimization, and game AI. This fully remote role allows you to contribute from anywhere while collaborating with a global team.

The ideal candidate holds a PhD or MSc in CS/AI/ML, has proven RL research exposure or open-source work, and is proficient in Python with TensorFlow or PyTorch. Experience with Gym/MuJoCo/PyBullet is a plus.

Qualifications

• PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or closely related field.
• Proven RL research experience with publications or significant open-source contributions.
• Strong theoretical RL background: Q-learning, policy gradients, actor-critic, deep RL.
• Proficiency in Python and deep learning libraries (TensorFlow, PyTorch).
• Experience with simulation environments (OpenAI Gym, MuJoCo, PyBullet).

Responsibilities

• Conduct cutting-edge RL research and develop novel agents and environments.
• Implement, test, and evaluate RL algorithms at scale.
• Design experiments to measure performance and scalability.
• Collaborate with a globally distributed research team.
• Publish findings in top AI conferences and journals.
• Contribute to open-source RL libraries and tools.

Skills

RL research

Python

Deep learning

Communication

Education

PhD or Master’s in CS/AI/ML

Tools

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.