Remote Machine Learning Engineer - Reinforcement Learning

Placements24; United States; Teletrabalho; USD 150 000 - 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health, Dental, Vision Insurance

Retirement Savings Plan

Fully Remote Work

Resumo da oferta

Placements24 is seeking a Remote Machine Learning Engineer specializing in Reinforcement Learning to design, implement, and scale RL solutions across robotics, game AI, and autonomous systems. You will collaborate with researchers and engineers from anywhere in a fully remote setup.

The role requires a strong theoretical RL background and practical Python expertise with major frameworks. You will contribute to production deployments and stay at the forefront of AI decision-making technologies.

Qualificações

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related field.
• 3+ years of experience developing and applying reinforcement learning algorithms.
• Strong theoretical understanding of RL concepts, including value-based methods, policy gradients, and model-based RL.
• Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, or JAX).
• Experience with RL libraries and tools (Ray RLlib, Stable Baselines).
• Experience with simulation environments is highly desirable.

Responsabilidades

• Design, implement, and evaluate reinforcement learning algorithms for diverse applications.
• Develop simulation environments and tools for training and testing RL agents.
• Collaborate with domain experts to define RL problem formulations and objective functions.
• Integrate RL models into larger AI systems and production environments.
• Stay current with research and advancements in reinforcement learning.
• Optimize RL algorithms for performance, scalability, and efficiency.
• Conduct rigorous experimentation and analysis to validate RL solutions.
• Contribute to the team's knowledge base through documentation and code reviews.
• Mentor junior engineers on RL concepts and implementation.

Conhecimentos

Reinforcement Learning

Python

Mathematics

Formação académica

Master's or Ph.D. in CS/AI/Robotics

Ferramentas

TensorFlow

PyTorch

JAX

Ray RLlib

Stable Baselines

Descrição da oferta de emprego

About the Role

Our client, a trailblazer in AI-driven optimization and automation, is actively seeking a highly skilled Remote Machine Learning Engineer with specialized expertise in Reinforcement Learning (RL). This is a fully remote opportunity, allowing you to contribute to groundbreaking projects from anywhere. You will be instrumental in designing, developing, and deploying advanced RL algorithms to solve complex problems in areas such as robotics, game AI, autonomous systems, and resource management. This role demands a deep theoretical understanding of RL concepts combined with practical experience in implementing and scaling RL solutions. You'll collaborate with a world-class team of researchers and engineers, pushing the frontiers of AI decision-making. If you are passionate about creating intelligent systems that learn and adapt through interaction, this role offers an unparalleled opportunity to make a significant impact.

Key Responsibilities

• Design, implement, and evaluate reinforcement learning algorithms for diverse applications.
• Develop simulation environments and tools necessary for training and testing RL agents.
• Collaborate with domain experts to define RL problem formulations and objective functions.
• Integrate RL models into larger AI systems and production environments.
• Stay current with the latest research and advancements in reinforcement learning and related fields.
• Optimize RL algorithms for performance, scalability, and efficiency.
• Conduct rigorous experimentation and analysis to validate the effectiveness of RL solutions.
• Contribute to the team's knowledge base through documentation and code reviews.
• Mentor junior engineers on RL concepts and implementation.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
• Proven experience (3+ years) in developing and applying reinforcement learning algorithms.
• Strong theoretical understanding of RL concepts, including value-based methods, policy gradients, and model-based RL.
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Experience with RL libraries and tools (e.g., Ray RLlib, Stable Baselines).
• Experience in developing or working with simulation environments is highly desirable.
• Strong mathematical and statistical background.
• Excellent programming skills and experience with software development best practices.
• Ability to work effectively in a fully remote, collaborative environment.
• Strong analytical and problem-solving abilities.

Benefits

This fully remote position offers a highly competitive salary, attractive performance bonuses, and a comprehensive benefits package including health, dental, and vision insurance, as well as a retirement savings plan. We invest heavily in our employees' professional development, providing access to cutting-edge research, training programs, and opportunities to attend leading AI conferences globally. Enjoy the ultimate flexibility of working from your preferred location while being part of a dynamic, innovative, and globally distributed team. Our client fosters a culture of continuous learning and innovation, offering challenging projects and opportunities for significant impact. We provide all necessary equipment and support for a productive remote work experience.