AI Research Scientist - Reinforcement Learning

Placements24; Riverton (UT); Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Industry-leading salary

Comprehensive benefits

Fully remote work

Support for conferences

State-of-the-art resources

Job summary

Placements24 is seeking an AI Research Scientist specializing in reinforcement learning to advance autonomous decision‑making. The role is fully remote, enabling collaboration across borders while tackling foundational RL challenges and translating them into real‑world systems.

You will design and conduct experiments, develop new RL algorithms, and publish results in leading conferences. A PhD and strong publication record are required, with proficiency in Python and DL frameworks.

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI).
• Deep theoretical and practical RL experience (Q-learning, Policy Gradients, Actor-Critic).
• Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.

Responsibilities

• Conduct cutting-edge research in reinforcement learning and develop new algorithms.
• Design and run experiments to test RL using simulations and real-world data.
• Collaborate with engineers to integrate research prototypes into AI systems.
• Analyze results and communicate findings via publications and reports.
• Stay current with RL/ML research trends.

Skills

Reinforcement learning

Python

Deep learning

Q-learning

Policy gradients

Actor-critic

TensorFlow

PyTorch

Education

PhD in CS/AI/ML

Tools

TensorFlow

PyTorch

Job description

Our client is looking for a brilliant AI Research Scientist specializing in Reinforcement Learning (RL) to join their innovative research division, working remotely. This role is at the cutting edge of AI & Emerging Technologies , focused on advancing the frontiers of autonomous decision‑making and control systems. You will conduct foundational and applied research to develop novel RL algorithms and apply them to solve complex, real‑world problems. This is an exceptional opportunity for a highly motivated researcher to contribute to groundbreaking advancements in AI and publish their work in leading scientific venues.

Key Responsibilities

• Conduct cutting‑edge research in reinforcement learning, developing new algorithms and theoretical frameworks.


• Design and implement experiments to test and validate RL algorithms using simulations and real‑world data.


• Collaborate with engineers to integrate research prototypes into larger AI systems and products.


• Analyze and interpret experimental results, and communicate findings through publications, presentations, and internal reports.


• Stay current with the latest research trends in RL, machine learning, and related fields.

Requirements

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.


• A strong publication record in top‑tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI).


• Deep theoretical understanding and practical experience in reinforcement learning algorithms (e.g., Q‑learning, Policy Gradients, Actor‑Critic methods).


• Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.


• Experience with simulation environments or applying RL to complex control problems is highly desirable.

Benefits

• Industry-leading salary and comprehensive benefits package.


• Fully remote work opportunity, allowing for global collaboration and flexibility.


• Significant investment in research, with access to state‑of‑the‑art computational resources.


• Support for attending and presenting at leading international conferences.


• A highly stimulating research environment with opportunities for significant scientific impact.