Senior AI Research Scientist - Reinforcement Learning

Placements24; Kimberley; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Remote work stipend

Flexible working hours

Conferences & professional development

Access to compute resources

Job summary

WhatJobs Direct is seeking a Senior AI Research Scientist specializing in Reinforcement Learning to join our fully remote team. You will lead research initiatives, develop novel RL algorithms, and contribute to state-of-the-art AI projects from your home office.

The role emphasizes publishing in top AI conferences, mentoring junior researchers, and collaborating with global experts using cutting-edge tools and platforms.

Qualifications

• PhD or equivalent research experience in AI/ML.

Responsibilities

• Conduct advanced RL research and develop new algorithms.

Skills

Reinforcement Learning

Python

Deep Learning Frameworks

Publications in AI conferences

Research leadership

Analytical thinking

Education

PhD in Computer Science / AI / ML

Tools

OpenAI Gym

Ray RLlib

TensorFlow

PyTorch

Job description

About the Role

WhatJobs Direct is actively seeking a highly accomplished Senior AI Research Scientist with a specialization in Reinforcement Learning (RL) to join our fully remote team. This position is designed for an individual passionate about pushing the boundaries of AI through advanced RL techniques. You will lead research initiatives, develop novel algorithms, and contribute to state-of-the-art projects that solve complex real-world problems. As a remote-first member of our AI & Emerging Technologies division, you will collaborate with a global team of experts, leveraging cutting-edge tools and platforms. This is an exceptional opportunity to make significant contributions to the field of artificial intelligence from the comfort of your home office.

Key Responsibilities

• Conduct advanced research in Reinforcement Learning, developing new algorithms and methodologies.
• Design, implement, and evaluate RL agents for complex decision-making tasks.
• Collaborate with researchers and engineers to integrate RL solutions into various applications.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and contribute to the scientific direction of the team.
• Stay abreast of the latest advancements and trends in RL and related AI fields.
• Develop and maintain simulation environments for training and testing RL agents.
• Analyze experimental results and provide actionable insights.
• Contribute to the strategic planning of AI research and development.
• Engage with the broader research community and represent the company at relevant events.

Requirements

• Ph.D. or equivalent research experience in Computer Science, AI, Machine Learning, or a related quantitative field.
• 6+ years of experience in AI research, with a strong focus on Reinforcement Learning.
• Proven track record of publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI).
• Expertise in RL algorithms (e.g., Q-learning, Policy Gradients, Actor-Critic methods, Deep RL).
• Strong programming skills in Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with RL libraries and simulation environments (e.g., OpenAI Gym, Ray RLlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to conduct independent research and lead research projects.
• Strong communication and collaboration skills, essential for remote teamwork.
• Demonstrated ability to translate theoretical research into practical applications.

Benefits

• Highly competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance plans.
• Generous work-from-home stipend and technology allowance.
• Flexible working hours to accommodate global collaboration.
• Opportunities for continuous learning, professional development, and conference attendance.
• Access to significant compute resources for research.
• Be part of a world-class research team working on impactful AI challenges.
• The freedom and flexibility of a fully remote role.