Remote RL Scientist for Autonomous Systems

Placements24

Willows (CA)

Hybrid

USD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Competitive remote salary
Healthcare coverage
Professional development
Flexible working hours
Remote-first environment
Home office stipend

Job summary

Placements24 is seeking a Machine Learning Scientist specializing in Reinforcement Learning to work remotely from South Africa. You will design, train, and evaluate advanced RL agents for a variety of applications including robotics and games, collaborating with distributed teams to push the boundaries of AI capabilities.

The role emphasizes deep RL theory and practical deployment, with opportunities for professional development, cloud resources, and a remote-first working environment.

Qualifications

  • PhD or Master’s in Computer Science, Artificial Intelligence, Robotics, or a related field with a strong focus on Reinforcement Learning.
  • Minimum of 4 years of hands-on experience in applying RL algorithms to solve complex problems.
  • Proficiency in Python and experience with machine learning libraries (TensorFlow, PyTorch, scikit-learn).
  • In-depth knowledge of RL concepts, including Q-learning, policy gradients, actor-critic methods, and deep RL architectures.
  • Experience with RL simulation environments (OpenAI Gym, MuJoCo) is highly desirable.
  • Excellent analytical and problem-solving skills, with strong written and verbal communication for remote work.
  • Ability to work independently and collaborate with remote teams.
  • Experience with parallel computing and distributed systems is a plus.

Responsibilities

  • Design, implement, and evaluate state-of-the-art reinforcement learning algorithms.
  • Develop and train RL agents for robotics, games, optimization, and control systems.
  • Research novel RL methodologies and assess their real-world impact.
  • Collaborate with engineers to integrate RL solutions into platforms and products.
  • Analyze results, interpret data, and identify key performance metrics.
  • Stay current with latest RL research papers and advancements.
  • Contribute to team knowledge through documentation, presentations, and code reviews.
  • Address ethical considerations and safety in RL systems.

Skills

Reinforcement Learning
Python
Communication skills

Education

PhD or Master’s in CS/AI/Robotics with RL focus

Tools

TensorFlow
PyTorch
scikit-learn

Job description

Placements24 is seeking a Machine Learning Scientist specializing in Reinforcement Learning to work remotely from South Africa. You will design, train, and evaluate advanced RL agents for a variety of applications including robotics and games, collaborating with distributed teams to push the boundaries of AI capabilities.

The role emphasizes deep RL theory and practical deployment, with opportunities for professional development, cloud resources, and a remote-first working environment.

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