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Machine Learning Algorithm Developer Jobs (NOW HIRING)

CoVar

Machine Learning Engineer

Durham, NC · On-site

In this role, you will help develop software and machine learning algorithms to address real-world ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

Apple Inc.

Video Machine Learning Engineer

San Diego, CA · On-site

$139K - $258K/yr

Description As a Video Machine Learning Algorithm Engineer on our team, you will be at the forefront of designing, developing, and deploying machine learning solutions that redefine how video is ...

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Machine Learning Algorithm Developer information

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How much do machine learning algorithm developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for machine learning algorithm developer in the United States is $78.49, according to ZipRecruiter salary data. Most workers in this role earn between $66.83 and $88.94 per hour, depending on experience, location, and employer.

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Infographic showing various Machine Learning Algorithm Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $163,264 per year, or $78.5 per hour.

Machine Learning Engineer, Reinforcement Learning

San Mateo, CA • On-site

Skild AI
See more jobs at Skild AIexternal

Full-time

Re-posted 2 days ago

Job description

Position Overview

We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

Responsibilities
  • Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • Design and conduct experiments to train RL models and conduct real-world tests.
  • Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • Analyze and interpret experimental results, iterating on model design to achieve desired performance.
  • Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • Strong background in algorithms, data structures, and software engineering principles.
  • Experience with physics simulation engines and tools for training RL.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Extensive industry experience with reinforcement learning and robotic systems.

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