ZipRecruiter

Log In

1

Quantitative Researcher Machine Learning Jobs in Pittsburgh, PA

Bespoke Labs

Machine Learning Engineer

Pittsburgh, PA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

next page

Showing results 1-20

All JobsQuantitative Researcher Machine Learning JobsQuantitative Researcher Machine Learning Jobs in Pittsburgh, PA

Quantitative Researcher Machine Learning information

See Pittsburgh, PA salary details

$51K

$115.7K

$190.8K

How much do quantitative researcher machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for quantitative researcher machine learning in Pittsburgh, PA is $115,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $148,000.00 per year, depending on experience, location, and employer.
What are popular job titles related to Quantitative Researcher Machine Learning jobs in Pittsburgh, PA? For Quantitative Researcher Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher Machine Learning jobs in Pittsburgh, PA look for? The top searched job categories for Quantitative Researcher Machine Learning jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Quantitative Researcher Machine Learning jobs? Cities near Pittsburgh, PA with the most Quantitative Researcher Machine Learning job openings:
Quantitative Researcher Machine Learning jobs near you
Infographic showing various Quantitative Researcher Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $115,688 per year, or $55.6 per hour.

Machine Learning Engineer, Reinforcement Learning

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Re-posted 17 days ago

Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
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.

Base Salary Range
$100,000-$300,000 USD

Apply