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Remote Machine Learning Software Engineer Jobs in Pittsburgh, PA

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

At Gather AI, we're not just creating software; we're pioneering a new era of warehouse ... Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

At Gather AI, we're not just creating software; we're pioneering a new era of warehouse ... Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site +1

$101K - $139K/yr

This role is a full-time position based in our Pittsburgh, PA office or open to Remote ... Strong programming experience in Python and experience building production-quality software. * Deep ...

Varsity Tutors

Machine Learning Tutor

Pittsburgh, PA · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Ascent Placement Partners

Be Seen First

Remote Software Engineer - Technical Advisor

Pittsburgh, PA · Remote

$150/hr

Remote Software Engineer - Technical Advisor $150.00 USD/hour | 100% Remote (USA Only) | Mostly Asynchronous We are seeking software engineers in a remote capacity to fill code review and evaluation ...

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Remote Machine Learning Software Engineer information

See Pittsburgh, PA salary details

$61.6K

$143.2K

$199.5K

How much do remote machine learning software engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote machine learning software engineer in Pittsburgh, PA is $143,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $168,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Machine Learning Software Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Software EngineerRemote Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, coding, deploying algorithmsAnalyzing data, building models, interpreting results
Industry UsageTech, finance, healthcare, e-commerceTech, finance, healthcare, research institutions

While both roles involve working with data and algorithms, Remote Machine Learning Software Engineers focus on developing and deploying machine learning models through coding, whereas Remote Data Scientists analyze data to extract insights and build statistical models. Both roles often collaborate but serve different primary functions within organizations.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Pittsburgh, PA?

The most popular types of Machine Learning Software Engineer jobs in Pittsburgh, PA are:

What are popular job titles related to Remote Machine Learning Software Engineer jobs in Pittsburgh, PA?

For Remote Machine Learning Software Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Software Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Remote Machine Learning Software Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Machine Learning Software Engineer jobs?

Cities near Pittsburgh, PA with the most Remote Machine Learning Software Engineer job openings:

Remote Machine Learning Software Engineer jobs near you
Infographic showing various Remote Machine Learning Software Engineer job openings in Pittsburgh, PA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $143,218 per year, or $68.9 per hour.

Machine Learning Systems Engineer

Pittsburgh, PA • On-site, Remote

Motional
Motor Vehicle Manufacturing • 501 - 1,000 employees
Learn more about Motionalexternal

Full-time

Re-posted yesterday

Job description

Mission Summary:

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this role, you will be responsible for the core systems that enable our researchers to train frontier models at scale, focusing obsessively on speed, cost, reliability, and throughput. You will work at the intersection of machine learning research and high-performance systems engineering. Your work will directly impact our ability to scale large-scale distributed model training and reduce the time-to-convergence for our next generation of models.

What you'll be doing:

  • Performance Profiling & Optimization: Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
  • Distributed Training: Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
  • Kernel Development: Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
  • Data Pipeline Engineering: Optimize robust data loading pipelines that maximize training throughput.

What we're looking for:

  • Education: Bachelor's, Master's degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Software Engineering: Strong proficiency in Python.
  • ML Frameworks: Extensive hands-on experience with PyTorch.
  • ML Knowledge: Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
  • Problem Solving: Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply