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Machine Learning Intern Remote Jobs in Pennsylvania

Synopsys

Intern (Infrastructure) - 16520

Canonsburg, PA · On-site +1

... Type Intern Remote Eligible Yes Base Salary Range: $0 - $0 Descriptions & Requirements and ... Proficiency in developing learning plans and teaching in technical settings, and knowledge of CAD ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Machine Learning Staff Scientists play a supporting role in enabling the research efforts of ...

Motional

Machine Learning Systems Engineer

Pittsburgh, PA · On-site +1

$144K - $192K/yr

We are looking for a Machine Learning Systems Engineer to join our ML Acceleration team. In this ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

The Pennsylvania State University

$14.75 - $19.75/hr

... on remote work at Penn State, seeNotice to Out of State Applicants. AND POSITION REQUIREMENTS We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to ...

The Pennsylvania State University

$14.75 - $19.75/hr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Support machine learning model development using tools and libraries such as PyTorch, Scikit-learn ...

Woolpert

Proposal Intern - Fall 2026

Pittsburgh, PA · Remote

$14.50 - $19.50/hr

Enthusiastic about learning, solving problems, and contributing to goals as a team member ... Demonstrated skills with Microsoft and Adobe Suite. #LI-MH1 #LI-Remote

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Familiarity with machine learning workflows and how data is consumed for training, evaluation, and ...

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Machine Learning Intern Remote information

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are the most commonly searched types of Machine Learning Remote jobs in Pennsylvania? The most popular types of Machine Learning Remote jobs in Pennsylvania are:
What are popular job titles related to Machine Learning Intern Remote jobs in Pennsylvania? For Machine Learning Intern Remote jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern Remote jobs in Pennsylvania look for? The top searched job categories for Machine Learning Intern Remote jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Machine Learning Intern Remote jobs? Cities in Pennsylvania with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Pittsburgh, PA • On-site, Remote

Other

Posted 17 days ago

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