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Remote Python Machine Learning Jobs in Pennsylvania

Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale * MS or PhD in Computer Science, Machine Learning, or a related field (strong ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Machine Learning Tutor

Erie, PA ยท Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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Remote Python Machine Learning information

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$13

$58

$86

How much do remote python machine learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for remote python machine learning in Pennsylvania is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 per hour, depending on experience, location, and employer.

What is a Remote Python Machine Learning job?

A Remote Python Machine Learning job involves developing, deploying, and optimizing machine learning models using Python while working from a remote location. Responsibilities typically include data preprocessing, model training, evaluation, and integration into production systems. Professionals in this role often use frameworks like TensorFlow, PyTorch, or Scikit-learn and work with cloud platforms or on-premise infrastructure. This job requires strong programming skills, an understanding of machine learning algorithms, and experience handling large datasets. Remote positions offer flexibility but require self-discipline and effective communication with distributed teams.

Which 5 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and human interaction, such as data scientists, AI specialists, software developers, cybersecurity analysts, and technical trainers, are also expected to remain in demand despite advances in AI. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in Python, deep learning frameworks, and extensive experience. These positions usually involve leadership, strategic planning, and may include stock options or bonuses, reflecting their seniority and impact on company success.

Which 3 jobs will survive AI?

Remote Python machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms that are difficult to fully automate. Jobs involving creative problem-solving, strategic decision-making, and interpersonal communication, such as data scientists, AI specialists, and software engineers, are also expected to remain in demand. Continuous learning and adapting to new tools like deep learning frameworks will help professionals stay relevant in these fields.

What are the key skills and qualifications needed to thrive in the Remote Python Machine Learning position, and why are they important?

To thrive as a Remote Python Machine Learning professional, you need a strong background in Python programming, machine learning algorithms, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like AWS or Azure, as well as relevant certifications, are highly valuable. Excellent problem-solving skills, self-motivation, and clear communication are essential for remote collaboration and delivering impactful results. These capabilities enable you to tackle complex projects efficiently, drive innovation, and function effectively in distributed teams.

Is Python good for remote jobs?

Python is widely used for remote jobs, especially in fields like machine learning, data analysis, and web development. Many companies offer remote Python roles that require skills in frameworks, libraries, and version control tools, making it a strong choice for remote work opportunities.

What are some typical daily tasks for a Remote Python Machine Learning professional?

A typical day in this role involves designing, developing, and testing machine learning models using Python, as well as cleaning and preprocessing large datasets. You may also spend time researching new algorithms, tuning model performance, and collaborating with data engineers, product managers, and other remote team members to integrate solutions into production. Regular code reviews, virtual meetings, and documentation are part of the workflow to ensure consistent project progress and maintain code quality. Balancing independent deep work with remote teamwork is key to succeeding in this environment.

What are the most commonly searched types of Python Machine Learning jobs in Pennsylvania? The most popular types of Python Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Remote Python Machine Learning jobs in Pennsylvania? For Remote Python Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Python Machine Learning jobs in Pennsylvania look for? The top searched job categories for Remote Python Machine Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Python Machine Learning jobs? Cities in Pennsylvania with the most Remote Python Machine Learning job openings:
Machine Learning Systems Engineer

Machine Learning Systems Engineer

Motional

Pittsburgh, PA โ€ข On-site, Remote

Other

Posted 8 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.