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Pytorch Jobs in Pittsburgh, PA (NOW HIRING)

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

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 ...

Carnegie Robotics

Software Engineer

Pittsburgh, PA · On-site

A deep understanding of C++ and Python, with specific experience using PyTorch and libtorch for modern robotics applications * A track record of real-world deployment of autonomous systems-you've ...

AEG

Research Engineer (AI + Sports)

Pittsburgh, PA · On-site

Proficiency in ML frameworks (PyTorch, TensorFlow) and modern deep learning practices * Strong software engineering fundamentals: Python, Java, AWS, SQL, Redshift, version control, testing, CI/CD

Carnegie Robotics

Software Engineer

Pittsburgh, PA

A deep understanding of C++ and Python, with specific experience using PyTorch and libtorch for modern robotics applications * A track record of real-world deployment of autonomous systems-you've ...

Triunity Software

AI or ML Engineer

Saxonburg, PA · On-site

$90K - $110K/yr

Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * Proficiency in Python and/or other relevant programming languages * Experience with NLP, computer ...

Actalent

Software Perception Engineer

Pittsburgh, PA

$114K - $150K/yr

Practical experience using OpenCV for computer vision tasks and TensorFlow or PyTorch for deep learning-based perception models. * Experience with mobile robotics perception for autonomy or advanced ...

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

TensorFlow, PyTorch, or Scikit-learn. • Expertise in NLP, computer vision, or other specialized machine learning techniques applicable to healthcare and hospital environments. • Deep knowledge of ...

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All JobsPytorch JobsPytorch Jobs in Pittsburgh, PA

Pytorch information

See Pittsburgh, PA salary details

$76K

$136.2K

$195.4K

How much do pytorch jobs pay per year?

As of Sep 8, 2026, the average yearly pay for pytorch in Pittsburgh, PA is $136,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,229.00 and $166,611.00 per year, depending on experience, location, and employer.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What are popular job titles related to Pytorch jobs in Pittsburgh, PA?

For Pytorch jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Pytorch jobs in Pittsburgh, PA look for?

The top searched job categories for Pytorch jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Pytorch jobs?

Cities near Pittsburgh, PA with the most Pytorch job openings:

Pytorch jobs near you
Infographic showing various Pytorch job openings in Pittsburgh, PA as of September 2026, with employment types broken down into 6% Internship, 84% Full Time, 7% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $136,234 per year, or $65.5 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pittsburgh, PA • Remote

Full-time

Re-posted 19 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply