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Pytorch Jobs in Pittsburgh, PA (NOW HIRING)

Experience in building model training/eval pipelines in Python/PyTorch. Experience in prototyping and developing software applications (preferably in Swift). Experience with sensors and sensing ...

Preferred Qualifications Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow. Experience in on-device ML model deployment and on-device ...

... 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 industry track ...

Research Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. * Strong track record of publishing papers and/or deploying real-world applications. * Deep ...

... g., PyTorch, etc.). • Experience with enterprise security. • Proven experience in threat modeling, security assessments, and penetration testing. • Strong understanding of cybersecurity ...

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Pytorch information

See Pittsburgh, PA salary details

$76K

$136.2K

$195.4K

How much do pytorch jobs pay per year?

As of Sep 1, 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 cities near Pittsburgh, PA are hiring for Pytorch jobs?

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

Infographic showing various Pytorch job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $136,234 per year, or $65.5 per hour.

Machine Learning Engineer

Apple

Pittsburgh, PA • On-site

Full-time

Posted 26 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the opportunity to be part of a leading ML innovation organization that develops a wide range of impactful Apple features. Within MIND, you'll engage in cutting-edge research in fields such as Foundation Models and Perception, and collaborate to create end products that have high impact on Apple users. This role places a strong emphasis on shipping ML-based features and products. You'll be involved in the entire end-to-end ML development pipeline, which encompasses creative approaches to dataset curation, model training, runtime inference integration, and on-device model optimizations. Our ideal team member is fearless in exploring new ideas and is willing to iterate on concepts. We value team members who can swiftly prototype and iterate, ultimately resulting in high-quality implementations.
Description
Our team seeks a self-driven machine learning engineer with strong experience in building ML training pipelines and developing production-quality inference infrastructure. In this role, you are expected to collaborate closely with ML researchers, SW/FW engineers, and Operation/Data engineers to advance different research and production efforts. Your role is to help deliver the needed pipeline for model development and evaluation, as well as build the production software to integrate these models and related functionality within Apple's software infrastructure. In addition, as part of the development process you are expected to build real-time demos and visualizations of sensing data streams and model predictions.
Minimum Qualifications
A PhD in computer science, computer engineering, or relevant Fields. Alternately, a BS or an MS + 3 to 5 years of ML engineering experience also qualifies.
Strong foundation in machine learning, and more specifically in LLM and multimodal foundation models.
Experience in building model training/eval pipelines in Python/PyTorch.
Experience in prototyping and developing software applications (preferably in Swift).
Experience with sensors and sensing systems.
Strong communication and presentation skills.
* Ability to work in a collaborative environment.
Preferred Qualifications
Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorFlow.
Experience in on-device ML model deployment and on-device optimization.
Experience handling multimodal data including text, images, audio, and other sensors.
Experience in developing production software.
Proficient in Swift, Objective-C, C++, or Go

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976