ZipRecruiter

Log In

1

Pytorch Jobs (NOW HIRING)

Mercor

MLOps Engineer - JAX/PyTorch Expert

New York, NY · Remote

$90 - $130/hr

MLOps Engineer (JAX, PyTorch, Pallas/Triton) Type: Contract Compensation: $90-$130/hour Location: Remote Role Responsibilities * Guide research and engineering teams to close knowledge gaps and ...

next page

Showing results 1-20

People also search for

All JobsPytorch Jobs

Pytorch information

See salary details

$80.5K

$144.3K

$207K

How much do pytorch jobs pay per year?

As of Jun 6, 2026, the average yearly pay for pytorch in the United States is $144,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $176,500.00 per year, depending on experience, location, and employer.

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 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 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.

More about Pytorch jobs
What cities are hiring for Pytorch jobs? Cities with the most Pytorch job openings:
What are the most commonly searched types of Pytorch jobs? The most popular types of Pytorch jobs are:
What states have the most Pytorch jobs? States with the most job openings for Pytorch jobs include:
What job categories do people searching Pytorch jobs look for? The top searched job categories for Pytorch jobs are:
Pytorch jobs near you
Infographic showing various Pytorch job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $144,320 per year, or $69.4 per hour.

PyTorch with Triton performance Engineer

VDart, Inc.

Bellevue, WA

Other

Posted yesterday

Job description

PyTorch with Triton performance Engineer

Bellevue, WA (Onsite)

Contract / FTE


Job Summary
      Design and implement high intensity stress workloads using PyTorch and Triton to identify performance bottlenecks and improve platform stability and maturity

Job Description          
       Design and implement high intensity stress workloads using PyTorch and Triton Exercise core MAIA execution paths including compute memory DMA and collectives Enable early detection of performance cliffs stability issues and system bottlenecks across simulator and real hardware Improve platform maturity reduce latestage escapes and increase confidence for broader internal and external adoption Develop PyTorch workloads stressing modellevel execution such as large GEMMs attention patterns MoElike behavior mixed precision and longrunning loops Author custom Triton kernels to stress hardware execution units memory hierarchies and synchronization paths Build parameterized stress harnesses scalable by problem size number of devices and runtime duration Integrate workloads with existing profiling monitoring and failure triage tooling Collaborate with platform firmware and SDK teams to target known risk areas and emerging issues Document usage patterns and provide reproducible scripts for lab and continuous integration CI usage

Roles and Responsibilities :         Develop and maintain a library of reusable PyTorch stress workloads Create Tritonbased micro and macrokernels designed specifically for stress and saturation testing Build and support test harnesses and scripts for singledevice and multidevice execution Ensure workload designs align with platform risk areas and emerging hardwaresoftware issues Collaborate crossfunctionally with platform firmware and SDK teams to refine stress tests Provide comprehensive documentation describing workload intent configuration options and expected stress characteristics Support profiling monitoring and failure triage by integrating stress workloads with existing tools Deliver reproducible and scalable testing solutions for lab and CI environments

Apply