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Pytorch Jobs (NOW HIRING)

Nvidia

You will work across PyTorch, CUDA, C++, and GPU profiling to optimize training and rendering workflows used in sophisticated 3D reconstruction systems. The ideal candidate enjoys working close to ...

Nvidia

OR · On-site

You will work across PyTorch, CUDA, C++, and GPU profiling to optimize training and rendering workflows used in sophisticated 3D reconstruction systems. The ideal candidate enjoys working close to ...

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

Key Responsibilities: • Validate PyTorch-based LLMs on company-specific AI processors using CUDA SDK APIs • Debug and troubleshoot issues related to CUDA code integration with PyTorch models • ...

Java Script Works

Germany, United Kingdom Posted: 10 months ago Technische Anforderungen * Erfahrung mit modernen ML/DL-Frameworks wie TensorFlow, PyTorch, Pandas, Numpy (lokal und/oder in der Cloud) * Fundierte ...

New

Aivra Health LLC

AI/ML Engineer

California City, CA · On-site

TensorFlow or PyTorch * Scikit-learn * Pandas, NumPy * SQL * Data Analysis * NLP or Computer Vision (Preferred) * AWS SageMaker / Azure ML / Google Cloud Platform Vertex AI * Git Preferred ...

Danta Technologies

Gen AI Engineer

Los Angeles, CA · On-site

You will work extensively with Python, PySpark, and PyTorch, utilizing Google Cloud Platform (Google Cloud Platform) for scalable data solutions. Proficiency in data modeling and version control with ...

New

Ambarella

$161K - $182K/yr

PyTorch and AI Expertise: * Train model for quantization and pruning. Understand how backpropagation of training. * Able to verify models for accuracy. * Able to modify pytorch code to model ...

Echo IT Solutions

Python Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

Responsibilities : • Require a blend of strong programming proficiency (especially Python - expert level), deep learning frameworks (PyTorch, TensorFlow), and data engineering skills to build and ...

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All JobsPytorch Jobs

Pytorch information

See salary details

$80.5K

$144.3K

$207K

How much do pytorch jobs pay per year?

As of Aug 8, 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 August 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $144,320 per year, or $69.4 per hour.

MLOps Engineer (JAX, PyTorch, Pallas/Triton)

Weekday AI

Remote

$70 - $110/hr

Part-time

Posted 10 days ago

Job description

This role is for one of our clients
Compensation: $70-$110 per hour
Join a cutting-edge AI research initiative at the forefront of Generative AI and contribute to the development of next-generation Large Language Models. We are seeking experienced MLOps Engineers with deep expertise in modern machine learning frameworks, large-scale training infrastructure, and kernel-level optimization.
In this role, you'll leverage your knowledge of JAX, PyTorch, and custom GPU kernel programming (Pallas/Triton) to create, evaluate, and refine high-quality technical tasks that help train frontier AI systems. You'll collaborate with AI researchers and engineering teams to improve model reasoning across MLOps, distributed training, and ML infrastructure topics.
This is a full-time, 40-hour-per-week remote engagement requiring full weekday availability.
Requirements
Key Responsibilities
  • Partner with research and engineering teams to strengthen AI model capabilities in MLOps, ML infrastructure, and large-scale training systems.
  • Design challenging, real-world MLOps and machine learning systems tasks that reflect production engineering scenarios.
  • Develop accurate, well-documented solutions to complex ML infrastructure and training pipeline problems.
  • Review and evaluate technical tasks and AI-generated solutions, providing clear and actionable written feedback.
  • Create detailed evaluation rubrics and scoring frameworks for topics including:
    • Distributed training architectures
    • ML pipeline design
    • Infrastructure optimization
    • Kernel-level programming
    • Performance tuning

  • Collaborate with fellow subject matter experts to maintain consistency, quality, and technical accuracy across training datasets.
  • Contribute domain expertise to improve the reasoning capabilities of advanced AI systems.

Required Qualifications
  • Minimum 2 years of professional experience in MLOps, Machine Learning Infrastructure, or ML Systems Engineering within a recognized technology organization.
  • Hands-on production experience with JAX and/or PyTorch in large-scale machine learning environments.
  • Practical experience developing or optimizing custom GPU kernels using Pallas (JAX) or Triton.
  • Strong understanding of distributed training systems, model optimization, and scalable ML infrastructure.
  • Demonstrated career growth and increasing technical responsibility.
  • Availability to work 40 hours per week during standard weekday business hours.
  • Excellent written communication skills with the ability to clearly explain technical concepts and architectural decisions.

Preferred Skills
  • Experience designing and optimizing large-scale ML training pipelines.
  • Knowledge of distributed computing and GPU performance optimization.
  • Familiarity with evaluation methodologies for AI models and ML systems.
  • Experience collaborating with research teams on advanced machine learning projects.
  • Passion for advancing AI infrastructure and frontier model development.

Why Join
  • Help build and improve next-generation Large Language Models.
  • Work alongside leading AI researchers and experienced machine learning engineers.
  • Apply your expertise to high-impact projects involving large-scale ML systems and infrastructure.
  • Contribute directly to the development of cutting-edge AI technologies.
  • Enjoy a fully remote engagement with meaningful technical challenges.

Equal Opportunity
We welcome applications from qualified professionals regardless of legally protected characteristics and are committed to providing reasonable accommodations throughout the application and engagement process upon request.
Contract & Payment Terms
  • Engagement is offered on an independent contractor basis.
  • This is a fully remote opportunity that can be completed according to your own schedule.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • The engagement does not require access to confidential or proprietary information belonging to any current employer, client, or institution.
  • Payments are processed weekly through Stripe or Wise based on approved work completed.
  • Please note: Applicants requiring H-1B sponsorship or participating in the STEM OPT program are not eligible for this opportunity.

Apply