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Pytorch Jobs (NOW HIRING)

Nvidia

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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

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 • ...

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 ...

Purple Drive

AI/ML Engineer

Chicago, IL · On-site

ExpertiseGood knowledge of AIML frameworks (TensorFlow, PyTorch,etc.) and libraries Experience with cloud based AIML platforms (e.g. Dataiku, AWS.) Strong programming skills in Python, Java or C ...

Apple

Senior Machine Learning Engineer, AI, SIML

Cupertino, CA · On-site

$154K - $213K/yr

We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on-device to large-scale models. If you have deep experience with PyTorch internals and high-performance ...

Yantran LLC

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

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

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Pytorch information

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$80.5K

$144.3K

$207K

How much do pytorch jobs pay per year?

As of Jun 27, 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 June 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $144,320 per year, or $69.4 per hour.

Architecture/Design/Development - Application Architect III

Futran Tech Solutions Pvt. Ltd.

Manhattan, NY • On-site

$71.25 - $93.50/hr

Full-time

Posted 24 days ago

Job description

Job Description: Job Title: Quantitative ML Engineer (PyTorch & PPNR Migration)
Location: New York
# Positions : 1
Experience : 6 Years
Rate : 75 USD per Hour
Hybrid
Role Objective
We are looking for a Quantitative ML Engineer to lead the technical migration of complex PPNR (Pre-Provision Net Revenue) forecasting models from a Hadoop/C++/R environment to a modern Databricks and PyTorch ecosystem. You will be responsible for translating legacy mathematical logic into optimized PyTorch tensors while ensuring strict numerical parity required for US regulatory compliance (CCAR/DFAST).
Key Responsibilities
• Model Translation: Reverse-engineer legacy C++ and R codebases to extract core mathematical logic, econometric formulas, and simulation parameters.
• PyTorch Implementation: Re-implement these models in PyTorch, utilizing advanced features like torch.nn for modularity and custom Autograd functions where necessary.
• Optimization: Refactor code to leverage Databricks' distributed computing and PyTorch's GPU/parallel processing capabilities to reduce model execution time.
• Data Integration: Build high-performance pipelines from Snowflake into Databricks using Spark and PyTorch DataLoaders.
• Parity & Validation: Conduct rigorous back-testing and sensitivity analysis to ensure the new PyTorch models yield results statistically identical to the legacy Hadoop outputs.
• Regulatory Documentation: Collaborating with Model Risk Management (MRM) to document the migration process, architectural changes, and validation results in compliance with SR 11-7 standards.
Required Technical Skills
• Frameworks: Expert-level PyTorch (specifically for non-computer vision tasks like time-series, regression, or Monte Carlo simulations).
• Languages: High proficiency in Python and a strong ability to read and interpret C++ and R (specifically statistical packages like lme4 or forecast).
• Platforms: Hands-on experience with Databricks (MLflow, Spark) and Snowflake (Snowpark is a plus).
• Quantitative Finance: Deep understanding of statistical modeling, econometric forecasting, or financial risk management.
• Big Data: Experience migrating workloads out of Hadoop/Hive environments.
Preferred Qualifications
• Experience specifically with PPNR, CCAR, or DFAST regulatory modeling.
• Masters or PhD in a quantitative field (Statistics, Financial Engineering, Physics, or Math).
• Experience with TorchScript or ONNX for model productionisation.
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