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Pytorch Jobs (NOW HIRING)

Danta Technologies

Gen AI Engineer

Irving, TX · 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

Saransh Inc

Agentic AI Developer

Jersey City, NJ · On-site

AI enabled chatbot Langchain TensorFlow Java PyTorch RASA Python AI Experience: 10-14 yrs Required Skills: * Proven experience in developing AI agents, chatbots, or conversational AI systems.

CosQube INC

ML/AI Engineers

Santa Clara, CA · On-site

Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch) Mandatory: Kubernetes experience and cloud-native development practices Required Skills & Experience * Primary Technologies: Python ...

Nvidia

Senior Software Engineer, AI Networking

Seattle, WA · On-site

$139K - $183K/yr

Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types, such as time series and PyTorch model graphs, to effectively support the training of high ...

VeridianTech

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core ...

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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 Aug 7, 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.

Senior Machine Learning Research Engineer, AIML

Apple

Cupertino, CA • On-site

$128K - $177K/yr

Full-time

Re-posted 5 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The AIML team within Apple's software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple's AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers!
Description
We're seeking strong senior machine learning research engineers to help build next-generation tools for large-scale deep learning. You'll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple's centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities.
In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions.
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 ML infrastructure, we'd love to hear from you. We encourage releasing contributions as open source.
Minimum Qualifications
PhD or Master's degree in Computer Science, or equivalent industry experience, with 3+ years of experience in the AI/ML field.
Strong Python programming skills.
Solid understanding of software-hardware co-design principles and algorithms.
Solid understanding of the PyTorch software stack and experience maintaining state-of-the-art ML frameworks.
Strong understanding of LLM architectures and their core building blocks.
Preferred Qualifications
Experience working on AI/ML-optimized runtime stacks.
Familiarity with parallelization algorithms for large model training.
Familiarity with recent developments in foundation model architectures.
Experience with parallel training libraries such as PyTorch Distributed (torch.distributed), DeepSpeed, or FairScale.
Experience building ML models for on-device inference.
Publication record at ML conferences such as MLSys, NeurIPS, etc.

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

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