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Pytorch Developer Jobs in California (NOW HIRING)

CYNET SYSTEMS

Java AI Developer

Palo Alto, CA · On-site

$53 - $57/hr

Seeking a Java AI Developer with strong programming skills and experience in cloud services to ... Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e ...

HPTech Inc.

Senior Teamcenter Developer

Santa Clara, CA

$64.50 - $83/hr

Proven track record of working with AI frameworks (e.g., PyTorch, TensorFlow, LangChain, OpenAI/Anthropic APIs) and a strong understanding of prompt engineering, retrieval-augmented generation (RAG ...

Toyon

Deep Learning Algorithm Developer

Goleta, CA · On-site

$120K - $200K/yr

Toyon has openings for researchers and developers to solve challenging real-world problems using ... Experience with PyTorch, TensorFlow, or other deep learning frameworks is required. An advanced ...

Apple

Senior Machine Learning Engineer, AI, SIML

Cupertino, CA · On-site

$128K - $177K/yr

We are especially looking for PyTorch-focused ML experts driving system-level efficiency from on ... Strong Python programming skills.Solid understanding of software-hardware co-design principles and ...

CosQube INC

ML/AI Engineers

Santa Clara, CA · On-site

ML/AI Engineers Location: CA/Santa Clara (mostly remote with occasional meetings in the office ... Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch) Mandatory: Kubernetes ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What are popular job titles related to Pytorch Developer jobs in California? For Pytorch Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in California look for? The top searched job categories for Pytorch Developer jobs in California are:
What cities in California are hiring for Pytorch Developer jobs? Cities in California with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in California as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Deep Learning Algorithm Developer

Deep Learning Algorithm Developer

Toyon Research Corporation

Goleta, CA • On-site

Full-time

Posted 3 days ago

Job description

Job Summary:
Toyon Research Corporation is a company focused on solving challenging real-world problems using Artificial Intelligence and Machine Learning techniques. They are seeking a Deep Learning Algorithm Developer to apply AI/ML techniques in developing data processing automation solutions for various application areas including remote sensing and video-based tracking.
Responsibilities:
• Solve challenging real-world problems using Artificial Intelligence (AI) / Machine Learning (ML) techniques.
• Apply AI/ML techniques to develop data processing automation solutions for problems in remote sensing, video-based tracking, low-shot classification, and 3D reconstruction.
Qualifications:
Required:
• U.S. Citizenship is Required.
• Ability to qualify for a US Department of Defense security clearance required.
• Strong background in engineering, computer science, physics, and/or mathematics.
• Experience with PyTorch, TensorFlow, or other deep learning frameworks is required.
• An advanced degree (M.S./Ph.D.) or a Bachelor’s degree and at least two years of industry experience is required.
Preferred:
• Experience in Computer Vision is desired for current openings.
Company:
Toyon Research Corporation is a defense & space company that provides missile, antennas, and RF systems. Founded in 1980, the company is headquartered in Goleta, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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