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Pytorch Developer Jobs in California (NOW HIRING)

Qualcomm

Sr. AI Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Qualcomm Technologies, Inc. is seeking a skilled and motivated AI Model Training Engineer to join ... PyTorch, onnxruntime or Hugging Face Transformers. • Proficient in Python and familiar with ML ...

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 ...

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 ...

Qualcomm

Sr. AI Engineer

Santa Clara, CA · On-site

$129.30 - $193.90/hr

Job Area Engineering Group, Engineering Group > Software Engineering General Summary We are looking ... Solid experience training machine learning models with frameworks like PyTorch, onnxruntime or ...

Programmers.io

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

... programming Python and API's. * Excellent expertise in AI/ML Technologies * Excellent expertise in Numpy, Pandas, SciPy * Excellent expertise in Tensor Flow, PyTorch * Experience in distributed ...

Perfict

Senior Java Developer with AI

Santa Clara, CA · On-site

$67.25 - $85.75/hr

... PyTorch, scikit-learn, or ONNX. • Strong experience with relational and NoSQL databases (e.g ... pipelines and DevOps practices. Preferred : • Experience with AI model serving tools (e.g ...

ThunderSoft

CA · On-site

Experiment with prompt engineering, model configurations, retrieval techniques, and agent ... Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn

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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 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 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 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 August 2026, with employment types broken down into 85% Full Time, 2% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Python Developer- AI/ML

Sustainable Talent

San Francisco, CA • On-site

$143K - $192K/yr

Full-time

PTO

Re-posted 12 days ago

Job description

Location: San Francisco, Bay Area, CA
Employment Type: Contract 

About Us

Sustainable Talent provides flexible workforce solutions, connecting top-tier talent with leading global organizations. We partner with some of the world's most innovative companies to help them scale their teams with the right expertise. This opportunity is with one of our global high-tech clients, a leader in AI-driven technology and digital transformation. Our client is at the forefront of artificial intelligence, leveraging cutting-edge data science and machine learning to solve complex challenges.

About the Role

Our client is seeking a Python Developer to develop and optimize applications that support machine learning and data science initiatives. You'll work on building scalable data pipelines, deploying AI models, and ensuring performance and efficiency in production environments. Collaboration with data scientists and cross-functional teams will be key to transforming research into real-world solutions. If you're passionate about AI, cloud technologies, and writing clean, efficient code, this is an exciting opportunity to contribute to cutting-edge innovation.

What You'll Do
  • Develop and optimize Python-based applications that support data science and machine learning initiatives.
  • Implement and deploy machine learning models using TensorFlow, PyTorch, and Scikit-learn.
  • Design and build scalable data pipelines to preprocess and transform large datasets for AI/ML applications.
  • Work closely with data scientists to translate research into production-ready ML solutions.
  • Develop predictive analytics and deep learning solutions to enhance business intelligence and decision-making.
  • Ensure model performance optimization and scalability in production environments.
  • Integrate ML models into cloud-based platforms (AWS, GCP, Azure) and microservices architectures.
  • Write clean, efficient, and well-documented Python code following software engineering best practices.
  • Collaborate with cross-functional teams to drive innovation and improve AI-driven products.
What We're Looking For
  • 7+ years of software engineering experience with a strong focus on Python development.
  • Expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Proficiency in data manipulation and processing libraries (Pandas, NumPy, SciPy).
  • Strong understanding of predictive analytics, deep learning, and AI model development.
  • Hands-on experience with big data processing technologies, including Spark, Hadoop, or Databricks.
  • Proficiency in cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
  • Experience working with databases such as PostgreSQL, MySQL, MongoDB, or NoSQL databases.
  • Strong knowledge of data structures, algorithms, and software engineering principles.
  • Experience with API development and integrating AI models into scalable applications.
  • Proficiency in JavaScript and front-end frameworks (React, Vue, or Angular) is a plus.
  • Strong problem-solving skills and ability to communicate complex technical concepts effectively.
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or equivalent experience. 
Why Join Us?
  • Work with a global high-tech AI-driven company leading in data science and machine learning.
  • Engage in high-impact AI/ML projects that drive innovation and business intelligence.
  • Competitive salary and career growth opportunities.
  • We offer full benefits, flexible PTO, and amazing company culture!
  • Be part of a diverse, inclusive, and collaborative work environment that fosters creativity and excellence.
How to Apply

If you're an experienced Senior Python Developer passionate about AI, machine learning, and data-driven innovation, we want to hear from you!

Apply today by submitting your resume and a brief cover letter detailing your relevant experience.

 

Sustainable Talent is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. We prohibit discrimination and harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected characteristic under applicable laws.

Apply