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Pytorch Developer Jobs in California (NOW HIRING)

Quest Global

Data AI/ML Engineer

Sunnyvale, CA · On-site

... or PyTorch. • Building scalable ML pipelines, deploying models into production environments ... Quest Global is an engineering solutions company that offers a range of services in the engineering ...

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 ...

eTeam

Senior AI/ML Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

Responsibilities : • Strong programming experience in Python • Solid understanding of Machine Learning algorithms and Deep Learning frameworks (PyTorch / TensorFlow) • Hands-on experience with ...

FlexAI

Staff AI Runtime Engineer

Santa Clara, CA · On-site

$180K - $225K/yr

You'll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high ...

Transparent Search Group

AI Engineer

Sunnyvale, CA · Hybrid

$225K - $300K/yr

AI Engineer Automotive Software Innovation (Sunnyvale, CA | Hybrid | $225K to $300K) About the ... Key Responsibilities Design and develop AI/ML models using Python, TensorFlow, PyTorch, and ONNX.

Akraya Inc.

Python Developer: 26-00924

Fremont, CA · On-site

$50 - $55/hr

Python-Advanced, REST APIs-Intermediate, AI/ML- Expert, Pytorch/Jax-Intermediate Contract Type: W2 and C2C Location: Fremont, CA (5 Days onsite) Duration:6+ months (Possible Extension) Pay Range: $50 ...

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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 May 2026, with employment types broken down into 86% Full Time, 4% Part Time, and 10% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Data AI/ML Engineer

Quest Global

Sunnyvale, CA • On-site

Full-time

Posted 21 days ago

Quest Global rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

235th of 352 rated engineering

Job description

Job Summary:
Quest Global delivers world-class end-to-end engineering solutions by leveraging deep industry knowledge and digital expertise. The Data AI/ML Engineer will design and develop machine learning systems, collaborate with teams to analyze large datasets, and implement ML algorithms to enhance model performance.
Responsibilities:
• Designing, and Developing ML systems.
• Collaborating with data scientists and engineers to select, collect, clean, preprocess, and analyze large datasets for model training and feature engineering.
• Time series forecasting
• Implementing appropriate ML algorithms and using frameworks like TensorFlow or PyTorch.
• Building scalable ML pipelines, deploying models into production environments (often using Docker, Kubernetes, and cloud platforms like AWS), and creating APIs for application integration.
• Dashboard and Data Analytics
• Analysis to interpret results, and monitor deployed models for performance and potential issues.
• Collaboration and Communication: Working with cross-functional teams
• Staying updated with the latest advancements in machine learning, deep learning, and AI tooling to incorporate new knowledge into ongoing projects.
Qualifications:
Required:
• Expert-level proficiency in Python is standard
• In-depth knowledge of ML frameworks such as TensorFlow / PyTorch
• Solid understanding of probability, statistics, linear algebra, and calculus is essential for algorithm development and model evaluation.
• Experience with software architecture, data structures, unit testing, version control (Git), and general software development best practices.
• Familiarity with tools for processing data
• Experience with cloud services for deploying and managing ML models (AWS).
• Experience with Data pipelines, SQL and Snowflake
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.
• Adaptability and a commitment to continuous learning in a fast-evolving field
Company:
Quest Global is an engineering solutions company that offers a range of services in the engineering and technology domains. Founded in 1997, the company is headquartered in Singapore, SGP, with a team of 10001+ employees. The company is currently Late Stage.

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