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Pytorch Developer Jobs in Pasadena, CA (NOW HIRING)

Disney Experiences

Sr Software Engineer

Glendale, CA

$135K - $181K/yr

Hands-on expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines. * Hands-on building and deploying LLM-based applications, including prompt engineering and fine ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in ... Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in ... Proficient with at least one major deep learning framework, preferably TensorFlow/Pytorch

SpaceX

AI Software Engineer (Vehicle Engineering)

Hawthorne, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PyTorch, TensorFlow, JAX, or equivalent * Experience designing and running large-scale ML training ... AI Software Engineer/Level I: $125,000.00 - $145,000.00/per year AI Software Engineer/Level II: ...

SpaceX

AI Software Engineer (Vehicle Engineering)

Hawthorne, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PyTorch, TensorFlow, JAX, or equivalent * Experience designing and running large-scale ML training ... AI Software Engineer/Level I: $125,000.00 - $145,000.00/per year AI Software Engineer/Level II: ...

SpaceX

Sr. Software Engineer (Vehicle Engineering)

Hawthorne, CA · On-site

$124K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PyTorch, TensorFlow, JAX, or equivalent * Experience designing and running large-scale ML training ... Software Engineer/Senior: $160,000.00 - $225,000.00/per year Your actual level and base salary will ...

HeyGen

Research Engineer

Los Angeles, CA · On-site

Collaborative Engineering and Growth: Engage with a diverse team where collaborative efforts lead ... Experience with deep learning frameworks such as PyTorch, and a capacity for quickly mastering new ...

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Showing results 41-60

All JobsPytorch Developer JobsPytorch Developer Jobs in Pasadena, CA

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 Pasadena, CA?

For Pytorch Developer jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Pasadena, CA look for?

The top searched job categories for Pytorch Developer jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Pytorch Developer jobs?

Cities near Pasadena, CA with the most Pytorch Developer job openings:

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Pasadena, CA as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Software Engineer AI/ML Ops

Motion Recruitment Partners, LLC

Los Angeles, CA • On-site

$123K - $148K/yr

Other

Medical, Dental, Vision, PTO

Posted 14 days ago

Job description

This is a full-time, hybrid opportunity based in Pleasanton, California with a leading enterprise SaaS organization building next-generation AI-driven accounting solutions. The role focuses on AI/ML Ops, leveraging technologies like PySpark, Python, cloud platforms (AWS/Google Cloud Platform/Azure), and modern orchestration tools to build scalable data pipelines and production-grade machine learning systems.
This opportunity is ideal for engineers who want to work at the intersection of data engineering, machine learning, and infrastructure. The standout feature of this role is ownership of end-to-end AI data pipelines powering agentic AI systems at scale. The team is looking for someone who thrives in fast-paced environments, enjoys working with cutting-edge AI tooling, and wants to deepen expertise in ML systems, observability, and cloud-native infrastructure. You will gain hands-on experience with large-scale data systems, LLM-based pipelines, and advanced AI orchestration, all while collaborating in a culture that values continuous learning and innovation. Required Skills & Experience 2+ years of experience in software engineering with Python, Java, or Scala
Hands-on experience building and maintaining data pipelines (ETL/ELT), preferably with PySpark
Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience deploying and managing ML/LLM pipelines in production environments
Familiarity with orchestration tools such as Airflow, Kubeflow, MLflow, or Vertex AI
Understanding of distributed systems and large-scale data processing
Experience with CI/CD pipelines, infrastructure-as-code, and DevSecOps practices
Knowledge of observability tools such as Prometheus, Grafana, or New Relic
Experience with Docker and Kubernetes for containerization and scaling Desired Skills & Experience Experience integrating with data platforms such as Fivetran, Plaid, or similar API-based connectors
Familiarity with LangChain, LangGraph, or other agentic AI frameworks
Experience optimizing large-scale data pipelines (CDC, indexing, performance tuning)
Knowledge of Responsible AI practices including governance, auditability, and cost tracking
Strong scripting and automation skills (Python, Bash)
Experience working with cloud-native infrastructure across AWS, Google Cloud Platform, or Azure
Familiarity with networking, security practices, and system reliability
Strong analytical and problem-solving skills with a focus on data-driven decision making What You Will Be Doing Tech Breakdown 40% Data Engineering (PySpark, ETL pipelines, data integration)
30% AI/ML Systems (LLM pipelines, model orchestration, agent frameworks)
20% Cloud & Infrastructure (AWS/Google Cloud Platform/Azure, Kubernetes, CI/CD)
10% Observability & Optimization (monitoring, tuning, reliability improvements) Daily Responsibilities 75% Hands On Engineering (pipeline development, ML systems, infrastructure)
5% Management Duties
20% Team Collaboration (cross-functional work with engineering and business stakeholders) The Offer Bonus eligible
You will receive the following benefits:
Medical, Dental, and Vision Insurance
Vacation Time
Stock Options Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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