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Pytorch Developer Jobs in Glendale, CA (NOW HIRING)

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working ... PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models ...

The Walt Disney Company

Sr Software Engineer

Glendale, CA · On-site

$130K - $171K/yr

... TensorFlow, PyTorch, Scikit-learn) or building AI/ML solutions. • Familiar with machine learning model training • Familiar with prompt engineering and interacting with LLMS • Experience ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and ... Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch. Preferred ...

Gallatin AI, Inc.

AI Software Engineer

El Segundo, CA · On-site

The AI Software Engineer will develop and deploy AI-powered solutions, working across the full AI ... PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models ...

Programmers.io

Data Architect with AWS

Torrance, CA · On-site

$66.50 - $85.50/hr

Familiarity with PyTorch, TensorFlow, or LangChain for integrating AI into enterprise workflows. · ... or AWS Certified Data Engineer). · Analytics Background: Proven track record of designing ...

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 · 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

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: ...

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All JobsPytorch Developer JobsPytorch Developer Jobs in Glendale, 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 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 Glendale, CA?

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

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

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

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

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

Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Glendale, CA as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

AI Software Engineer

Gallatin AI, Inc.

El Segundo, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Gallatin AI, Inc. is focused on rebuilding logistics infrastructure for national security missions. They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle in collaboration with cross-functional teams.
Responsibilities:
• Build and Deploy AI/ML Models
• Own and develop an AI model aligned with our core product needs within the first three months.
• Validate AI-driven product features through real-world testing and feedback from warfighters.
• Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring.
• Own high model reliability and uptime by implementing monitoring across your work.
• Data Collection & Processing
• Identify and integrate structured, unstructured, real-time, and batch data sources.
• Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality.
• Continuous Improvement & Best Practices
• Stay ahead of AI trends and emerging technologies to improve model performance.
• Document and share best practices for AI/ML development.
• Contribute to the hiring and mentoring of AI/ML talent as we grow our team.
• Teach the wider team about the latest trends and significance in novel approaches in AI.
Qualifications:
Required:
• Strong Programming Skills: Expertise in at least one: Python, C++, or C.
• ML Framework Proficiency: Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs.
• MLOps & Data Engineering Knowledge: Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana.
• AI Fundamentals & Security Awareness: Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections).
• Growth Mindset: Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others.
Preferred:
• Experience mentoring and upskilling junior engineers.
• Familiarity with legacy systems and working with public sector customers.
• Contributions to open-source (AI/ML) projects.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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