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Pytorch Developer Jobs in Pasadena, CA (NOW HIRING)

Job Title:Python Developer

Encino, CA · On-site

$52.75 - $72.50/hr

Python Developer Location: CA Job Type: Full time Experience Level: Senior About the Role We are ... PyTorch). * Understanding of front-end frameworks (React, Angular, Vue.js) is a plus. What We Offer

Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware ... Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization ...

Lead AI/ML Engineer

Torrance, CA · On-site

$105K - $138K/yr

Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Experience with Infrastructure ... Demonstrated ability to review, refactor, and improve developer code Strong knowledge of:

AI/ML Developer

Long Beach, CA · On-site

$140K - $160K/yr

... such as PyTorch, TensorFlow, and Scikit-Learn • Hands-on experience developing applications ... prompt engineering, prompt optimization, model evaluation, and AI agent design patterns • ...

AI/ML Engineer Job Location: Los Angeles - California - USA Job Type: Contract * 3-5 years of ... Proven experience with one or more deep learning frameworks such as TensorFlow or PyTorch * Handson ...

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Build and optimize CUDA kernels, JAX/PyTorch ops, and distributed training loops for physics-aware ... Strong grasp of modern DevOps: code reviews, CI/CD pipelines, observability, and containerization ...

... PyTorch, scikit-learn). * 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). * 3 years demonstrated ...

... PyTorch, scikit-learn). * 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). * 3 years demonstrated ...

... PyTorch, scikit-learn). * 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). * 3 years demonstrated ...

... PyTorch, scikit-learn). * 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). * 3 years demonstrated ...

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

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Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow * Strong foundation in ... Experience with Linux, DevOps (command line) * Experience with containerized infrastructure (Docker ...

PyTorch) * Experience with data preprocessing, feature engineering, and model selection and optimization * Experience building and deploying ML models in production environments * Strong problem ...

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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 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:

Job Title:Python Developer

Ova Technologies

Encino, CA • On-site

$52.75 - $72.50/hr

Other

Posted 27 days ago


Job description

Python Developer

Location: CA Job Type: Full time Experience Level: Senior

About the Role

We are looking for a Python Developer to join our growing technology team. The ideal candidate will be responsible for designing, developing, and deploying robust applications and solutions using Python. You will work closely with cross-functional teams to deliver scalable, efficient, and maintainable software systems.

Key Responsibilities
  • Develop, test, and maintain Python-based applications, scripts, and tools.
  • Design and implement RESTful APIs and microservices.
  • Write clean, reusable, and efficient code following best practices.
  • Collaborate with product managers, data engineers, and other developers to define requirements and deliver solutions.
  • Troubleshoot, debug, and upgrade existing systems.
  • Optimize application performance and ensure scalability.
  • Implement unit tests and participate in code reviews.
  • Stay up to date with new trends, libraries, and frameworks in Python development.
Required Skills & Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Strong proficiency in Python and knowledge of frameworks such as Django, Flask, or FastAPI.
  • Experience working with REST APIs, JSON, and third-party integrations.
  • Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
  • Familiarity with Git and version control systems.
  • Understanding of object-oriented programming (OOP) and design patterns.
  • Ability to work in an Agile/Scrum environment.
Preferred Qualifications
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Knowledge of containerization tools (Docker, Kubernetes).
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Exposure to data analysis, machine learning, or data science libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch).
  • Understanding of front-end frameworks (React, Angular, Vue.js) is a plus.
What We Offer
  • Competitive salary and benefits package.
  • Opportunities for learning and career growth.
  • A collaborative and innovative work culture.
  • Flexible work arrangements (if applicable).