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Pytorch Developer Jobs in Huntington Beach, CA (NOW HIRING)

Observable Space

Computer Vision Engineer

Los Angeles, CA · On-site

$190K - $230K/yr

We combine precision opto-mechanical hardware, embedded compute, cloud orchestration, and developer ... Experience in machine learning model training using PyTorch or TensorFlow. * Experience in ...

Mantari

Software Engineer

Torrance, CA · On-site +1

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 ...

Kinetic

Senior Machine Learning Engineer

Costa Mesa, CA · On-site

$112K - $154K/yr

You'll collaborate with other engineers and researchers to develop, evaluate, and help deploy ... PyTorch, torchvision, Detectron2 or MMDetection/Segmentation, and Hugging Face Transformers

3ds

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 • ...

Staffingine LLC

AI/ML Engineer

Los Angeles, CA · On-site

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 ...

Mantari

Software Engineer

Torrance, CA · On-site

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 ...

Mantari

Software Engineer

Torrance, CA

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 ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D ... PyTorch, TensorFlow, or similar. • Familiarity with OpenCV and PCL (Point Cloud Library) for ...

Veritone

AI/Machine Learning Engineer

Irvine, CA · On-site

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone ...

Veritone

AI/Machine Learning Engineer

Irvine, CA

POSITION SUMMARY The AI/ML Engineer will participate in building, documenting, and refactoring ... Python, PyTorch / TensorFlow, Hugging Face, LangChain / LlamaIndex, Vector DBs (e.g., Pinecone ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3 ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

Strong Python development skills, including experience with pandas, PyTorch, scikit-learn, boto3 ... Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field ...

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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 Huntington Beach, CA?

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

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

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

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

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

Pytorch Developer jobs near you

Machine Learning Engineer

Ascent Developer Solutions

Los Angeles, CA

Full-time

Re-posted 13 hours ago

Job description

ROLE SUMMARY 

The Machine Learning Engineer is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities. 

ESSENTIAL DUTIES 

Data and analysis 

  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities. 
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment. 
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities. 
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights. 
  • Assist in fostering a culture of test & learn within the company. 

Leadership  

  • Serve as analytics consultant to a broad variety of line-of-business teams. 
  • Partner with technology teams on product changes and impacts on data/performance. 
  • Mentor junior analysts on various data science techniques. 

 QUALIFICATIONS 

  • Bachelor's degree in quantitative field. 
  • 5-7 years of experience in analytical or consulting roles. 
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's. 
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments. 
  • Must have deployed several models to production. 
  • Exposure to data engineering skills. 
  • Strong communication and partnership skills, effective cross-department collaboration skills. 
  • Self-starter who can work under limited supervision. 
  • Mentoring skills to help develop junior analysts. 

WORK ENVIRONMENT 

  • This role works on-site from Ascent's Encino office 2 days per week 

THE PAY 

Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year. 

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