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Pytorch Developer Jobs in Carson, CA (NOW HIRING)

Omni Inclusive

Python Developer

Irvine, CA · On-site

$54 - $74.25/hr

... PyTorch, etc. Experience with cloud platforms, experience with MLOPS, basic knowledge of deep ... guidance to a team of developers, enhancing their technical capabilities and increasing ...

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 ...

Programmers.io

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:

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 ...

Maximus

AI/ML Software Developer

Los Angeles, CA · On-site

... 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 ...

Maximus

AI/ML Software Developer

Los Angeles, CA · Remote

... 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 ...

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 ...

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 ...

Forhyre

Prompt Engineers

Los Angeles, CA

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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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 Carson, CA? For Pytorch Developer jobs in Carson, CA, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Carson, CA look for? The top searched job categories for Pytorch Developer jobs in Carson, CA are:
What cities near Carson, CA are hiring for Pytorch Developer jobs? Cities near Carson, CA with the most Pytorch Developer job openings:
Pytorch Developer jobs near you

Python Developer

Omni Inclusive

Irvine, CA • On-site

$54 - $74.25/hr

Other

Posted 29 days ago

Job description

AI/ML Resource With Python Programming Experience

Should have proven projects on upcoming technologies like AI Client and strong hands on Python. Predictive Analysis using iONA needed. We need to add 2 resources to implement some of the advanced features (Predictive Analysis using iONA). It is AIML resource with Python programming experience. Minimum 5-8 years of experience in Python. Strong in Data science and Machine Learning, must know time series algorithms, Anomalies detection and prediction algorithms like Random Forest isolation, LSTM, etc. Strong understanding of frameworks like BERT, GPT or transformer models, Supervised and unsupervised client techniques, frameworks like TensorFlow, PyTorch, etc. Experience with cloud platforms, experience with MLOPS, basic knowledge of deep learning and neural networks.

(1.) To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.

(2.) To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization, implementation of best practices and coding standards to ensure successful delivery of complex projects.

(3.) To ensure process compliance in the assigned module, and participate in technical discussions or review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).

(4.) To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations.

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