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Pytorch Developer Jobs in Ramona, CA (NOW HIRING)

Required : • Expert level expertise in PyTorch and inference focused model optimization; strong Python engineering skills. • Hands on experience with torch.compile / TorchDynamo or related graph ...

PyTorch, TensorFlow, Ray RLlib, or equivalent * Data/AI Tools: Scikit-learn, Pandas, NumPy, JAX * Simulation/Integration: NTGS, AFSIM, or similar * Cloud/DevOps: Kubernetes, Docker, AWS/Azure ...

Software Developer VII

Poway, CA · On-site

$140K - $252K/yr

PyTorch, TensorFlow, Ray RLlib, or equivalent * Data/AI Tools: Scikit-learn, Pandas, NumPy, JAX * Simulation/Integration: NTGS, AFSIM, or similar * Cloud/DevOps: Kubernetes, Docker, AWS/Azure ...

... PyTorch or TensorFlow). • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development ...

Software Developer IV

Poway, CA · On-site

$105K - $189K/yr

Design data pipelines and engineering infrastructure to support enterprise level operationalization ... Experience developing machine learning models using scikit-learn, Keras, PyTorch, Tensorflow, etc.

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. * Contribute ... Strong programming skills in Python. * Familiarity with cloud platforms (e.g., AWS, Azure) or ...

Engineering Group, Engineering Group > Software Applications Engineering General Summary: Qualcomm ... Experience developing, training, or deploying models using an ML framework (e.g., PyTorch or ...

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn. * Contribute ... Strong programming skills in Python. * Familiarity with cloud platforms (e.g., AWS, Azure) or ...

Principal AI Engineer Summary: * Design and advance AI models and system innovations in close ... Pytorch/CUDA) for efficient pre and post training, building domain specific datasets and business ...

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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 cities near Ramona, CA are hiring for Pytorch Developer jobs? Cities near Ramona, CA with the most Pytorch Developer job openings:
Senior AI Research Quantization Engineer

Senior AI Research Quantization Engineer

Qualcomm

San Diego, CA • On-site

$110K - $152K/yr

Full-time

Posted 12 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 245 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is seeking a Senior AI Research Quantization Engineer to join their AI Research team. The role involves developing advanced algorithms for efficient generative AI and model optimization, collaborating with a multi-disciplinary team to enhance machine learning technology deployed in industry-leading devices.
Responsibilities:
• Algorithms research and development for efficient generative AI, LLM, LVM, Multi-modal, VLA
• Efficient inference algorithms, e.g. batching, KV caching, efficient attentions, long context, speculative decoding
• Advanced quantization algorithms for complex generative models, e.g., gradient/non-gradient based optimization, equivalent/non-equivalent transformation, automatic mixed precision, hardware in loop
• Model compression, lossy or lossless, structural and neural search
• Generative AI system prototyping
• Apply solutions toward system innovations for model efficiency advancement on device as well as in the cloud
• Python, Pytorch programming.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field. PHD's degree is preferred.
• 2+ years of experience with Machine Learning algorithms or systems engineering or related work experience.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985