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Pytorch Huggingface Jobs in California (NOW HIRING)

Roku

Senior Machine Learning Engineer

San Jose, CA

$229K - $360K/yr

Ray, PyTorch, HuggingFace, AWS Sagemaker * AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it. * MS in ...

FAR.AI

$100K - $190K/yr

You can contribute to open source codebases such as Pytorch, HuggingFace Transformers and Accelerate. You will receive engineering mentorship via code review, pair programming and regular 1-to-1s.

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA

$112K - $154K/yr

Exposure to modern ML frameworks (e.g.,PyTorch,HuggingFace, etc.). * Experience reviewing research papers and translating relevant ideas into practical implementations. What We Value Most Engineering ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Exposure to modern ML frameworks (e.g.,PyTorch,HuggingFace, etc.). * Experience reviewing research papers and translating relevant ideas into practical implementations. What We Value Most Engineering ...

Siemens

Software Engineer

Santa Clara, CA · On-site

$137K - $185K/yr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

Siemens

Principal Software Engineer

Santa Clara, CA · On-site

$165K - $283K/yr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

Siemens

Senior Software Engineer

Santa Clara, CA · On-site

$167K - $226K/yr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$229K - $360K/yr

Ray, PyTorch, HuggingFace, AWS Sagemaker * AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it. * MS in ...

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Pytorch Huggingface information

What are the key skills and qualifications needed to thrive as a PyTorch Hugging Face Engineer, and why are they important?

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

What is the difference between Pytorch Huggingface vs Machine Learning Engineer?

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

What are Pytorch Huggingface developers?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.
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Pytorch Huggingface jobs near you

Member of Technical Staff (AI Researcher)

Kinetic Systems and Technologies, Inc

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Kinetic Systems is a Stanford PhD spinout whose mission is to advance the capabilities of frontier AI models for solving clinically and economically meaningful healthcare tasks. We were founded in 2025 and are backed by General Catalyst.
The Role
As a Member of Technical Staff (AI Researcher), you'll help drive our research agenda towards advancing AI model capabilities for real-world healthcare tasks.
What You'll Do
  • Develop novel evals, RL environments, and benchmarks to reflect real-world healthcare workflows
  • Develop, train, and evaluate computer-use agents for complex healthcare interfaces
  • Write and publish papers in academic conferences

Who You Are
  • Published at 1+ first-author papers in a top ML conference (NeurIPS, ICLR, ICML, etc.)
  • Have significant experience with PyTorch, HuggingFace, or similar libraries
  • Familiar with a modern RL training framework
  • Are comfortable working long hours in a high-intensity, early-stage environment
  • Are excited to be on-site in SF and collaborate closely with a small team
  • Are interested in healthcare as an application (prior background not necessary)

Why Us
If you join our team, you will be joining a team with...
  • Founding-level impact and ownership
  • Leading AI research + healthcare expertise
  • Competitive compensation and meaningful equity
  • An opportunity to advance AI research in one of its most meaningful application areas

You'll also receive...
  • Unlimited PTO
  • Comprehensive health, dental, and vision coverage
  • 401(k)
  • Free lunch + dinner

Apply