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Pytorch Huggingface Jobs in California (NOW HIRING)

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...

FieldAI

Agentic AI/ML Engineer, Multimodal

Irvine, CA · On-site

... PyTorch with production-level coding skills. • Experience building pipelines for large-scale ... HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA. • Knowledge of precision tradeoffs (FP16 ...

Max AI, Inc.

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in NLP ...

Maxcare

AI Engineer (San Francisco)

San Francisco, CA · On-site

$150K - $250K/yr

Well‑versed in using ML/NLP python packages such as tensorflow, pytorch, scikit‑learn, transformers (including others for working with huggingface models) * Expertise in AI/ML and specifically in ...

Figma

AI Applied Scientist

San Francisco, CA · On-site +1

Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc * Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO ...

Zoox

Machine Learning Automation Engineer

Foster City, CA · On-site

$160K - $225K/yr

Experience with RAG, PyTorch, TensorFlow, or HuggingFace * Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.

Apple Inc.

Machine Learning Systems Engineer

Cupertino, CA · On-site

$147.40 - $272.10/hr

Strong proficiency in Python and ML framework such as PyTorch * Bachelor\'s degree in Computer ... Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness ...

Zoox

Machine Learning Automation Engineer

Foster City, CA · On-site

$180K - $225K/yr

Experience with RAG, PyTorch, TensorFlow, or HuggingFace * Has built or managed agentic LLM systems (Claude or Gemini) in a professional setting with large dataset to satisfy multiple stakeholders.

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Pytorch Huggingface information

What is a PyTorch Huggingface engineer?

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.

What are the key skills and qualifications needed to thrive as a PyTorch Huggingface engineer?

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.

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.

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 popular job titles related to Pytorch Huggingface jobs in California?

For Pytorch Huggingface jobs in California, the most frequently searched job titles are:

What job categories do people searching Pytorch Huggingface jobs in California look for?

The top searched job categories for Pytorch Huggingface jobs in California are:

What cities in California are hiring for Pytorch Huggingface jobs?

Cities in California with the most Pytorch Huggingface job openings:

Pytorch Huggingface jobs near you

AI Engineer

Max AI, Inc.

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

Job description

Max AI - Stripe for Healthcare

Max AI is the World's first human-free, fully-autonomous medical billing AI agent.
Many startups are attempting to attack this problem because the market is so big - $350B/yr.

We have the best team going after it.
While everyone else still needs humans in the loop, we've cracked the code for medical billing starting with dermatology, and are rapidly adding support for every other specialty.
Medical doctors who code are rare. We have the best one in the world. His previous apps have driven 50M+ downloads, all while running an incredibly successful practice of his own where he literally did the billing by hand himself. Our Head of AI has been doing AI research at MIT and Caltech for over 10 years. And our Head of Engineering was one of the earliest engineers at Figma.


AI Engineer

Responsibilities

  • Build, experiment, and evaluate AI agents and ML models in the NLP domain to improve the accuracy of medical coding/billing and other aspects of revenue cycle management.
  • Contribute to the building of internal AI frameworks to enable the building of our AI agents and ML models
  • Collaborate closely with a small, high-impact team and engage directly with our Operations team and our customers to drive meaningful improvements.


Work Approach

  • Complete product ownership: tackle challenges across the board rather than working in silos.
  • An agile, iterative process with clear accountability.
  • Regular interactions with customers to ensure our product continuously evolves to meet their needs.


Core Values

  • A proactive mindset: Spot and resolve issues, continuously driving improvements.
  • Commitment to lifelong learning and personal growth.
  • Positivity, collaboration, and a team-first attitude.
  • Clear communication skills

Requirements

Required

  • 6+ years of ML/AI/data science in a production setting
  • Well-versed in using ML/NLP python packages such as tensorflow, pytorch, scikit-learn, transformers (including others for working with huggingface models)
  • Expertise in AI/ML and specifically in NLP (pre-processing, embeddings, transformer-based models, etc)
  • Experience with LLM, including supervised fine-tuning, usage of AI frameworks, evaluations of LLMs


Nice to Have

  • Experience working at high-growth startups
  • Exposure in highly regulated industries and/or healthcare
  • Experience with AWS

Benefits

Compensation

  • $150k - $250k USD
  • Equity


Platinum Healthcare

  • Medical (Platinum PPO)
    • Company covers 100% for employee, 80% for dependents
  • Dental (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents
  • Vision (Platinum PPO)
    • Company covers 90% for employee, 75% for dependents


Perks

  • $250 per month (gym membership, classes, etc)
  • $2,000 annually (courses, mentorship, etc)

Apply