... HuggingFace, AXLearn and Scikit-learn. Familiarity with integrating ML solutions into production systems and existing workflows at scale; experience with CI/CD workflows and ML pipelines . Excellent ...
... HuggingFace, AXLearn and Scikit-learn. Familiarity with integrating ML solutions into production systems and existing workflows at scale; experience with CI/CD workflows and ML pipelines . Excellent ...
... HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
... HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
... HuggingFace, AXLearn and Scikit-learn. Familiarity with integrating ML solutions into production systems and existing workflows at scale; experience with CI/CD workflows and ML pipelines . Excellent ...
... HuggingFace, AXLearn and Scikit-learn. Familiarity with integrating ML solutions into production systems and existing workflows at scale; experience with CI/CD workflows and ML pipelines . Excellent ...
... HuggingFace, Vertex, Vercel, etc.) Preferred : • Healthcare experience • Published research in high-impact journals or top-tier ML/AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL) • Background ...
... HuggingFace, Vertex, Vercel, etc.) Preferred : • Healthcare experience • Published research in high-impact journals or top-tier ML/AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL) • Background ...
... using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA. • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization. • Ability to design scalable evaluation ...
... using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA. • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization. • Ability to design scalable evaluation ...
... HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
... HuggingFace transformers, lm evaluation harness, Megatron-LM. Experience in optimizing LLM models and deploying LLM models Proficiency in a compiled programming language (e.g. Swift, C/C++, Java)
We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is ...
We're backed by the investors behind OpenAI, Anthropic, Huggingface, and Notion, including Greylock, Coatue, Altman Capital and Lightspeed. The runway is long. The ambition is high. And the market is ...
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 ...
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 ...
Machine Learning Engineer II at Glidewell Dental Irvine, CA
Irvine, CA · On-site
$117 - $146/hr
Utilization of popular open-source machine learning/deep learning libraries like LangChain, HuggingFace, Tensorflow, scikit-learn, pandas, pyTorch, and Keras. * Experience working with relational ...
Machine Learning Engineer II at Glidewell Dental Irvine, CA
Irvine, CA · On-site
$117 - $146/hr
Utilization of popular open-source machine learning/deep learning libraries like LangChain, HuggingFace, Tensorflow, scikit-learn, pandas, pyTorch, and Keras. * Experience working with relational ...
Hands-on experience with frameworks like PyTorch, HuggingFace, andLangChain/LlamaIndex.● Fine-Tuning: Proven experience fine-tuning LLMs or Vision models (LoRA, QLoRA) forniche domains.● Software ...
Hands-on experience with frameworks like PyTorch, HuggingFace, andLangChain/LlamaIndex.● Fine-Tuning: Proven experience fine-tuning LLMs or Vision models (LoRA, QLoRA) forniche domains.● Software ...
... using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA. • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization. • Ability to design scalable evaluation ...
... using HuggingFace, DeepSpeed, vLLM, FSDP, LoRA/QLoRA. • Knowledge of precision tradeoffs (FP16, bfloat16, quantization) and multi-GPU optimization. • Ability to design scalable evaluation ...
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 ...
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 ...
Familiarity with HuggingFace ecosystem or open-source ML toolkits. * Experience building automated test frameworks or benchmarking tools. * Knowledge of diffusion models or multimodal architectures.
Familiarity with HuggingFace ecosystem or open-source ML toolkits. * Experience building automated test frameworks or benchmarking tools. * Knowledge of diffusion models or multimodal architectures.
Machine Learning Automation Engineer
Foster City, CA · On-site
$180 - $225/hr
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.
New
Machine Learning Automation Engineer
Foster City, CA · On-site
$180 - $225/hr
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.
New
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 ...
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 ...
Senior Machine Learning Engineer
$244K - $320K/yr
Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas You'll get ...
Senior Machine Learning Engineer
$244K - $320K/yr
Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas You'll get ...
Machine Learning Automation Engineer
$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.
Quick apply
Machine Learning Automation Engineer
$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.
Machine Learning Systems Engineer
Cupertino, CA · On-site
$147.40 - $272.10/hr
Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM. * Experience in optimizing LLM models and deploying LLM models * Proficiency in a ...
Machine Learning Systems Engineer
Cupertino, CA · On-site
$147.40 - $272.10/hr
Experience in an LLM training/eval library such as HuggingFace transformers, lm evaluation harness, Megatron-LM. * Experience in optimizing LLM models and deploying LLM models * Proficiency in a ...
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.
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.
Principal AI Engineer (Technical Lead) in Palo Alto - Prophecy
Palo Alto, CA · On-site
$250 - $350/hr
Led fine‑tuning (SFT, DPO, RLHF), distillation, quantization with PyTorch/HuggingFace * Production AI agents: Shipped with LangChain, LlamaIndex, CrewAI * RAG systems: Expert in vector DBs and ...
Principal AI Engineer (Technical Lead) in Palo Alto - Prophecy
Palo Alto, CA · On-site
$250 - $350/hr
Led fine‑tuning (SFT, DPO, RLHF), distillation, quantization with PyTorch/HuggingFace * Production AI agents: Shipped with LangChain, LlamaIndex, CrewAI * RAG systems: Expert in vector DBs and ...
Huggingface information
See California salary details
$8.71 - $13.42
16% of jobs
$14.86 is the 25th percentile. Wages below this are outliers.
$13.42 - $18.13
29% of jobs
The median wage is $19.30 / hr.
$18.13 - $22.83
19% of jobs
$27.01 is the 75th percentile. Wages above this are outliers.
$22.83 - $27.54
12% of jobs
$27.54 - $32.25
8% of jobs
$32.25 - $36.96
5% of jobs
$36.96 - $41.66
4% of jobs
$41.66 - $46.37
2% of jobs
$46.37 - $51.08
2% of jobs
$51.08 - $55.79
1% of jobs
$55.79 - $60.50
1% of jobs
$8
$25
$60
How much do huggingface jobs pay per hour?
As of Aug 18, 2026, the average hourly pay for huggingface in California is $25.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.83 and $30.13 per hour, depending on experience, location, and employer.
What is a Huggingface job?
A Hugging Face job typically refers to a role at Hugging Face, a company specializing in machine learning and natural language processing (NLP). Employees at Hugging Face work on developing and maintaining open-source AI tools, including the popular Transformers library. Roles range from research and engineering to product and community development, often focusing on advancing state-of-the-art AI models.
What does a typical day look like for an engineer working at Hugging Face?
As an engineer at Hugging Face, your day typically involves collaborating with team members to design, develop, and improve state-of-the-art machine learning models and tools, with a strong focus on open-source NLP projects. You’ll participate in code reviews, experiment with new technologies, engage with the community through forums or GitHub, and help support user questions or issues. Expect a fast-paced, collaborative environment where cross-functional teamwork with product managers, researchers, and other engineers is common. The work is project-driven, with plenty of opportunities to contribute ideas, learn from experts, and advance your technical skills.
What are the key skills and qualifications needed to thrive in the Huggingface position, and why are they important?
To thrive in a role at Hugging Face, you typically need strong skills in machine learning, natural language processing (NLP), and software development, supported by a relevant degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, plus experience using version control systems such as Git, are often required; open-source contributions and cloud platform knowledge are a plus. Excellent communication, collaborative teamwork, and problem-solving abilities help candidates stand out in this dynamic, innovation-driven environment. These strengths are crucial because they enable individuals to develop high-impact AI tools, work effectively in interdisciplinary teams, and contribute to open-source communities.
What are the most commonly searched types of Huggingface jobs in California?
The most popular types of Huggingface jobs in California are:
What are popular job titles related to Huggingface jobs in California?
For Huggingface jobs in California, the most frequently searched job titles are:
What job categories do people searching Huggingface jobs in California look for?
The top searched job categories for Huggingface jobs in California are:
What cities in California are hiring for Huggingface jobs?
Cities in California with the most Huggingface job openings:
Other
Re-posted 11 days ago
Apple rating
8.0
Based on 677 frontline employees who took The Breakroom Quiz
7th of 30 rated technology retailers
Job description
The Search and Knowledge Quality team is redefining how hundreds of millions of users interact with their devices to access information. We are an Applied Machine Learning team pushing the boundaries of artificial intelligence-from query understanding and information retrieval to response ranking and contextual answer generation.
Our team drives innovation by conducting research, building end-to-end solutions, and deploying them at scale to deliver meaningful customer impact across Apple products.
In this role, you will leverage and advance state-of-the-art LLM and ML techniques to better understand user queries and intent, improve document ranking, and generate high-quality answers. You will have end-to-end ownership of features within the Siri Search system, from ideation through production deployment. You will collaborate with industry-leading experts and cross-functional teams across multiple geographies, tackling complex challenges at scale.
Description
In this role, you will leverage and advance state-of-the-art LLM and ML techniques to better understand user queries and intent, improve document ranking, and generate high-quality answers. You will have end-to-end ownership of features within the Siri Search system, from ideation through production deployment. You will collaborate with industry-leading experts and cross-functional teams across multiple geographies, tackling complex challenges at scale.
Minimum Qualifications
BSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or related field.
3+ years of industry related experience, working in collaborate environments
Experience with programming skills in Python,C/C++, GoLand
Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn and Scikit-learn.
Familiarity with integrating ML solutions into production systems and existing workflows at scale; experience with CI/CD workflows and ML pipelines .
Excellent written and verbal communication skills, with the ability to present technical concepts clearly to varied audiences.
Strong problem-solving skills and ability to work independently as well as in a team environment.
Preferred Qualifications
Ph.D. in a related field.
Experience with state-of-the-art ML methodologies, including LLM fine-tuning, neural network optimization , RL
Strong communication and accountability skills; a hard-working, strong work ethic, and collaboration abilities.
Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms.
Our team drives innovation by conducting research, building end-to-end solutions, and deploying them at scale to deliver meaningful customer impact across Apple products.
In this role, you will leverage and advance state-of-the-art LLM and ML techniques to better understand user queries and intent, improve document ranking, and generate high-quality answers. You will have end-to-end ownership of features within the Siri Search system, from ideation through production deployment. You will collaborate with industry-leading experts and cross-functional teams across multiple geographies, tackling complex challenges at scale.
Description
In this role, you will leverage and advance state-of-the-art LLM and ML techniques to better understand user queries and intent, improve document ranking, and generate high-quality answers. You will have end-to-end ownership of features within the Siri Search system, from ideation through production deployment. You will collaborate with industry-leading experts and cross-functional teams across multiple geographies, tackling complex challenges at scale.
Minimum Qualifications
BSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or related field.
3+ years of industry related experience, working in collaborate environments
Experience with programming skills in Python,C/C++, GoLand
Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, AXLearn and Scikit-learn.
Familiarity with integrating ML solutions into production systems and existing workflows at scale; experience with CI/CD workflows and ML pipelines .
Excellent written and verbal communication skills, with the ability to present technical concepts clearly to varied audiences.
Strong problem-solving skills and ability to work independently as well as in a team environment.
Preferred Qualifications
Ph.D. in a related field.
Experience with state-of-the-art ML methodologies, including LLM fine-tuning, neural network optimization , RL
Strong communication and accountability skills; a hard-working, strong work ethic, and collaboration abilities.
Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms.
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976