... 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, Ollama, Keras) to drive high satisfaction and enablement for the external user community. • Collaborate with researchers, applied partners, and external engineers (e.g., Vlmm) to ...
... HuggingFace, Ollama, Keras) to drive high satisfaction and enablement for the external user community. • Collaborate with researchers, applied partners, and external engineers (e.g., Vlmm) to ...
Proficiency in Python and ML frameworks ecosystem (HuggingFace, PyTorch). * Strong understanding of transformer architectures, attention mechanisms, and PEFT techniques. * Experience with on-device ...
Proficiency in Python and ML frameworks ecosystem (HuggingFace, PyTorch). * Strong understanding of transformer architectures, attention mechanisms, and PEFT techniques. * Experience with on-device ...
Senior Software Engineer - SimCore
Sunnyvale, CA · On-site
$143K - $188K/yr
... HuggingFace, gsplat, etc. • Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization. • Ability to move ...
Senior Software Engineer - SimCore
Sunnyvale, CA · On-site
$143K - $188K/yr
... HuggingFace, gsplat, etc. • Solid understanding of ML fundamentals including data preprocessing, training pipelines, evaluation metrics, and model performance optimization. • Ability to move ...
... HuggingFace transformers, lm evaluation harness, Megatron-LM.Experience in optimizing LLM models and deploying LLM modelsProficiency 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 modelsProficiency in a compiled programming language (e.g. Swift, C/C++, Java)
Senior AI/ML Engineer
Redwood City, CA · On-site +1
$127K - $175K/yr
Working at Wisq Our platform tech stack includes (but isn't limited to) Python, Pytorch, Huggingface, Java, Kafka, vector databases, reactive programming frameworks, commercial and open-weight LLMs ...
Senior AI/ML Engineer
Redwood City, CA · On-site +1
$127K - $175K/yr
Working at Wisq Our platform tech stack includes (but isn't limited to) Python, Pytorch, Huggingface, Java, Kafka, vector databases, reactive programming frameworks, commercial and open-weight LLMs ...
Senior / Information Retrieval Engineer (AI/ML), Brand Concierge
San Jose, CA · On-site
$122K - $168K/yr
... HuggingFace), and metadata tagging • Fine-tune relevance scoring, reranking algorithms, and query understanding mechanisms • Develop techniques to improve precision/recall for specific business ...
Senior / Information Retrieval Engineer (AI/ML), Brand Concierge
San Jose, CA · On-site
$122K - $168K/yr
... HuggingFace), and metadata tagging • Fine-tune relevance scoring, reranking algorithms, and query understanding mechanisms • Develop techniques to improve precision/recall for specific business ...
AI Forward Deployed Engineer
San Francisco, CA · On-site
$100K - $175K/yr
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 Forward Deployed Engineer
San Francisco, CA · On-site
$100K - $175K/yr
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 ...
Chief Of Staff
San Francisco, CA · On-site
... Huggingface), Emad Mostaque (Stability AI) and many others.
Chief Of Staff
San Francisco, CA · On-site
... Huggingface), Emad Mostaque (Stability AI) and many others.
... 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
$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
$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 ...
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.
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.
Senior Machine Learning Engineer
San Francisco, CA · On-site
$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
San Francisco, CA · On-site
$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 Platform Engineer - AI, Search & Knowledge
Cupertino, CA · On-site
$151K - $199K/yr
... JAX, HuggingFace) and building production-grade backend services (REST/GraphQL APIs, microservices, databases)Track record of building end-to-end workflows that span multiple systems and teams ...
Senior Machine Learning Platform Engineer - AI, Search & Knowledge
Cupertino, CA · On-site
$151K - $199K/yr
... JAX, HuggingFace) and building production-grade backend services (REST/GraphQL APIs, microservices, databases)Track record of building end-to-end workflows that span multiple systems and teams ...
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
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 ...
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 ...
Account Executive
San Francisco, CA · On-site
$150/hr
... Huggingface), Emad Mostaque (Stability AI) and many others. Your Role You will own the full sales cycle for a high-velocity and high-complexity product - compute, RL infrastructure, and post-training ...
Account Executive
San Francisco, CA · On-site
$150/hr
... Huggingface), Emad Mostaque (Stability AI) and many others. Your Role You will own the full sales cycle for a high-velocity and high-complexity product - compute, RL infrastructure, and post-training ...
Familiarity with open-source LLMs and multimodal models (HuggingFace, LangChain, LlamaIndex, etc.) * Strong foundations in cloud-native development Preferred Experience * Experience with document ...
Familiarity with open-source LLMs and multimodal models (HuggingFace, LangChain, LlamaIndex, etc.) * Strong foundations in cloud-native development Preferred Experience * Experience with document ...
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 Jun 16, 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 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 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 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 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:
Full-time
Posted 10 days ago
Apple rating
8.1
Based on 661 frontline employees who took The Breakroom Quiz
6th 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.
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.
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 environmentsExperience with programming skills in Python,C/C++, GoLandExperience 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.
Ph.D. in a related field.Experience with state-of-the-art ML methodologies, including LLM fine-tuning, neural network optimization , RLStrong 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.
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.
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 environmentsExperience with programming skills in Python,C/C++, GoLandExperience 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.
Ph.D. in a related field.Experience with state-of-the-art ML methodologies, including LLM fine-tuning, neural network optimization , RLStrong 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