Required : • 5+ years of industry experience in Machine Learning, Infrastructure or related fields • Experience with deep learning framework such as Pytorch or Huggingface or LLM serving ...
Required : • 5+ years of industry experience in Machine Learning, Infrastructure or related fields • Experience with deep learning framework such as Pytorch or Huggingface or LLM serving ...
Member of Technical Staff (AI Researcher)
San Francisco, CA · On-site
$150K - $225K/yr
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 ...
Member of Technical Staff (AI Researcher)
San Francisco, CA · On-site
$150K - $225K/yr
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 ...
Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex , and related toolkits). * Expertise in LLM reasoning methods : in ...
Strong programming skills in Python with deep expertise in LLM frameworks (PyTorch, HuggingFace Transformers, LangChain, LlamaIndex , and related toolkits). * Expertise in LLM reasoning methods : in ...
Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface). * Clear communication and collaboration in crossfunctional settings. Bonus Points For
Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface). * Clear communication and collaboration in crossfunctional settings. Bonus Points For
Integrate GenAI/LLM workflows (OpenAI, Anthropic, HuggingFace, etc.) into production systems * Develop secure, high-performance REST/GraphQL APIs * Work with vector databases and traditional data ...
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Integrate GenAI/LLM workflows (OpenAI, Anthropic, HuggingFace, etc.) into production systems * Develop secure, high-performance REST/GraphQL APIs * Work with vector databases and traditional data ...
Senior Software Engineer, Quantized Inference
Redmond, WA · On-site
$137K - $180K/yr
Responsibilities : • Implement quantized and sparse recipes in inference engines (vLLM, TRT-LLM, SGLang) • Own model export pipelines (ModelOpt, Megatron-LM HuggingFace), ensuring quantized ...
Senior Software Engineer, Quantized Inference
Redmond, WA · On-site
$137K - $180K/yr
Responsibilities : • Implement quantized and sparse recipes in inference engines (vLLM, TRT-LLM, SGLang) • Own model export pipelines (ModelOpt, Megatron-LM HuggingFace), ensuring quantized ...
Member of Technical Staff (Applied AI)
San Francisco, CA · On-site
$150K - $225K/yr
Have basic familiarity with PyTorch, HuggingFace, or similar libraries * Can spin up a GPU cluster and train/evaluate a model * Are comfortable working long hours in a high-intensity, early-stage ...
Member of Technical Staff (Applied AI)
San Francisco, CA · On-site
$150K - $225K/yr
Have basic familiarity with PyTorch, HuggingFace, or similar libraries * Can spin up a GPU cluster and train/evaluate a model * Are comfortable working long hours in a high-intensity, early-stage ...
Deepspeed, Huggingface TGI, FSDP) * Experience in projects involving LLMs
Deepspeed, Huggingface TGI, FSDP) * Experience in projects involving LLMs
Member of Technical Staff - ML Training Systems
New York, NY · On-site
$150K - $350K/yr
Experience working with torch and high-level training frameworks (Huggingface, verl, slime) * Experience with ML training optimization (tell us a story about eliminating data loading bottlenecks ...
Member of Technical Staff - ML Training Systems
New York, NY · On-site
$150K - $350K/yr
Experience working with torch and high-level training frameworks (Huggingface, verl, slime) * Experience with ML training optimization (tell us a story about eliminating data loading bottlenecks ...
AI Engineer
Nashville, TN · On-site
Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks like MLflow or Kubeflow * Cloud experience with AWS/GCP/Azure; containerization with Docker/Kubernetes ...
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AI Engineer
Nashville, TN · On-site
Proficiency in Python (PyTorch, TensorFlow, HuggingFace), and familiarity with MLOps frameworks like MLflow or Kubeflow * Cloud experience with AWS/GCP/Azure; containerization with Docker/Kubernetes ...
Deepspeed, Huggingface TGI) * Experience in turning applied research results into product components
Deepspeed, Huggingface TGI) * Experience in turning applied research results into product components
AI/ML Engineer
Washington, DC · On-site
... HuggingFace) • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC • Hands-on experience developing and deploying machine learning ...
AI/ML Engineer
Washington, DC · On-site
... HuggingFace) • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC • Hands-on experience developing and deploying machine learning ...
Applied AI Intern
San Francisco, CA · On-site
$17.75 - $23.50/hr
Have significant experience with PyTorch, HuggingFace, or similar libraries * Are high-agency and comfortable owning large, ambiguous problem spaces * Are comfortable working long hours in a high ...
Applied AI Intern
San Francisco, CA · On-site
$17.75 - $23.50/hr
Have significant experience with PyTorch, HuggingFace, or similar libraries * Are high-agency and comfortable owning large, ambiguous problem spaces * Are comfortable working long hours in a high ...
... HuggingFace, etc. • Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations • Strong problem solving and time management skills • Excellent ...
... HuggingFace, etc. • Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations • Strong problem solving and time management skills • Excellent ...
... huggingface-transformer, neural-compressor, llamacpp * Proficiency in C/C++ and Python * Demonstrate good capability in problem solving, debug and communication * Health Care Plan (Medical, Dental ...
... huggingface-transformer, neural-compressor, llamacpp * Proficiency in C/C++ and Python * Demonstrate good capability in problem solving, debug and communication * Health Care Plan (Medical, Dental ...
Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace * Work on POCs and research prototypes * Provide thought leadership in machine ...
Design, experiment, and evaluate algorithms as well as models using PyTorch, scikit-learn, Tensorflow, HuggingFace * Work on POCs and research prototypes * Provide thought leadership in machine ...
GenAI & Agentic AI Engineer
Prosper, TX · On-site
Experience with OpenAI APIs , Azure OpenAI, HuggingFace, and prompt engineering. * Familiarity with building scalable APIs using FastAPI , Flask, or Django. * Handson knowledge of cloud services ...
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GenAI & Agentic AI Engineer
Prosper, TX · On-site
Experience with OpenAI APIs , Azure OpenAI, HuggingFace, and prompt engineering. * Familiarity with building scalable APIs using FastAPI , Flask, or Django. * Handson knowledge of cloud services ...
Cleared AI/ML Engineer
Washington, DC · On-site
... HuggingFace) • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC • Hands-on experience developing and deploying machine learning ...
Cleared AI/ML Engineer
Washington, DC · On-site
... HuggingFace) • Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB, Airflow, Kubeflow, Gitlab CI or DVC • Hands-on experience developing and deploying machine learning ...
AI & Intelligent Systems Practical use of LLMs , embeddings, and RAG pipelines Integration of open-source models (LLaMA-family, CV, HuggingFace) Experience calling and orchestrating AI services via ...
AI & Intelligent Systems Practical use of LLMs , embeddings, and RAG pipelines Integration of open-source models (LLaMA-family, CV, HuggingFace) Experience calling and orchestrating AI services via ...
... HuggingFace, etc. • Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations • Strong problem solving and time management skills • Excellent ...
... HuggingFace, etc. • Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations • Strong problem solving and time management skills • Excellent ...
Huggingface information
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 cities are hiring for Huggingface jobs? Cities with the most Huggingface job openings:
What are the most commonly searched types of Huggingface jobs? The most popular types of Huggingface jobs are:
What states have the most Huggingface jobs? States with the most job openings for Huggingface jobs include:
What job categories do people searching Huggingface jobs look for? The top searched job categories for Huggingface jobs are:
Full-time
Posted 2 days ago
Job description
Job Summary:
ServiceNow is a global market leader in innovative AI-enhanced technology. The Senior Machine Learning Engineer will be responsible for building and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models, impacting the way customers experience AI.
Responsibilities:
• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering
Qualifications:
Required:
• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams
Company:
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions. Founded in 2004, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
ServiceNow is a global market leader in innovative AI-enhanced technology. The Senior Machine Learning Engineer will be responsible for building and optimizing scalable machine learning infrastructure to support training, evaluation, and deployment of large language models, impacting the way customers experience AI.
Responsibilities:
• Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models.
• Build abstractions to automate various steps in different ML workflows
• Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features
• Leverage your experience to drive best practices in ML and data engineering
Qualifications:
Required:
• 5+ years of industry experience in Machine Learning, Infrastructure or related fields
• Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM.
• Experience with building and scaling end-to-end machine learning systems
• Experience building scalable micro services and ETL pipelines
• Expertise in Python and experience with performant language such as C++ or GoLang
• Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field.
• A love of research publications in the machine learning and software engineering communities
• Effective communicator with experience collaborating cross-functionally with other teams
Company:
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions. Founded in 2004, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
About ServiceNow
Sourced by ZipRecruiter
At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you. With more than 7,400+ customers, we serve approximately 80% of the Fortune 500, and we're proud to be one of FORTUNE's 100 Best Companies to Work For® and World's Most Admired Companies® 2022.
Industry
It services
Company size
5,001 - 10,000 Employees
Headquarters location
Santa Clara, CA, US
Year founded
2004