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 ...
Cleared AI/ML Engineer
Chantilly, VA · On-site
$117K - $140K/yr
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Cleared AI/ML Engineer
Chantilly, VA · On-site
$117K - $140K/yr
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries or other equivalent state-of-the-art technology * Design and ...
Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries or other equivalent state-of-the-art technology * Design and ...
Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries or other equivalent state-of-the-art technology * Design and ...
Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries or other equivalent state-of-the-art technology * Design and ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$108K - $147K/yr
Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace). * Implement MLOps solutions including CI/CD for ML, model versioning, monitoring ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$108K - $147K/yr
Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace). * Implement MLOps solutions including CI/CD for ML, model versioning, monitoring ...
Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries or other equivalent state-of-the-art technology * Design and ...
Develop and maintain large-language model research tools for cybersecurity data using Python, Huggingface models, and Pytorch libraries or other equivalent state-of-the-art technology * Design and ...
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
Machine Learning Engineer II
Manhattan, NY · On-site
$150 - $200/hr
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques: Agentic Search, Prompt Engineering ...
Machine Learning Engineer II
Manhattan, NY · On-site
$150 - $200/hr
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques: Agentic Search, Prompt Engineering ...
Experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs. * Ability to act independently with proactive self-directed ...
Experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs. * Ability to act independently with proactive self-directed ...
Machine Learning Engineer II
New York, NY · On-site
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
Machine Learning Engineer II
New York, NY · On-site
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
Machine Learning Engineer II
New York, NY · On-site
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
Machine Learning Engineer II
New York, NY · On-site
ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...
Cleared AI/ML Engineer
Tampa, FL · On-site
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
Cleared AI/ML Engineer
Tampa, FL · On-site
Hands-on experience with any major deep learning framework and libraries (TensorFlow, TensorRT, PyTorch, or HuggingFace) * Hands-on experience with MLOps and CI/CD toolset including MLFlow, WandB ...
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
AI Solutions Engineer (Hybrid | Wash, DC)
Washington, DC · On-site
$150 - $200/hr
Build and deploy AI applications leveraging Claude 3.5+, HuggingFace models, and other foundation models. * Develop and maintain scalable and secure AI environments in AWS and Azure. * Prepare and ...
AI Solutions Engineer (Hybrid | Wash, DC)
Washington, DC · On-site
$150 - $200/hr
Build and deploy AI applications leveraging Claude 3.5+, HuggingFace models, and other foundation models. * Develop and maintain scalable and secure AI environments in AWS and Azure. * Prepare and ...
Senior GenAI Developer
Richmond, VA · On-site
$54 - $71.25/hr
Deploy machine learning models to platforms like Streamlit, HuggingFace Spaces, and Heroku. * Fine-tune and optimize open-source LLM/SLM. Required Qualifications Technical Skills: * Proven hands-on ...
Senior GenAI Developer
Richmond, VA · On-site
$54 - $71.25/hr
Deploy machine learning models to platforms like Streamlit, HuggingFace Spaces, and Heroku. * Fine-tune and optimize open-source LLM/SLM. Required Qualifications Technical Skills: * Proven hands-on ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$108K - $147K/yr
Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace). * Implement MLOps solutions including CI/CD for ML, model versioning, monitoring ...
Senior AI/ML & Data Engineer
Chantilly, VA · On-site
$108K - $147K/yr
Develop scalable ML pipelines using modern toolchains (SageMaker, Bedrock, Azure ML, Databricks, Ray, HuggingFace). * Implement MLOps solutions including CI/CD for ML, model versioning, monitoring ...
Actuarial and Data Science Model Validation
$108K - $162K/yr
Experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs. * Ability to act independently with proactive self-directed ...
Actuarial and Data Science Model Validation
$108K - $162K/yr
Experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs. * Ability to act independently with proactive self-directed ...
Member of Technical Staff, Infrastructure
San Francisco, CA · On-site
$125 - $150/hr
... Huggingface and key people from OpenAI, xAI and DoorDash. The Token Company trains machine learning models to compress raw LLM inputs before they are passed to the expensive LLMs. Our models are able ...
Member of Technical Staff, Infrastructure
San Francisco, CA · On-site
$125 - $150/hr
... Huggingface and key people from OpenAI, xAI and DoorDash. The Token Company trains machine learning models to compress raw LLM inputs before they are passed to the expensive LLMs. Our models are able ...
Huggingface information
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.
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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?
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Senior Machine Learning Engineer, Agentic Systems - Moveworks
Mountain View, CA • On-site
ServiceNow •
IT Services • 5 - 10K employees5,001 - 10,000 employees
Full-time
Re-posted 5 days ago
ServiceNow rating
8.3
Based on 10 frontline employees who took The Breakroom Quiz
99th of 247 rated software companies
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.
What ServiceNow employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
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