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Huggingface Jobs (NOW HIRING)

S&P Global, Inc.

Machine Learning Engineer II

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...

Brightstar Lottery

AI Engineer

Roma, TX

  • Medical

  • Life

  • Retirement

  • PTO

Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like LangChain, HuggingFace Transformers, or OpenAI API. * Design prompt templates and implement retrieval strategies to increase ...

Accenture Federal Services

AI/ML Engineer

Tampa, FL · Hybrid

Proficiency with ML and DL frameworks (PyTorch, TensorFlow, HuggingFace). * Solid understanding of algorithms, data structures, APIs, and distributed systems. * Experience with cloud platforms (AWS ...

Accenture LLP

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 ...

S&P Global

Machine Learning Engineer II

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

ML: PyTorch, Transformers, HuggingFace, LangChain * Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM * Techniques : Agentic Search, Prompt Engineering ...

FOCUSPOINT

AI Engineer

Nashville, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

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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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.

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:

Huggingface jobs near you
Infographic showing various Huggingface job openings in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Machine Learning Engineer II

S&P Global, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.
At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful.
The DRIVE Team at Kensho is focused on designing and deploying production-grade machine learning systems that power our next-generation agentic search pipelines. We specialize in building robust retrieval systems, scalable embedding infrastructure, and tightly integrated LLM pipelines that leverage unstructured data sources.
Our mission is to make complex unstructured data easily discoverable and actionable by building intelligent, retrieval-driven systems that enhance enterprise search, question answering, deep research, report generation, and knowledge discovery experiences across S&P Global platforms.
We are seeking a mid-level Machine Learning Engineer to help develop and scale RAG systems across the company. This is a hands-on, full-lifecycle ML role with a strong emphasis on retrieval models, LLM orchestration, and system-level thinking.
Kensho states that the anticipated base salary range for the position is 140k - 180k. In addition, this role is eligible for an annual incentive bonus and equity plans. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
What You'll Do:
  • Design and implement end-to-end RAG pipelines that integrate proprietary chunking algorithms, embedding models, vector databases, and data retrieval agents
  • Build and optimize retrieval systems over large-scale proprietary datasets using advanced embedding techniques
  • Develop LLM-based solutions that orchestrate retrieval, generation, and ranking to deliver high-quality, context-aware responses
  • Investigate and solve challenges in vector search, chunking and indexing strategies, unstructured data retrieval evaluation, and GraphRAG
  • Work closely with Product and Design teams to build ML-based solutions that enhance user experiences and meet business objectives
  • Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation

Who You'll Need:
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing, including designing, shipping, and maintaining production systems
  • Strong programming skills in Python, with a working knowledge of data processing tools and ML frameworks such as PyTorch, Transformers, and HuggingFace
  • Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain, LLamaIndex, etc.
  • Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation.
  • Experience working with vector databases (e.g., PostgreSQL/PGVector, OpenSearch, Pinecone) and understanding of similarity search techniques and vector indexing algorithms
  • Demonstrated effective coding, documentation, collaboration, and communication habits
  • Strong problem-solving skills and a proactive approach to addressing challenges
  • Ability to adapt to a fast-paced and dynamic work environment

Technologies We Love:
  • ML: PyTorch, Transformers, HuggingFace, LangChain
  • Tools/Toolkits: Claude Code, Weights & Biases, OpenSearch, PostgreSQL/PGVector, LiteLLM
  • Techniques: Agentic Search, Prompt Engineering, Information Retrieval, Data Embedding, AI agent evaluation
  • Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS, Github Action

At Kensho, we pride ourselves on providing top-of-market benefits, including:
  • Medical, Dental, and Vision insurance
  • 100% company paid premiums
  • Unlimited Paid Time Off
  • 26 weeks of 100% paid Parental Leave (paternity and maternity)
  • 401(k) plan with 6% employer matching
  • Generous company matching on donations to non-profit charities
  • Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences
  • Plentiful snacks, drinks, and regularly catered lunches
  • Dog-friendly office (CAM office)
  • Bike sharing program memberships
  • Compassion leave and elder care leave
  • Mentoring and additional learning opportunities
  • Opportunity to expand professional network and participate in conferences and events

Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

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