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Huggingface Jobs in Summit, NJ (NOW HIRING)

White Circle

SDR

New York, NY · On-site

$70K - $90K/yr

We've raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others * We process over 100M+ API calls every month * We ...

Central Business Solutions

ML Engineer

Manhattan, NY · On-site

... HuggingFace LLMs. · Experience with data pipeline and workflow orchestration tools (e.g., Airflow) Who This Role is Not For: Candidates whose primary background is MLOps platform work (DAG ...

Attentive

Senior Machine Learning Engineer

New York, NY · 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 ...

Garner Health

Senior Applied Scientist

New York, NY

$236K - $260K/yr

Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume - bring your judgment. This is a unique ...

White Circle

Founding Account Executive

New York, NY · On-site

$140K - $180K/yr

We've raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others * We process over 100M+ API calls every month * We ...

Garner Health

Staff Applied Scientist

New York, NY

$260K - $382K/yr

Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume - bring your judgment. Why this role ...

Scale AI

Staff Frontier Agents Engineer

Manhattan, NY · On-site

... HuggingFace, OpenAI API) • Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure • Strong problem-solving skills with the ability to navigate ambiguous requirements ...

Good Inside

Senior Machine Learning Engineer

New York, NY · Hybrid

$205K - $235K/yr

Hands-on experience integrating ML APIs and services (e.g., OpenAI, Anthropic, ElevenLabs, HuggingFace, AWS SageMaker, or similar) * Proficiency in Python and/or another backend language (Go, Java ...

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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.

Huggingface jobs near you
Infographic showing various Huggingface job openings in Summit, NJ as of July 2026, with employment types broken down into 1% Internship, 95% Full Time, 3% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Quantitative Research Intern (NLP)

Quantitative Research Intern (NLP)

Point72

New York, NY

Other

Posted 12 days ago

Job description

ROLE/RESPONSIBILTIES:

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals, from data processing to performance testing.

The ideal candidate will have strong machine learning, data science and software engineering skills, some experience with modern NLP, and a curiosity about finance and trading.

Responsibilities may include:

  • Using NLP to construct features from varied datasets
  • Formulating research hypotheses to derive alpha
  • Building and testing the performance of trading signals based on NLP and financial features
  • Launching identified signals into production

REQUIREMENTS:

  • Bachelor's, Master's or PhD candidate in computer science or other quantitative discipline
  • Proficient in Python and general software engineering principles (github, testing, dev workflow)
  • Strong understanding of machine learning and statistics
  • Prior research experience preferred
  • Experience with deep learning, specifically NLP (PyTorch, HuggingFace, LLMs, etc.) preferred
  • Data science stack familiarity preferred
  • An interest in financial markets
  • Great attitude
  • A collaborative mindset
  • Commitment to the highest ethical standards

ABOUT POINT72:

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth.

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