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Hugging Face Jobs in Spring Valley, NY (NOW HIRING)

Haize Labs

Software Engineer Intern

New York, NY

$100K - $125K/yr

And we're backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more. Our core ...

Farsight

Senior Frontend Engineer

New York, NY · On-site

$140K - $180K/yr

Our team comes from leading financial institutions like Evercore, General Atlantic and Menlo Ventures, supercharged by scalable engineering and AI skills from companies including Amazon, Hugging Face ...

Haize Labs

Research Intern

New York, NY · On-site

$125K - $200K/yr

We've been fortunate enough to be backed by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit as well as rockstar AI and security executives from Stripe, Anduril ...

Haize Labs

Research Intern

New York, NY · On-site

$125K - $200K/yr

We've been fortunate enough to be backed by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit as well as rockstar AI and security executives from Stripe, Anduril ...

Palona AI

AI Modeling Engineer

New York, NY · On-site

Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems. * Practical experience with LLMs, speech models, multimodal models, or agentic ...

Palona AI

AI Modeling Engineer

New York, NY · On-site

Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems. * Practical experience with LLMs, speech models, multimodal models, or agentic ...

Farsight

Senior Platform Engineer

New York, NY · On-site

$140K - $180K/yr

Our team comes from leading financial institutions like Evercore, General Atlantic and Menlo Ventures, supercharged by scalable engineering and AI skills from companies including Amazon, Hugging Face ...

Palona AI

AI Modeling Engineer

New York, NY · On-site

Strong Python skills and experience with modern ML tooling such as PyTorch, JAX, Hugging Face, or equivalent systems. * Practical experience with LLMs, speech models, multimodal models, or agentic ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ · On-site

$160K - $200K/yr

Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face Requirements: * Work with current state of the art LLMs and embedding models * Experience building ...

Normal Computing

AI Engineer

New York, NY · On-site

$200K - $400K/yr

Proficiency in Python and modern ML frameworks (PyTorch, Hugging Face, transformers) * Hands-on experience with prompt engineering, fine-tuning, and deploying large language models * Ability to ...

Millennium Management LLC

AI Scientist

New York, NY · On-site

$175K - $250K/yr

Familiarity with LLM and AI application frameworks such as Hugging Face, LangChain, and LlamaIndex. * Experience working with at least one cloud platform, along with knowledge of vector databases ...

Ataraxis AI

Scientific Strategy, Oncology

New York, NY · On-site

$115K - $255K/yr

... Hugging Face, Perplexity). We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate ...

Ataraxis AI

Founding Fellow, New Indications

New York, NY · On-site

$115K - $255K/yr

... Hugging Face, Perplexity). We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate ...

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How much do hugging face jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for hugging face in Spring Valley, NY is $15.66, according to ZipRecruiter salary data. Most workers in this role earn between $13.17 and $18.51 per hour, depending on experience, location, and employer.

What is the difference between Hugging Face vs Machine Learning Engineer?

AspectHugging FaceMachine Learning Engineer
Required CredentialsTypically requires knowledge of NLP, deep learning, and Python; certifications are optionalRequires degrees in CS or related fields; experience with ML frameworks; certifications beneficial
Work EnvironmentCollaborative, research-focused, often in tech companies or startupsDevelopment, deployment, and optimization of ML models in various industries
Employer & Industry UsageUsed by AI/ML companies, research labs, and open-source communitiesEmployed across tech, finance, healthcare, and other sectors implementing ML solutions

Hugging Face primarily focuses on NLP tools, libraries, and open-source models, serving as a platform for AI research and development. Machine Learning Engineers develop, implement, and optimize ML models across various domains. While Hugging Face offers resources and tools that ML Engineers use, the roles differ: Hugging Face is a platform, whereas Machine Learning Engineer is a job role involving hands-on model development and deployment.

What cities near Spring Valley, NY are hiring for Hugging Face jobs?

Cities near Spring Valley, NY with the most Hugging Face job openings:

Hugging Face jobs near you
Infographic showing various Hugging Face job openings in Spring Valley, NY as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $32,579 per year, or $15.7 per hour.

Member of Technical Staff, Bayesian Statistics

Ataraxis AI

New York, NY • On-site

$100K - $300K/yr

Full-time

Posted 12 days ago

Job description

About Ataraxis AI
Ataraxis is a clinical AI research lab working at the intersection of multi-modal AI and precision medicine. Our goal is to make disease predictable. To accomplish this, we develop new AI methods that predict patient outcomes and treatment response, and build clinical tools to assist physicians in selecting the most optimal treatments for their patients.
Our AI research lab discovers and develops methods to recognize patterns and predict outcomes across complex, multi-modal clinical data. This spans our causality (Ataraxis™ Tau), foundation model (Falcon and Kestrel for digital pathology), and survival analysis research.
Our first clinical products, such as Ataraxis™ Breast for breast cancer, already help patients get the most appropriate treatment across the best academic institutions and community clinics worldwide.
At Ataraxis, you will have a unique opportunity to shape not only the future of our company, but also the future of healthcare. You will join an exceptional team at the forefront of clinical AI research and deployment. Our advisors include AI pioneers such as our founding advisor, Yann LeCun, and distinguished oncologists from top cancer research institutions, all united by the mission to redefine precision medicine.
Ataraxis has raised over $24 million in funding, including a $20 million Series A led by top venture capital funds such as Thiel Capital/Founders Fund (OpenAI, SpaceX, Palantir), Obvious Ventures (AMI Labs, Inceptive, Radical Numerics, Recursion), and AIX Ventures (Hugging Face, Perplexity).
We are an company with a flat organizational structure, where every team member is empowered to actively contribute. Leadership roles are earned by those who demonstrate initiative and consistently deliver exceptional results. Strong work ethic and the ability to prioritize ruthlessly are essential.
Responsibilities
  • Design and implement novel Bayesian statistics methods.
  • Translate machine learning papers into production-ready code.
  • Build robust model evaluation frameworks.
  • Disseminate the results by co-authoring research papers and abstracts.
  • Collaborate with a multidisciplinary team of engineers and scientists.
  • Co-mentor junior members of the team.
Qualifications
  • PhD degree in statistics or machine learning.
  • Excellent knowledge of Bayesian statistics, including Gaussian processes and Bayesian clinical trial design.
  • Passion for research, attention to detail and ability to drive tasks to completion. Strong preference will be given to candidates with papers in A* conferences (e.g. ICML, ICLR, NeurIPS, CVPR) or top-tier statistics journals.
  • Excellent understanding of core machine learning concepts.
  • Excellent knowledge of the foundations of statistics, linear algebra, probability and machine learning.
  • Excellent skills in Python and PyTorch.
  • Experience with applying Bayesian statistics to uncertainty quantification in deep learning and model explainability.
  • Experience in deep learning. Experience in self-supervised learning, survival analysis, multi-modal learning, domain adaptation, causal inference, model interpretability and computational pathology is a bonus.

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