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Huggingface Jobs (NOW HIRING)

Advisor - Agent Research

Boston, MA · On-site

$150 - $200/hr

Python; deep learning frameworks (PyTorch/TensorFlow/JAX/HuggingFace). * RL and post-training methods (PPO/GRPO/DPO, reward modeling, RLHF/RLAIF) and libraries (e.g., TRL/verl). * Experience with ...

... PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.). * 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production. * 4 to 6 years of strong ...

... HuggingFace, etc.) • Demonstration of autonomy and entrepreneurial spirit (side projects, previous companies) Preferred : • Proficiency in AWS, cloud deployment, CI/CD • Usage of React 19 ...

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 ...

Showing results 21-40

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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Infographic showing various Huggingface job openings in the United States as of September 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Advisor - Agent Research

Boston, MA • On-site

Scorpion Therapeutics
51 - 200 employees

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

Responsibilities
  • Partner with scientists to build autonomous agents for molecule discovery.
  • Design and build reinforcement learning (RL) environments for real discovery tasks (state/action/termination semantics).
  • Curate and engineer reward functions from noisy scientific signals.
  • Post-train domain models (SFT, DPO/GRPO/PPO, reward modeling, distillation) for chemistry/biology tasks.
  • Integrate learned policies with domain tools (e.g., RDKit, molecular graph ML, ELN/LIMS APIs, instrument drivers) to execute DMTA tasks.
  • Build evaluation infrastructure: task suites, scoring harnesses, regression tracking, and experiment tracking (e.g., MLflow).
Basic Qualifications
  • PhD (or MS + 3 yrs / BS + 5 yrs) in ML, Bioinformatics, Cheminformatics, Computer Science, or related field, with demonstrated wet-lab collaboration/hands-on experience.
  • 1–2 years applying AI/ML to scientific domains (biology, chemistry, neuroscience, etc.).
  • Hands-on experience training or post-training AI models.
Additional Preferences (Preferred)
  • Python; deep learning frameworks (PyTorch/TensorFlow/JAX/HuggingFace).
  • RL and post-training methods (PPO/GRPO/DPO, reward modeling, RLHF/RLAIF) and libraries (e.g., TRL/verl).
  • Experience with agentic AI systems; end-to-end cloud systems; AWS/Azure pipeline knowledge (Nextflow, Argo/Kubernetes).
  • Publications/research contributions; mentoring experience.
Compensation/Benefits
  • Anticipated wage: $151,500–$222,200.
  • Eligible for company bonus and comprehensive benefits (e.g., 401(k), medical/dental/vision, flexible benefits, life insurance, time off, well-being benefits).
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