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Huggingface Jobs in Summit, NJ (NOW HIRING)

Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), * Solid understanding of cloud-based infrastructure (AWS, GCP ...

Senior AI Engineer

New York, NY · On-site

$114K - $157K/yr

Experience with modern AI frameworks (eg HuggingFace, LangChain, etc.) and designing data pipelines (Airflow, Dagster, or equivalent), * Solid understanding of cloud-based infrastructure (AWS, GCP ...

HuggingFace's API, OpenAI's API; * Implementing Python code for data analysis, automation, API integration, and machine learning pipeline development, including libraries like Pandas, NLTK, Scikit ...

HuggingFace's API, OpenAI's API; * Implementing Python code for data analysis, automation, API integration, and machine learning pipeline development, including libraries like Pandas, NLTK, Scikit ...

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 ...

... HuggingFace) - Common application and infrastructure security vulnerabilities and mitigations (OWASP Top 10, CWE 25) - Source code and DevOps management tools (e.g., Github, Bitbucket) - SaaS and ...

Machine Learning Engineer

New York, NY · On-site

$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 ...

Software Engineer

New York, NY · On-site

$137K - $185K/yr

ML: PyTorch, HuggingFace, ONNX Runtime, LangChain * Infrastructure: AWS, Kubernetes, Redis, Postgres, S3, Terraform * DevOps & Observability: GitHub Actions, Datadog, Grafana, Prometheus We do not ...

Senior Applied AI ML Engineer

Jersey City, NJ · On-site

$114K - $157K/yr

Experience with one or more ML frameworks - Pytorch, Tensorflow, SciKit, NeMo, Huggingface Transformers * Hands-on experience with AWS services, and Databricks * Experience/Exposure to SQL, NoSQL and ...

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.

Infographic showing various Huggingface job openings in Summit, NJ as of September 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Senior Software Engineer, Onsite Customer Growth

New York, NY • On-site

$170K - $230K/yr

Full-time

Re-posted 19 days ago


Key responsibilities

  • Design, build, and evolve scalable backend services, APIs, and user-facing product capabilities that power Attentive's onsite growth products

  • Lead technical design for new features and platform improvements, making thoughtful tradeoffs around reliability, performance, maintainability, and speed of execution

  • Partner closely with product, design, AI, and data teams to develop intelligent, data-driven capabilities that improve performance and user experience for customers and end users


Job description

About the Role

The Onsite Customer Growth team develops features that help Attentive's customers grow through personalized experiences built directly on their websites. We focus on increasing list growth through investments in creative capabilities, experimentation, and AI-driven optimization. Our team builds the systems and product experiences that power onsite engagement for millions of users and help brands convert more visitors into subscribers and customers.

We're looking for a Senior Software Engineer to help lead the design and development of the products and platform capabilities behind Attentive's onsite growth experiences. This role can be oriented toward backend or full-stack engineering, depending on your strengths, but in either case you'll be expected to own meaningful technical decisions, build scalable systems, and collaborate closely with product, design, data, and AI partners to deliver high-impact customer outcomes.

This hybrid role is based in our New York office, with in-office collaboration Tuesday through Thursday each week.

What You'll Accomplish

  • Design, build, and evolve scalable backend services, APIs, and user-facing product capabilities that power Attentive's onsite growth products
  • Lead technical design for new features and platform improvements, making thoughtful tradeoffs around reliability, performance, maintainability, and speed of execution
  • Partner closely with product, design, AI, and data teams to develop intelligent, data-driven capabilities that improve performance and user experience for customers and end users
  • Anticipate future product and platform needs, and proactively design solutions that support team growth, product expansion, and increasing scale
  • Improve system observability, resiliency, and performance to ensure our onsite experiences remain fast, reliable, and effective at scale
  • Serve as a technical leader on the team by driving design discussions, raising the engineering bar in code reviews, and mentoring other engineers
  • Contribute to a strong engineering culture through high-quality implementation, pragmatic architecture, and a focus on measurable customer impact

Your Expertise

  • 5+ years of professional software engineering experience, ideally with strong experience building backend systems, product platforms, or customer-facing applications at scale
  • Strong proficiency in at least one modern programming language such as Java, or TypeScript
  • Experience designing and operating distributed systems, APIs, and microservices, with a solid understanding of reliability, scalability, and performance
  • For backend candidates: deep experience building service-oriented systems and data-intensive applications
  • For full-stack candidates: strong backend fundamentals plus experience building high-quality frontend applications and collaborating closely on end-user experience
  • Experience with cloud infrastructure and modern developer tooling, such as AWS, Docker, Kubernetes, relational databases, caching systems, queues, or streaming platforms
  • Ability to translate business goals and product ideas into clear technical plans and execute effectively across functions
  • A track record of writing clean, maintainable, well-tested code and holding a high bar for production quality
  • Curiosity, strong collaboration skills, and a passion for building products that drive meaningful customer growth

What We Use

  • Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
  • Our infrastructure runs primarily in Kubernetes hosted in AWS's EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
  • Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
  • 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 competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

  • The US base salary range for this full-time position is $170,000 - $230,000 annually + equity + benefits
  • Our salary ranges are determined by role, level and location

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