ZipRecruiter

Log In

2

Remote Huggingface Jobs (NOW HIRING)

CircleCI

$157K - $196K/yr

Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity ... Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce ...

Higharc

Prototype Engineer

$36.50 - $41/hr

... HuggingFace), modern frontend frameworks (React/Next.js), CI/CD and testing frameworks A major plus ... Working at Higharc Higharc has been remote first since our founding in 2018. We offer flexible ...

Zillow

Machine Learning Engineer, Zillow Shopping AI

$138K - $220K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... huggingface (repository) * Expertise with large scale distributed data processing systems such as ...

Sayari

Senior Applied Scientist (Remote, US)

$185K - $200K/yr

Proficiency with HuggingFace, PyTorch, and at least one cloud ML platform. * Strong opinions about base model selection, held loosely-you can articulate tradeoffs between architectures. The target ...

Vultr

Strategic Technical Account Manager GPU

$115K - $140K/yr

... remote office setup in first year + $400 each following year Internet reimbursement up to $75 per ... PyTorch, TensorFlow, DeepSpeed, Megatron, JAX, Ray, Mosaic, HuggingFace, etc. * Advanced hands on ...

3Play Media

Senior Applied Data Scientist

Boston, MA · On-site +1

$150K - $180K/yr

Experience developing and maintaining custom deep learning models using pytorch and HuggingFace ... Remote -- United States Employment type: Full-time About 3Play Media 3Play Media is a technology ...

next page

Showing results 1-20

All JobsRemote Huggingface Jobs

Remote Huggingface information

What is the difference between Remote Huggingface vs Remote Machine Learning Engineer?

AspectRemote HuggingfaceRemote Machine Learning Engineer
CredentialsExperience with NLP, Python, and ML frameworks; familiarity with Huggingface librariesDegree in Computer Science or related field; experience with ML algorithms, Python, and cloud platforms
Work EnvironmentCollaborative, often project-based, with a focus on NLP and AI modelsDeveloping, testing, and deploying ML models across various domains, including NLP, CV, and more
Industry UsagePrimarily in AI/ML companies, research labs, and startups focusing on NLPAcross tech companies, startups, and research institutions working on machine learning solutions

Remote Huggingface roles focus on NLP and AI model development using Huggingface libraries, requiring specific NLP expertise. Remote Machine Learning Engineers have broader responsibilities across ML domains, with a wider skill set. Both roles are remote-friendly but differ in specialization and scope.

What are some common challenges faced by remote Huggingface engineers when collaborating with global teams?

Remote Huggingface engineers often collaborate with colleagues across multiple time zones, which can make scheduling meetings and ensuring real-time communication challenging. To overcome this, teams rely heavily on asynchronous communication tools, thorough documentation, and clear workflows. Another challenge is staying up to date with rapid developments in machine learning models and open-source contributions, requiring proactive engagement with the Huggingface community and internal knowledge-sharing sessions. Despite these hurdles, remote engineers typically benefit from a flexible work environment and access to a vibrant, supportive team.

What are the key skills and qualifications needed to thrive as a Remote Hugging Face Engineer, and why are they important?

To thrive as a Remote Hugging Face Engineer, you need a strong background in machine learning, deep learning frameworks, and proficiency in Python, often supported by a degree in computer science or related fields. Experience with Hugging Face Transformers, PyTorch or TensorFlow, and version control systems like Git is typically required. Excellent communication, self-motivation, and collaboration skills are essential for working effectively in a distributed team environment. These skills and qualities are crucial for building robust AI solutions, contributing to open-source projects, and ensuring project success in a remote setting.

What are Remote Huggingface jobs?

Remote Huggingface jobs are positions offered by Hugging Face, a company known for its open-source machine learning and natural language processing tools, that allow employees to work from anywhere outside of a traditional office setting. These roles can include engineering, research, product management, and other tech-related positions. Working remotely for Hugging Face gives employees flexibility while contributing to cutting-edge AI projects and collaborating with an international team using digital communication tools. Remote employees are typically expected to have reliable internet connections and be proactive in virtual collaboration. Hugging Face is committed to supporting remote work and fostering an inclusive, global workplace.
More about Remote Huggingface jobs
What cities are hiring for Remote Huggingface jobs? Cities with the most Remote 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 Remote Huggingface jobs? States with the most job openings for Remote Huggingface jobs include:
What job categories do people searching Remote Huggingface jobs look for? The top searched job categories for Remote Huggingface jobs are:
Remote Huggingface jobs near you
Infographic showing various Remote Huggingface job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 64% Part Time, 2% Temporary, 31% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.
Senior AI Workflow Engineers

Senior AI Workflow Engineers

BlueCross BlueShield of Tennessee

Chattanooga, TN • On-site, Remote

$95K - $130K/yr

Full-time

Posted 15 days ago

Job description

BlueCross BlueShield of Tennessee (a taxpaying, not-for-profit health plan) is recruiting top talent to help us accelerate responsible AI transformation across the enterprise. In these fully remote Senior AI Workflow Engineering roles, you'll design, build, and operationalize AI-enabled workflows to improve efficiency, scalability, and outcomes for 3.4 million members and communities we serve.
We're targeting candidates who bring expertise in AI and enterprise transformationto directly support business leaders across our company, including divisions like:
  • Legal
  • Commercial
  • Government Relations
  • Commercial Finance
  • BlueCare
  • Strategic Communications
  • Provider Network Management
  • + more

What We'll Be Excited to See:
  • Experience building practical, responsible AI workflows in a regulated industry (especially healthcare)
  • Expertise with AI-enabled workflows, automation, or system integration
  • Experience with generative AI, LLMs, and/or agent-based tools
  • Curiosity, a growth mindset, and comfort working in fast-moving, collaborative environments

Additional information on our AI Workflow Engineering opportunities:
  • These are full-time, fully remote positions with comprehensive benefits included.
  • Final interviews will take place in-person at our Chattanooga, TN headquarters.
  • We cannot currently hire candidates living in CA, NY, NJ, NH or MA.
  • Benefits begin the first date of employment.
  • Sponsorship is not available for these roles.
  • Exact title, leveling and offer details will be determined only after your interview (and are dependent on your individual skills, experience and interview performance).
  • We are not accepting unsolicited assistance from search firms for these employment opportunities.
  • Receiving an invitation to interview does not guarantee employment.

Below are the minimum qualifications to be considered for a Senior AI Workflow Engineering role:
Job Responsibilities
Process Discovery & Business Partnership
  • Partner with security and legal teams to ensure all AI solutions are compliant with healthcare regulations, including HIPAA, and align with internal data security and privacy policies.
  • Conduct qualitative and quantitative analysis to define clear business requirements and translate operational challenges into actionable workflow designs.

AI Workflow Design & Engineering
  • Architect and deploy AI-enabled workflows integrating internal systems, APIs, and third-party platforms.
  • Incorporate AI components such as LLM agents and retrieval pipelines.

Adoption, Training & Change Leadership
  • Present workflow solutions to stakeholders and lead training sessions.
  • Act as an evangelist for AI adoption across the enterprise and contribute to AI playbooks and operational standards.
  • Establish telemetry for performance, drift, and cost.
  • Troubleshoot issues and identify issues and opportunities to improve workflow efficiency and additional automation.

Job Qualifications
Education
  • Bachelor's degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master's or PhD degree is a plus

Experience
  • 4+ years software engineering experience including automation pipelines or an equivalent combination of education, training, and demonstrated skills.
  • Strong proficiency in Python; experience with cloud platforms.
  • Understanding of APIs, orchestration, and integration patterns.
  • Experience with Generative AI, LLM integration, or agent frameworks.
  • Strong communication and stakeholder-collaboration skills.

Skills/Certifications
  • Advanced proficiency in Python and associated AI/ML libraries and frameworks.
  • Deep experience with LLMs, NLP, and GenAI frameworks (LangChain, HuggingFace, LlamaIndex).
  • Familiarity with containerization (Docker, Kubernetes) and microservices architecture.
  • Basic analytical and problem-solving skills.
  • Good verbal and written communication skills. Ability to document work clearly.
  • Strong business acumen and ability to translate strategic priorities into technical requirements.
  • Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking.

Number of Openings Available
0
Worker Type:
Employee
Company:
Applying for this job indicates your acknowledgement and understanding of the following statements:
BCBST will recruit, hire, train and promote individuals in all job classifications without regard to race, religion, color, age, sex, national origin, citizenship, pregnancy, veteran status, sexual orientation, physical or mental disability, gender identity, or any other characteristic protected by applicable law.
Further information regarding BCBST's EEO Policies/Notices may be found by reviewing the following page:
BCBST's EEO Policies/Notices
BlueCross BlueShield of Tennessee is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at BlueCross BlueShield of Tennessee via-email, the Internet or any other method without a valid, written Direct Placement Agreement in place for this position from BlueCross BlueShield of Tennessee HR/Talent Acquisition will not be considered. No fee will be paid in the event the applicant is hired by BlueCross BlueShield of Tennessee as a result of the referral or through other means.

Apply