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Remote Huggingface Jobs in Minnesota (NOW HIRING)

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.
What are popular job titles related to Remote Huggingface jobs in Minnesota? For Remote Huggingface jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Huggingface jobs in Minnesota look for? The top searched job categories for Remote Huggingface jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Huggingface jobs? Cities in Minnesota with the most Remote Huggingface job openings:
Account Executive | Southeast | Midwest

Account Executive | Southeast | Midwest

Cast AI

Minneapolis, MN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 2 days ago


Job description

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

As an Enterprise Account Executive at Cast AI, you are an entrepreneurial enterprise sales professional experienced in selling cloud SaaS in the following or adjacent industries: Cloud Infrastructure, Cloud Cost Control, Cloud Security, and DevOps tools. As we continue our rapid global expansion, we are looking for goals and people-oriented Account Executives to join the team and maximize the phenomenal market opportunity that exists for Cast AI.

Requirements:
  • Location: candidates must be based in Southeast or Midwest area.
  • Proven experience in Opportunity Assessment, Value Discovery, Value Demonstration, and Value Delivery.
  • 10+ years of experience as an Account Executive in the enterprise segment
  • 4+ years of experience working with MEDDPICC or any sales qualification methodology
  • Proven ability to navigate complex, multi-threaded deals involving CTOs, VP Engineering, and FinOps leaders simultaneously. Must be comfortable running executive business reviews, leading technical discovery, and building champions across IT, Finance, and Procurement.
  • Ability to translate complex technical products (cloud infrastructure, DevOps, platform engineering) into clear business ROI narratives. Must be adept at building business cases, ROI calculators, and executive-level proposals tailored to each account's cloud spend and engineering maturity.
  • Strong collaboration with Sales Engineering, Customer Success, and Marketing to drive deals forward. Requires rigorous pipeline hygiene - accurate forecasting and CRM discipline - with the ability to present pipeline reviews confidently to leadership.
  • Ability to identify key contacts, understand client needs, and tailor proposals to address those needs - Demonstrated success in negotiation and closing, with a commitment to long-term customer satisfaction
  • Outbound Obsession
  • Experience with Kubernetes, sales lifecycle, and Cloud space is a significant plus
  • Brings solutions, not problems - we're in build mode, so we need partners/collaborators that want to help build excellence in the Americas GTM
Responsibilities:
  • Absolute ownership to build and source sustainable pipeline coverage.
  • Conducting Opportunity Assessments to pinpoint viable, high quality opportunities.
  • Engaging in Value Discovery to align our solutions with client needs and demonstrating the unique value of our offerings effectively.
  • Ensuring Value Delivery through meticulous implementation and results measurement.
  • Map, navigate and establish key stakeholder alignment.
  • Exhibiting high attention to detail throughout the sales process to confidently close and forecast to plan.
What's in it for you?
  • Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology.
  • Enjoy a flexible, remote-first global environment.
  • 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment).
  • Access UnitedHealthcare plans including medical, dental, and vision coverage.
  • Equity options.
  • Learning budget for your professional and personal growth.
  • Team-building budget and company events to connect with your colleagues.
  • Equipment budget to ensure you have everything you need.
Hiring process
  • Screening call with Recruiter
  • Hiring Manager interview
  • 1-2 additional interviews based on the role
  • Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

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