Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace ... Enjoy a flexible, remote-first global environment. * 401(k) retirement plan 100% company match on ...
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Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace ... Enjoy a flexible, remote-first global environment. * 401(k) retirement plan 100% company match on ...
Remote Huggingface information
What is the difference between Remote Huggingface vs Remote Machine Learning Engineer?
| Aspect | Remote Huggingface | Remote Machine Learning Engineer |
|---|---|---|
| Credentials | Experience with NLP, Python, and ML frameworks; familiarity with Huggingface libraries | Degree in Computer Science or related field; experience with ML algorithms, Python, and cloud platforms |
| Work Environment | Collaborative, often project-based, with a focus on NLP and AI models | Developing, testing, and deploying ML models across various domains, including NLP, CV, and more |
| Industry Usage | Primarily in AI/ML companies, research labs, and startups focusing on NLP | Across 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 Portland, OR? For Remote Huggingface jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Huggingface jobs in Portland, OR look for? The top searched job categories for Remote Huggingface jobs in Portland, OR are:
Full-time
Medical, Dental, Vision, Retirement
Posted 10 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.
Cast AI Technical Account Management
As a Technical Account Manager, you will be the technical leader and trusted advisor for your assigned accounts, independently managing complexity across enterprise Kubernetes environments and building the deep, long-term relationships that drive real outcomes. This is a high-impact role at a fast-growing company where your work will be visible from day one.
A Glimpse into the Customer Success Team
Our customer-obsessed technical account management team is dedicated to delivering world-class assistance to our clients. They are the bridge between our customers and the wider Cast AI organization, representing the customer's voice to Cast AI and the voice of Cast AI to the customer. The team ensures that our customers are successful in their use of our platform.
Requirements:- Minimum of 2-3 years hands-on experience working with Kubernetes
- CKAD and/or CKA certification(s) is an immense advantage
- Minimum of 2 years of professional experience in cloud computing, focusing on major platforms like AWS, Azure, or GCP
- Strong problem-solving skills and technical acumen. It would help you navigate complex technical environments and develop solutions that align with client needs
- Excellent communication skills, both written and verbal. You must be able to articulate technical concepts clearly and understandably to various audiences, including those who may need a technical background
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Foundational knowledge is crucial for understanding the complex technical aspects of our product
- Technical Leadership - Be the trusted technical advisor and first point of escalation for your customers, orchestrating resources to drive customer delight
- Customer Onboarding - Lead technical onboarding, ensuring all clusters are connected to Cast AI within 90 days, working closely with DevOps engineers and SREs
- Renewals & Growth - Drive renewals and account expansion in partnership with Account Managers through continuous, proactive value delivery
- FinOps Business Reviews - Lead monthly and quarterly business reviews (remote and in-person), showcasing cost savings, automation wins, and new product capabilities
- 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.
- 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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About CAST AI
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Miami, FL, US
Year founded
2019