Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 3
Cloud Computing @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources customers need to solve real-world challenges and transform industries without massive infrastructure costs or the need to build large in-house AI/ML teams. Employees work at the cutting edge of AI cloud infrastructure alongside experienced and innovative leaders and engineers.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team includes over 1400 employees and more than 400 engineers with expertise across hardware and software engineering and an in-house AI R&D team. You are welcome to work remotely from the United States.
Responsibilities
- Help developers discover, adopt, and use Token Factory for inference use cases.
- Build demos and examples that show performance, cost, and reliability tradeoffs.
- Run hands-on workshops and present at developer events and conferences.
- Gather direct feedback from builders and bring it back to product and engineering.
- Work with marketing to share real developer stories and use cases.
Requirements
- Strong understanding of AI developers and typical building patterns.
- Comfortable writing code, reviewing examples, and troubleshooting issues.
- Able to explain complex systems clearly to technical and non-technical audiences.
- Curious, practical, and opinionated about how developers actually work.
Preferred / Bonus
- Experience with inference platforms or model serving.
Benefits
Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries, ranging from $165k - $250k OTE (On-Target-Earnings) plus equity based on your experience.