Startup Community Manager – Systems & Experiences
Location
Washington + 1 moreAll locations: Washington, California
Posted
26 days ago
Salary
$205K - $1,650K / year
Job Description
Job Requirements
- You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it.
- You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases.
- You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers.
- You read papers and implement them — not for credit, but because it's how you stay sharp.
- You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon.
- It will be an added bonus if you have:
- Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development.
- Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray).
- Prior work at a cloud provider or AI infrastructure company.
- You've shared technical work publicly — notebooks, talks, blog posts that people actually use.
- Who thrives here
- You'll thrive here if you're energized by variety — one day deep in a customer's MLOps stack, the next building a demo from scratch. You want your technical depth to influence product decisions, not just close deals.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- A dynamic and collaborative work environment that values initiative and innovation.
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