
Principal ML Solutions Architect
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Company in Remote - United States"), this listing's salary midpoint is about 923% higher. The offer sits above the benchmark range (€1,667–€2,153). The offer's range width is broadly in line with the benchmark. This benchmark is based on 3 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - United States | €1,667/per month | €10,711/per month | €17,242/per month |
| Company in Remote - United States | €1,667/per month | €1,910/per month | €2,153/per month |
| From job ad (Executive) | €17,333/per month | €19,542/per month | €21,750/per month |
The role sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory enables serverless inference and fine-tuning (LoRA, full FT, RFT) with in-house optimizations like speculative decoding, quantization, cache-aware routing, and dedicated endpoints. You will be the primary technical voice shaping the platform roadmap and you will mentor other Solutions Architects. Responsibilities include owning the most complex customer engagements from architecture to production, optimizing LLM inference at framework and hardware levels, leading fine-tuning efforts, designing production-ready LLM solutions, advising on prompt engineering and cost-performance trade-offs, and partnering with product and research teams to surface customer needs and drive platform features. You will guide customers from PoC to production with a focus on performance, reliability, and cost efficiency.
Job Details
Responsibilities
- Own the most complex, high-stakes customer engagements from architecture through production
- Optimize LLM inference at framework and hardware level
- Lead supervised and reinforcement fine-tuning efforts
- Design production-ready LLM solutions
- Provide deep technical expertise in prompt engineering and RAG architectures
- Partner with product, engineering and research to surface customer needs and shape roadmap
- Mentor Senior and mid-level Solutions Architects
- Represent Token Factory externally through talks and publications
Requirements
- 8+ years of ML/AI systems experience
- 4+ years focusing on LLMs and generative AI
- Strong Python programming
- Excellent communication skills
Skills & Technologies
Benefits & Perks
Recruitment Process
- 1Apply
- 2Screening
- 3Interview
- 4Offer

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