Manager, ML Solutions Architecture

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $228 000 - $285 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 20%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Nebius Group

Site WebLinkedInTous les Emplois

1001 - 5000 employés

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Le groupe Nebius construit l’une des principales entreprises d’infrastructure AI au monde, en se concentrant sur la fourniture de la puissance de calcul, du stockage et des outils nécessaires aux développeurs dans le domaine de l’AI. Basée en Europe et cotée au Nasdaq, Nebius dispose d’une présence mondiale avec des centres de R&D en Europe, en Amérique du Nord et en Israël. L’offre principale de l’entreprise est une plateforme cloud centrée sur l’AI, conçue pour des workloads AI intensifs, complétée par diverses autres activités impliquées dans le développement de l’AI générative, l’edtech et les technologies autonomes.

Description

• Lead a US regional team of 4 Solutions Architects, with continued growth planned • Conduct 1:1s, goal setting, performance reviews, promotion cases, and individual growth plans • Allocate accounts and engagements based on each SA's expertise and interests • Surface blockers early and coordinate with development, product, and business teams to resolve them • Hold team members accountable for delivery outcomes and reflect performance in ratings and compensation decisions • Onboard new joiners through their first independently delivered engagement • Coach Solutions Architects and determine readiness for expanded scope • Own team delivery outcomes, including PoC-to-endpoint time, success-criteria hit rate, and post-production technical relationship quality • Review benchmarking methodology, serving configurations, results, and closure documents before customer delivery • Ensure staffing and escalation coverage across accounts and timezones • Identify infeasibility early with supporting evidence • Maintain and extend documentation, runbooks, guides, onboarding materials, definitions of done, and closure templates • Ensure documentation is used and keep the ticket tracker as the system of record • Define and report delivery speed and reliability metrics • Translate recurring customer pain into prioritized platform work with development and research teams • Manage the scoping-to-execution boundary with pre-sales • Coordinate production handoffs and post-sales technical requests with account management • Report account health, technical feasibility, and capacity needs to business and leadership • Report to the Head of Solutions Architecture and partner with a peer manager in the other region • Deliver PoCs and post-sales technical support for Nebius Token Factory, a serverless platform for running and customizing open-source LLMs in production

🎯 Exigences

• 3+ years managing technical teams, including performance management and difficult conversations • Experience managing a customer-facing team • Strong ML knowledge: LLM architectures, SFT/LoRA/RL-based fine-tuning, evaluation design, inference internals, quantization, KV-cache management, batching, routing, speculative decoding, vLLM, SGLang, and TensorRT-LLM • Technical judgment to review benchmarks and identify methodological flaws • Python strong enough to read and review the team's code • Excellent communication skills for explaining technical concepts to diverse audiences, including enterprise customers under pressure • Tolerance for operational work: documentation, process design, reporting, and follow-through • Comfort operating with ambiguity across distributed teams and timezones • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Preferred technical stack includes Python; vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs; Kubernetes, Docker, Git; AWS, GCP, and Azure ML platforms

🏖️ Avantages

• Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams