Baseten
Baseten
Baseten oferă infrastructură pentru inferența modelelor destinată companiilor care implementează aplicații de învățare automată și inteligență artificială. Platforma sa este concepută pentru servirea rapidă și scalabilă a modelelor, combinând inferența cu debit mare, implementarea rapidă, scalarea automată, servirea securizată a modelelor pentru companii și suportul pentru împachetarea modelelor open-source. Baseten ajută echipele de inginerie și învățare automată să gestioneze cerințele operaționale ale infrastructurii pentru modele, astfel încât să se poată concentra pe dezvoltarea unor modele specifice domeniului. Compania activează în domeniile inteligenței artificiale, software-ului ca serviciu și tehnologiei pentru întreprinderi și are o echipă de 11–50 de angajați.

Solutions Architect – AI/ML Inference, Remote United States

Join Baseten as a Solutions Architect helping customers turn AI/ML requirements into production-ready inference deployments and proofs of concept. Work with Sales and Engineering on discovery, demos, benchmarking, architecture, and technical delivery.

Descriere

  • Collaborate with Sales during customer discovery calls
  • Lead demonstrations and technical scoping around success criteria, architecture, and deployment plans
  • Own benchmarking and repeatable deployments for LLMs, embeddings, image and video generation, and Voice AI
  • Guide customers through GPU and inference configuration choices, including H100 versus B200 selection and latency-versus-throughput optimization
  • Develop repeatable deployment playbooks for common models and use cases
  • Build deep practical expertise in vLLM, SGLang, TRT-LLM, and their typical configurations and tradeoffs
  • Define proofs of concept and coordinate stakeholders on timelines, deliverables, and next steps
  • Manage customer proofs of concept as the technical project lead
  • Engage Forward Deployed Engineering when projects require deeper or more complex technical support

Cerințe

  • Background in AI/ML with the credibility to discuss technical topics with customer stakeholders
  • Strong customer-facing communication skills, including structured discovery and the ability to resolve ambiguous requirements
  • Technical expertise sufficient to scope solutions without writing production code
  • Ability to script and prototype when needed, with comfort using rapid coding workflows
  • Experience conducting or supporting benchmarks for machine learning inference deployments
  • Understanding of infrastructure decisions affecting inference performance and cost, including GPU selection and latency-versus-throughput tuning
  • Experience leading customer proofs of concept across Sales and Engineering as a cross-functional technical owner

Beneficii

  • Competitive compensation with meaningful equity
  • For U.S. employees and dependents, full medical, dental, and vision insurance coverage
  • Flexible paid time off with a company-wide Winter Break
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • For U.S. employees, a company-facilitated 401(k) plan
  • Opportunities to work with diverse ML startups and expand learning and professional networks

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