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Baseten
Baseten
11 – 50 Xodimlar
H1B vizasi homiysiKorxonaSaaSSun’iy intellekt
Baseten mashinaviy o‘rganish va sun’iy intellekt ilovalarini ishga tushiruvchi kompaniyalar uchun model inferensiyasi infratuzilmasini taqdim etadi. Uning platformasi yuqori o‘tkazuvchanlikdagi inferensiya, tezkor joriy etish, avtomatik masshtablash, xavfsiz korporativ model taqdimoti va ochiq kodli modellarni paketlashni qo‘llab-quvvatlashni birlashtirib, tez va masshtablanadigan xizmat ko‘rsatish uchun yaratilgan. Baseten muhandislik hamda mashinaviy o‘rganish jamoalariga model infratuzilmasining operatsion talablarini boshqarishda yordam beradi, shunda ular muayyan sohaga mos modellarni ishlab chiqishga e’tibor qaratishi mumkin. Kompaniya sun’iy intellekt, SaaS va korporativ texnologiyalar sohalarida faoliyat yuritadi, jamoasida 11–50 nafar xodim bor.
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Kompaniyadagi ish o‘rinlari

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.

USAmerika Qo‘shma Shtatlari
145 000 $ – 290 000 $ / yil
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaYechimlar muhandisi

Tavsif

  • 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

Talablar

  • 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

Imtiyozlar

  • 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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