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4 дня назад

Member Of Technical Staff, Evals & Post-Training Product (AI)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle/senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR

Member of Technical Staff, Evals & Post-Training Product (AI): Building products and workflows that connect evaluation and post-training into a continuous loop with an accent on product engineering, developer experience, and model quality. Focus on enabling external developers through our open-source Eval Protocol SDK and owning key product experiences for fine-tuning custom models.

Location: San Mateo, CA

Company

Fireworks is building the future of generative AI infrastructure, delivering high-quality models with fast and scalable inference.

What you will do

  • Build internal eval workflows to measure model quality and inform post-training decisions.
  • Own user-facing product workflows for post-training, including fine-tuning experiences across SFT, RFT, and related model-improvement capabilities.
  • Partner with customers and internal stakeholders to understand evaluation and fine-tuning needs.
  • Support high-priority engagements, triage issues, and convert bespoke workflows into productized solutions.

Requirements

  • 1 - 7 years of software engineering experience.
  • Hands-on experience with LLM evaluations and/or post-training methods.
  • Product Engineering Skills: The ability to work across backend systems and developer-facing product surfaces.
  • Understanding of the GenAI Lifecycle.
  • User-Centric Mindset: Willing to talk to users, triage GitHub issues for open-source projects, and build products from scratch to serve emerging needs.

Nice to have

  • 3+ years of software engineering experience.
  • Strong familiarity with designing and running evaluations for domain-specific use cases.
  • Prior contributions to developer tools or AI/ML repositories.
  • Interest in the hardware side of AIβ€”understanding GPU constraints, inference optimization techniques, and how they relate to model performance.
  • Experience in fast-paced environments where you own features end-to-end.

Culture & Benefits

  • Solve hard problems at the forefront of AI infrastructure.
  • Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
  • Join a fast-growing, passionate team where your work directly shapes the future of AI.
  • Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’