Member Of Technical Staff, Evals & Post-Training Product (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
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 AIβunderstanding 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.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β