Staff Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Applied Scientist (AI): Building and evaluating an AI-native control surface for observability dashboards with an accent on measurement systems, tool-selection accuracy, and retrieval relevance. Focus on developing end-to-end evaluation strategies for non-deterministic agents and ensuring system quality at scale.
Location: Hybrid in New York, New York, USA
Salary: $276,000 — $345,000 USD
Company
is a leading observability and security platform that provides unified visibility across the technology stack to manage complexity at scale using AI.
What you will do
- Own the evaluation strategy for Dashboards and sister teams, defining offline and online quality and cost metrics.
- Build evaluation datasets, golden traces, and regression harnesses to detect quality changes before production.
- Drive measurable improvements to retrieval relevance, tool-selection accuracy, and context efficiency.
- Provide technical leadership through design reviews, working groups, and mentorship across the organization.
Requirements
- BS/MS/PhD in a scientific field or equivalent experience.
- 10+ years of relevant engineering or applied science experience, including time as a technical lead.
- Proven track record of leading ML or GenAI initiatives from research through production in a product-driven environment.
- Significant experience with evaluation, experimentation, or measurement of ML systems at scale.
- Strong product mindset and ability to drive initiatives across cross-functional teams.
- Must be based in New York, USA to support the hybrid office culture.
Culture & Benefits
- Competitive salary and equity package, including RSUs and an employee stock purchase plan (ESPP).
- Comprehensive healthcare, dental, parental planning, and mental health benefits.
- 401(k) plan and match.
- Continuous professional development, product training, and clear career pathing.
- Inclusive company culture with Community Guilds and various giving programs.
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