Datadog05/29/2026
Старший прикладной учёный (Staff Applied Scientist) — интерфейсы на основе агентов
Salary not specified
MARKET
15,866 ₽median for this role
Data Scientist · 112 jobs with disclosed pay
5,000half of the offers: 12,695–20,39643,793
The employer didn't disclose pay — compare with the market yourself.
New York
Responsibilities
- 01Own the evaluation strategy for Datadog's AI agent integrations
- 02Define the metrics — offline and online, quality and cost, single-turn and trajectory-level — that the team and the broader organization optimize against
- 03Build the eval datasets, golden traces, and regression harnesses that catch quality changes before they hit customers, and make those assets reusable by every team contributing tools to the platform
- 04Drive measurable improvements to retrieval relevance, tool-selection accuracy, and context efficiency, partnering closely with the AI engineers on the team who build the underlying platform
- 05Run applied research on the open problems in agent–data interaction: tool selection under large catalogs, multi-turn agent evaluation, grounding and hallucination control on live telemetry, cost/quality tradeoffs at scale
- 06Partner with the Bits SRE, Bits Assistant, and Bits Dev Agent teams so first-party agents benefit from the same measurement substrate as third-party integrations, and so learnings move freely in both directions
- 07Provide technical leadership across the Agentic Interfaces team and the broader organization through design reviews, working groups, and mentorship, and represent the team externally through talks, blog posts, and contributions to the open agent ecosystem
Requirements
- 01You have a BS/MS/PhD in a scientific field, or equivalent experience
- 0210+ years of relevant engineering or applied science experience, including time as a technical lead
- 03Proven track record of leading ML or GenAI initiatives in a product-driven environment, from research through production
- 04Significant experience with evaluation, experimentation, or measurement of ML systems at scale
- 05You bring a strong product mindset and are comfortable driving initiatives across cross-functional teams
- 06You thrive in ambiguity and can make sound technical calls when the path isn’t yet defined
What we offer
- 01New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- 02Continuous professional development, product training, and career pathing
- 03An inclusive company culture, giving programs, and the ability to join our Community Guilds (Datadog employee resource groups)
- 04Competitive global benefits and global Spring Health benefits for employees and dependents age 6+
- 05#LI-Onsite
- 06Datadog offers a competitive salary and equity package, and may include variable compensation
- 07healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan
- 08The reasonably estimated yearly salary for this role at Datadog is: $276,000 — $345,000 USD