Senior AI Scientist — Agent Evaluation & Experimentation

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 167,000 - 226,000; Full time

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Sr. Applied Scientist in DTx Science to lead agent evaluation, experimentation, and impact measurement across the advertiser experience.

You will apply ML and AI methods, mentor junior scientists, and drive collaborations with cross‑functional teams to deliver scalable, science‑driven improvements. The role emphasizes state‑of‑the‑art techniques, from generative AI to reinforcement learning and causal inference, with strong communication to business stakeholders and a focus

Qualifications

• 3+ years building ML models for business applications.
• PhD or MS with 6+ years applied research experience.
• Proficient in Java, C++, or Python.
• Experience with neural networks and ML methods.

Responsibilities

• Lead development of agent evaluation, impact measurement, experimentation, and advertiser experience.
• Tackle high-ambiguity projects and align science and engineering solutions.
• Adopt state‑of‑the‑art ML techniques (generative AI, RL, causal inference) to improve solutions.
• Translate complex challenges into actionable business outcomes.
• Mentor junior scientists and foster collaboration across teams.
• Engage with the scientific community through talks and publications.

Skills

ML model building

Programming (Java/C++/Python)

Deep learning

Stakeholder communication

Education

PhD or MS + 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

numpy

scipy

Job description

Amazon is seeking a Sr. Applied Scientist in DTx Science to lead agent evaluation, experimentation, and impact measurement across the advertiser experience.

You will apply ML and AI methods, mentor junior scientists, and drive collaborations with cross‑functional teams to deliver scalable, science‑driven improvements. The role emphasizes state‑of‑the‑art techniques, from generative AI to reinforcement learning and causal inference, with strong communication to business stakeholders and a focus