Senior Applied Scientist — AI for Ads at Planet Scale

Amazon; Arlington (VA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Ads is seeking a senior ML scientist to advance generative AI, LLMs, and real-world advertising applications at planet-scale. You will research and deploy end-to-end models, design experiments, and collaborate with engineers, PMs, and scientists to drive impact for advertisers and customers.

You’ll build scalable ML pipelines, balance customer experience with monetization, and move models from concept to production while tackling challenging, multi-domain problems across NLP, vision, and

Qualifications

• 5+ years building ML models for real business applications.
• PhD, or Master’s degree + 6 years of applied research experience.
• Strong programming in Python, Java, C++, or similar.

Responsibilities

• Research and build next-gen ML solutions including generative AI and LLMs.
• Own end-to-end projects from messy problems to production models.
• Design experiments to validate hypotheses and measure business impact.
• Build models balancing customer and advertiser needs while improving metrics.
• Collaborate with engineers, PMs, and scientists to ship fast.

Skills

Machine learning

Python

Java

C++

Education

PhD

Master's degree

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

Amazon Ads is seeking a senior ML scientist to advance generative AI, LLMs, and real-world advertising applications at planet-scale. You will research and deploy end-to-end models, design experiments, and collaborate with engineers, PMs, and scientists to drive impact for advertisers and customers.

You’ll build scalable ML pipelines, balance customer experience with monetization, and move models from concept to production while tackling challenging, multi-domain problems across NLP, vision, and