Senior Applied Scientist: AI for Ads & ML Innovations

Amazon Inc.; Boston (MA); On-site; USD 150,000 - 260,000; 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 Applied Scientist to push the boundaries of ML, including generative AI and large language models, at massive scale. You will ideate, research, and implement innovative ML solutions across ranking, personalization, NLP, CV, and recommender systems.

You will collaborate with engineers, product managers, and other scientists to productionize models, run rigorous experiments, and influence business strategy.

Qualifications

• 5+ years of building ML models for business applications.
• PhD or Master's with 6+ years of applied research.
• Proficient in Java, C++, Python.

Responsibilities

• Research and implement cutting-edge ML approaches including generative AI and LLMs.
• Develop and deploy innovative ML solutions spanning multiple disciplines.
• Drive end-to-end projects at massive scale with petabytes of data.
• Build ML models and deploy into production with cross-functional teams.
• Design and run A/B experiments to validate hypotheses and measure impact.

Skills

5+ years ML experience

Java/C++/Python

Neural networks

Large language models

Education

PhD or MS + 6+ years

Tools

Hadoop

Spark

TensorFlow

MXNet

scikit-learn

Job description

Amazon Ads is seeking a Senior Applied Scientist to push the boundaries of ML, including generative AI and large language models, at massive scale. You will ideate, research, and implement innovative ML solutions across ranking, personalization, NLP, CV, and recommender systems.

You will collaborate with engineers, product managers, and other scientists to productionize models, run rigorous experiments, and influence business strategy.