Senior AI Scientist, SPB Agent

Amazon Science; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science, in New York, USA, seeks a senior ML engineer to advance generative AI-driven advertising technologies within the SPB Agent team. You will design and optimize ML models, collaborate with cross‑functional partners, and contribute to scalable AI solutions across Ads Console, Seller Central, and internal systems.

The role requires 3+ years of ML experience, strong coding in Java/C++/Python, and familiarity with deep learning and distributed systems.

Qualifications

• 3+ years of building machine learning models for business applications.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.
• Preferred: modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
• Preferred: large scale distributed systems such as Hadoop, Spark.

Skills

ML models

Programming (Java/C++/Python)

Deep learning

Education

PhD or MS with 6+ yrs

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon Science, in New York, USA, seeks a senior ML engineer to advance generative AI-driven advertising technologies within the SPB Agent team. You will design and optimize ML models, collaborate with cross‑functional partners, and contribute to scalable AI solutions across Ads Console, Seller Central, and internal systems.

The role requires 3+ years of ML experience, strong coding in Java/C++/Python, and familiarity with deep learning and distributed systems.