Senior Applied Scientist – Personalization at Scale in Ads

Amazon; New York (NY); On-site; USD 183,800 - 248,700; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Senior Applied Scientist for Prime Video Ads in New York. You will lead the development of machine learning models to personalize advertising for over 100 million customers. You will collaborate with engineering and product teams to design experiments and ensure production quality.

This role requires a strong background with ML models, especially in neural networks, and experience in programming languages like Java, C++, and Python. Amazon offers a competitive salary and benefits.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Lead the research and development of ML models for 100M+ customers.
• Develop deep learning architectures for customer behavior prediction.
• Design and analyze large-scale A/B experiments for ad strategies.
• Partner with engineering to ensure models meet production requirements.
• Collaborate with product managers to translate findings into decisions.

Skills

Machine learning models

Programming in Java, C++, Python

Neural deep learning methods

Education

PhD or Master's degree and 6+ years of applied research experience

Tools

Hadoop

Spark

PyTorch

JAX

Job description

Amazon is seeking a Senior Applied Scientist for Prime Video Ads in New York. You will lead the development of machine learning models to personalize advertising for over 100 million customers. You will collaborate with engineering and product teams to design experiments and ensure production quality.

This role requires a strong background with ML models, especially in neural networks, and experience in programming languages like Java, C++, and Python. Amazon offers a competitive salary and benefits.