Applied Scientist, Amazon Live Data Engineering, Sciences and Analytics (DESA)

What you'll do

• Design causal attribution, lifecycle, and campaign optimization models; develop content intelligence, ranking, personalization, and predictive models.
• Design and run A/B experiments, and own model work from research framing through deployment, monitoring, and iteration.
• Present findings and methodology to senior leaders and partner teams, translating results into business decisions.

What they ask for

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Programming experience in Java, C++, Python or related language; experience with PyTorch or JAX, or with Machine Learning and Large Language Model fundamentals.
• Experience with A/B testing, large-scale distributed systems, and causal inference methods.

Nice to have

• Experience in digital advertising, video/image processing or computer vision, or marketing-focused work.
• Experience deploying models that influenced product decisions or business strategy; Amazon internal tools (Bedrock, SageMaker, Redshift, Cradle) are a plus.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

Java, C++, Python, PyTorch, JAX, Hadoop, Spark, Bedrock

AI focus

Build causal attribution and predictive models, multimodal and generative content intelligence models, and ranking and personalization features; deploy and monitor models in production.