Data Scientist (AI, Edge Computing)

TL;DR

Data Scientist (AI, Edge Computing): Building and evaluating industry-leading training datasets and benchmarks for multimodal language models on edge devices with an accent on data collection design, synthetic annotation, and model gap analysis. Focus on advancing evaluation methods and enhancing model capabilities for product use cases through close hardware-software integration.

Company

Amazon Devices is an inventive research and development company designing high-profile devices like Echo, Fire Tablets, and Fire TV, focusing on advanced Edge AI.

What you will do

• Collaborate with cross-functional teams to advance multimodal model evaluations for devices.
• Design data collection and annotation projects to curate novel, high-quality datasets.
• Curate high-quality publicly available datasets and develop synthetic annotation/generation methods to scale datasets.
• Analyze large offline and online datasets to understand model gaps and interpret model failures.
• Work closely with scientists and engineers to enhance model capabilities for product use cases and advance evaluation methods.

Requirements

• Master's degree or above in computer science, mathematics, statistics, machine learning, or equivalent quantitative field.
• Experience in an ML or data scientist role with a large technology company.
• Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, or Matlab).
• Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
• Experience applying theoretical models in an applied environment.

Nice to have

• Experience diving into data to discover hidden patterns and conducting error/deviation analysis.
• Experience developing experimental and analytic plans for data modeling processes, using strong baselines.
• Experience implementing algorithms using both toolkits and self-developed code.
• Experience working with large language models and/or vision-language models.

Culture & Benefits

• Amazon is an equal opportunities employer, believing a diverse workforce is central to success.
• Recruiting decisions are based on experience and skills, valuing passion to discover, invent, simplify, and build.
• Protecting candidate privacy and data security is a top priority.
• Accommodations and adjustments for disabilities are provided during the application and hiring process.