Senior Data Scientist, Trust Sensitive Content & Intelligence

Senior Data Scientist, Trust Sensitive Content & Intelligence

Job ID: ADCI - BLR 14 SEZ - F07

Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers' experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team builds services and tools through Machine Learning techniques to implement our policies to detect and mitigate sensitive content across Alexa.

We are looking for a passionate, talented, and inventive Senior Data Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring deep learning and generative models knowledge. You will be a Tech Lead for a team of exceptional Data Scientists working in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other data scientists while understanding the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement.

You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other data scientists and applied scientists to design and implement principled strategies for data optimization.

Key job responsibilities
A Senior Data Scientist should have a good understanding of NLP models (e.g., LSTM, LLMs, other transformer based models) or CV models (e.g., CNN, AlexNet, ResNet, GANs, ViT) and how best to retrain them to improve performance. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building and improving large-scale distributed systems to create reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.

You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.

A day in the life
You will be working with a group of talented scientists on running experiments to test scientific proposals/solutions to improve our sensitive content detection and mitigation for worldwide coverage. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, model development, and solution implementation. You will mentor other scientists, review and guide their work, and help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.

About the team
The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term "sensitive content" includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term "content" refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.

BASIC QUALIFICATIONS

- 5+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
- Experience working with scientists, economists, software developers, or product managers

PREFERRED QUALIFICATIONS

- 3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team

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