Expoint - all jobs in one place

The point where experts and best companies meet

Limitless High-tech career opportunities - Expoint

Amazon Manager Applied Science Alexa Sensitive Content Intelligence ASCI 
India, Karnataka, Bengaluru 
43526457

05.08.2024
DESCRIPTION

Key job responsibilities
A day in the life
You will be working with a group of talented scientists as well as stakeholder from different functional areas (e.g. product, engineering) on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.

BASIC QUALIFICATIONS

- 2+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 5+ years of building machine learning models or developing algorithms for business application experience


PREFERRED QUALIFICATIONS

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 3+ years of scientists or machine learning engineers management experience
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs