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Amazon Machine Learning Engineer 
United States, Washington, Seattle 
592533610

01.12.2024
DESCRIPTION

Key job responsibilities
In this role, you will:- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.A day in the life
Benefits summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

BASIC QUALIFICATIONS

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
- 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing


PREFERRED QUALIFICATIONS

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
- Practical experience in solving complex problems in an applied environment
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2
- Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Comfortable working in a fast paced, highly collaborative, dynamic work environment