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Limitless High-tech career opportunities - Expoint

Amazon Machine Learning SDE-II Compass 
United States, Massachusetts 
612963047

20.11.2024
DESCRIPTION

Key job responsibilities
* Lead, design and support the development of novel ML systems, product integrations, and performance optimizations
Design, develop, integrate, troubleshoot, optimize, test and lead the development of software which control and optimizes robotic fulfillment centers at very large scale
* Prototype and test concepts or features, both through simulation tools and emulators and with live robotic equipment
* Collaborate closely with the research organization, principal applied scientists and software engineers to bring research to production
* Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations
* Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organizationA day in the life1. 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
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
- 2+ years of experience in object-oriented programming and modern programming languages (C, C++, Java, Kotlin, Python)


PREFERRED QUALIFICATIONS

- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- ML data management, creating training datasets, building and training machine learning infrastructure, model deployment, ML infrastructure monitoring and maintenance, familiarity with architectural choices for ML systems.
- Bachelors, masters or PhD in Computer Science or equivalent experience in ML