Software Development Engineer, ALexa AI Domains (AIDo) Full-time

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.

Interested in Machine Learning and AI? Our team’s mission is to make machine learning easy, stronger, and universal in the world of Natural Language and Speech. . You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will be solving difficult non-deterministic workflows, work with highly scaled systems, and build technological frameworks/systems that keeps raising the bar on quality.

This role is in a team that is building a family of AI-enabling services. This team is considered strategic and has visibility with Amazon leadership at the highest levels. The role offers a chance to build and launch new AI services from the ground up, learn the state of the art in machine learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders. AI/ML background is preferred but not required.

Key job responsibilities

As a SDE, you will be responsible for designing, developing, testing, and deploying distributed AI-enabling services and large-scale solutions for our world-wide customer base. In this, you will collaborate closely with a team of scientists and engineers to influence our overall strategy and define the team’s road map. A successful candidate will have a background in engineering large scale software systems, a strong technical ability, great communication skills, and a motivation to achieve results in a fast paced environment.

Infrastructure Management:

* Collaborate with Science teams to optimize infrastructure for machine learning workloads.

* Manage and monitor machine learning infrastructure, ensuring high availability and performance.

Monitoring and Logging:

* Implement robust monitoring and logging solutions for tracking performance and system health.

* Respond to alerts and troubleshoot issues related to service deployment and infrastructure.

Security and Compliance:

* Implement security best practices for machine learning systems.

* Ensure compliance with data protection and privacy regulations.

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

PREFERRED QUALIFICATIONS

– 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

– Bachelor’s degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.