Sr. Machine Learning Engineer, Amazon General Intelligence (AGI)

Amazon; Seattle (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking team at an industry leader, where you'll unleash your creativity as a Senior Machine Learning Engineer. This role offers a chance to work on groundbreaking algorithms and modeling techniques for multi-modal and multi-lingual Large Language Models. You'll leverage cutting-edge hardware and vast data resources to create innovative products that transform customer experiences. With a strong emphasis on collaboration and best practices in an Agile environment, your contributions will shape the future of Generative AI at Amazon. If you're passionate about pushing the boundaries of technology and making a real-world impact, this is the opportunity for you.

Qualifications

• 5+ years of software development experience with a focus on machine learning.
• Experience leading design and architecture of complex systems.

Responsibilities

• Lead the development of algorithms for large model training.
• Collaborate with scientists to optimize machine learning models.

Skills

Software Development

Machine Learning

Generative AI

Algorithm Design

Data Processing

Agile/Scrum

Education

Bachelor's degree in Computer Science

Tools

NVIDIA GPUs

AWS Trainium

Job description

Sr. Machine Learning Engineer, Amazon General Intelligence (AGI)

Job ID: 2870539 | Amazon.com Services LLC

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Sr. Software Development Engineer(Sr. SDE)/Machine Learning Engineer(MLE) to play a pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language Models (LLM). As our Sr. SDE/MLE superstar, you'll have the power to lead the charge in developing mind-blowing algorithms and modeling techniques that will push the boundaries of large model training using cutting-edge hardware like GPUs and AWS Trainium. Your groundbreaking work will directly impact our customers' lives through game-changing products and services powered by your Generative AI breakthroughs!

Key job responsibilities:

1. Ability to quickly learn cutting-edge technologies and algorithms in the field of Generative AI to participate in our journey to build the best LLMs.
2. Responsible for the development and maintenance of key platforms needed for developing, evaluating, and deploying LLM for real-world applications.
3. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
4. Work closely with Applied scientists to process massive data, scale machine learning models while optimizing.

A day in the life:

As a Sr. SDE/MLE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art of large model training using hardware like NVIDIA GPUs. Your work will directly impact our customers in the form of products and services that make use of Generative AI innovations. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and other Generative Artificial Intelligence (Gen AI) applications. As a key player in our team, you'll have a significant influence on our overall strategy, shaping the future direction of AGI at Amazon. You'll be the driving force behind our system architecture and the champion of best practices that will ensure an unparalleled infrastructure of the highest quality. Work in an Agile/Scrum environment to move fast and deliver high quality software.

BASIC QUALIFICATIONS

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

PREFERRED QUALIFICATIONS

- 5+ 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.