Software Dev Engineer (ML), AGI Foundations

Artificial General Intelligence (AGI) Fine Tuning Team

The Artificial General Intelligence (AGI) fine tuning team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to lead the development of industry-leading technology.

As a ML engineer with the AGI team, you will be responsible for leading the development of novel algorithms and techniques to advance the state of Large Language Model (LLM) training. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. You will collaborate closely with the Applied Scientists on LLM fine tuning experiments and prototypes to build training workflows.

Key job responsibilities include:

• Leading the development of novel algorithms and techniques to advance the state of Large Language Model (LLM) training.
• Leveraging Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions.
• Collaborating closely with the Applied Scientists on LLM fine tuning experiments and prototypes to build training workflows.

The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.

A day in the life includes:

• Working with other team engineers to investigate design approaches, prototype new technology, and evaluate technical feasibility.
• Working closely with Applied scientists to process data, scale machine learning models while optimizing.
• Working in an Agile/Scrum environment to deliver high quality software against tight schedules.

About the team:

Mentorship & Career Growth: Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Work/Life Balance: Our team puts a high value on work-life balance. We encourage you to find your own balance between your work and personal lives.