The Artificial General Intelligence (AGI) team at Amazon is seeking a talented ML Engineer to join their innovative team. This role combines software engineering expertise with machine learning specialization, focusing on advancing the state of Large Language Models (LLMs).
The position offers an exciting opportunity to work on cutting-edge AI technology, specifically in developing customization capabilities, fine-tuning techniques, and model distillation. You'll be at the forefront of LLM development, working with Amazon's vast computing resources and diverse data sources to push the boundaries of what's possible in AI.
The team culture emphasizes knowledge sharing, mentorship, and work-life balance. Senior team members provide one-on-one mentoring and thorough code reviews, creating an environment where engineers can grow and develop their skills. The team supports flexible working hours and maintains a healthy balance between professional and personal life.
As an ML Engineer, you'll collaborate closely with Applied Scientists, leveraging Amazon's extensive infrastructure to develop multimodal Large Language Models and Generative AI solutions. The role requires exceptional technical expertise in both Computer Science and Machine Learning, with opportunities to work on large-scale AI products that impact millions of users.
The ideal candidate should be passionate about AI innovation, have strong communication skills, and thrive in a fast-paced environment. You'll be part of a team that values continuous learning, innovation, and technical excellence. The role offers the chance to work on challenging problems in AI while contributing to the development of next-generation language models and AI systems.
This position is perfect for someone who wants to be at the intersection of software engineering and machine learning, working on problems that push the boundaries of current AI technology. You'll have the opportunity to influence the direction of AI development at one of the world's leading technology companies while working with a supportive team that prioritizes both technical excellence and personal growth.