Amazon's Artificial General Intelligence (AGI) team is seeking an exceptional Senior Machine Learning Engineer to spearhead the development of cutting-edge LLM training techniques and customization capabilities. This role presents a unique opportunity to work at the forefront of AI technology, specifically focusing on fine-tuning and distillation of large language models.
The position requires a seasoned professional with at least 5 years of software development experience and a strong background in machine learning. As a senior member of the team, you'll collaborate closely with Applied Scientists, leveraging Amazon's vast data resources and computing infrastructure to advance the state of multimodal Large Language Models and Generative AI solutions.
The team culture strongly emphasizes work-life balance, offering flexible working hours and a supportive environment that values knowledge sharing and mentorship. Senior team members engage in one-on-one mentoring and thorough code reviews, fostering an atmosphere of continuous learning and growth.
The compensation package is highly competitive, ranging from $151,300 to $261,500 per year based on geographic location, plus additional benefits including equity opportunities, sign-on payments, and comprehensive medical and financial benefits. The role offers the chance to work with cutting-edge AI technology while being part of a team that celebrates knowledge sharing and professional development.
Working in an Agile/Scrum environment, you'll be responsible for investigating design approaches, prototyping new technology, and evaluating technical feasibility. The ideal candidate should have experience leading design or architecture of systems, mentoring others, and delivering high-quality technology products in a fast-paced environment.
This role represents an excellent opportunity for a seasoned ML engineer looking to make significant contributions to the advancement of AI technology while working with one of the world's leading technology companies. The position offers both technical challenges and leadership opportunities, making it ideal for someone who wants to grow both their technical and professional skills.