Amazon's Artificial General Intelligence (AGI) Team is at the forefront of advancing generative AI technologies, focusing on developing multimodal Large Language Models. This role offers an exciting opportunity to join a cutting-edge team working on responsible AI advancement. As a Machine Learning Engineer, you'll be instrumental in building scalable, resilient, and high-performance training systems and infrastructure.
The position involves close collaboration with data scientists and research teams to productionize ML models, requiring expertise in both machine learning fundamentals and software engineering. You'll be responsible for designing and implementing sophisticated ML model serving infrastructure, developing efficient data processing pipelines, and ensuring high-throughput, low-latency entity resolution predictions in production environments.
This role is ideal for someone who combines strong technical skills with collaborative abilities, as you'll work closely with various teams to integrate entity resolution capabilities across different product surfaces. The position offers competitive compensation ranging from $129,300 to $223,600 per year, depending on location and experience, plus comprehensive benefits.
Amazon's commitment to diversity and inclusion makes it an excellent workplace for innovation and growth. The role provides opportunities to work with cutting-edge technology while contributing to one of the world's most advanced AI initiatives. You'll be part of a team that's shaping the future of AI technology while maintaining responsible development practices.