Amazon's AGI Finetuning organization is seeking a talented Machine Learning Engineer to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems. This role combines the scale of Amazon with the energy of a startup environment, focusing on designing, building, and maintaining systems for evaluating best-in-class models.
The position offers a unique opportunity to work at the cutting edge of AGI technology, collaborating closely with Applied Scientists to develop tools that support modeling and evaluation teams. The role requires strong software development skills and the ability to work in a fast-paced, dynamic environment.
As part of the AGI Finetuning team, you'll be responsible for developing and maintaining critical evaluation tools, working with product teams and scientists to create new techniques around emerging research capabilities, and managing project priorities and deliverables. The role involves significant collaboration with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility.
The compensation is highly competitive, ranging from $129,300 to $223,600 based on location and experience, with additional benefits including equity, sign-on payments, and comprehensive medical coverage. The position offers the opportunity to work in major tech hubs including Seattle, Bellevue, Sunnyvale, and New York.
This role is perfect for someone who has a learner's mindset, enjoys solving challenging problems, and values an inclusive team culture. The team consists of passionate engineers and scientists dedicated to pushing the boundaries of innovation while maintaining a strong focus on customer perspective through accurate benchmarking.
The ideal candidate will bring 3+ years of professional software development experience, strong system design capabilities, and a track record of delivering high-quality software. This is an excellent opportunity to join a team at the forefront of AGI development while working for one of the world's most innovative companies.