Sr. Machine Learning Engineer, AGIF | Finetuning

Amazon • Bellevue, WA

3d

About The Position

Are you interested in a unique opportunity to advance the accuracy and efficiency of Artificial General Intelligence (AGI) systems? If so, you're at the right place! We are the AGI Finetuning organization, and we are looking for a driven and talented SDE to join us. As an SDE on our team, you will design, build, and maintain systems for evaluating our best-in-class models. You’ll also work closely with our Applied Scientists to develop tools that support our modeling and evaluation team. We operate at Amazon's large scale with the energy of a nimble start-up. If you have a learner's mindset, enjoy solving challenging problems, and value an inclusive team culture, you will thrive in this role, and we hope to hear from you. We are passionate engineers and scientists dedicated to pushing the boundaries of innovation. We evaluate and represent the customer perspective through accurate benchmarking.

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)

Responsibilities

• Develop and maintain key tooling for model evaluation.
• Work closely with product teams, and scientists to to create new techniques and tooling around emerging research capabilities and evaluating models to meet customer needs.
• Manage project prioritization, deliverables, timelines, and stakeholder communication.
• Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
• Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility.
• Operate in a dynamic environment to deliver high quality software.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees