Software Development Engineer (ML), AGIF | Finetuning

Software Development Engineer (ML), AGIF | Finetuning

Job ID: 2726003 | Amazon.com Services LLC

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 generating, appraising, and processing data to power world-class general-purpose intelligence. You will also collaborate closely with the Applied Scientists on our team on modeling experiments and prototypes.

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.

Key job responsibilities

1. Develop and maintain key components for data generation, appraisal, and processing.
2. Manage project prioritization, deliverables, timelines, and stakeholder communication.
3. Illuminate trade-offs, educate the team on best practices, and influence technical strategy.
4. Collaborate closely with Applied Scientists to investigate and plan experiments, prototype new technology, and evaluate technical feasibility.
5. Operate in a dynamic environment to deliver high quality software against aggressive schedules.

BASIC QUALIFICATIONS

1. 3+ years of non-internship professional software development experience
2. 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
3. Experience programming with at least one software programming language
4. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

PREFERRED QUALIFICATIONS

1. Bachelor's degree in computer science or equivalent
2. Experience designing, developing, and optimizing machine learning or data processing systems at scale

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Posted: September 29, 2024