Amazon is hiring: Software Development Manager, Amazon in Seattle

Job ID: 2824357 | Amazon.com Services LLC

Stores Foundational AI (SFAI) provides foundational models for other Amazon teams, including the Large Language Model (LLM) powering the Amazon Rufus conversational shopping product. We enable teams to improve shopping on Amazon using the capabilities of representative and generative models. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.

Key Job Responsibilities

As a Software Development Manager in SFAI:

1. You will lead a group of high-caliber engineers to develop a range of systems supporting the experimentation, training, evaluation, and deployment of machine learning models.
2. You will work closely with science, product, operations, and other partner engineering teams and manage rapidly evolving science and product requirements.
3. You will be responsible for shaping the strategy and roadmap of your team.
4. You will own the people management of the team including recruiting, growing engineering talent, and performance management.

BASIC QUALIFICATIONS

1. 5+ years of engineering experience
2. Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
3. Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment
4. Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

PREFERRED QUALIFICATIONS

1. 5+ years of engineering team management experience
2. 10+ years of engineering experience
3. Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers
4. Experience in designing machine learning pipelines, managing large scale machine learning operations, developing large language model or natural language understanding models.

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.

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