Description

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:

• You will lead a group of high-caliber engineers to develop a range of systems supporting the experimentation, training, evaluation, and deployment machine learning models.

• You will work closely with science, product, operations, and other partner engineering teams and manage rapidly evolving science and product requirements.

• You will be responsible for shaping the strategy and roadmap of your team.

• You will own the people management of the team including recruiting, growing engineering talent, and performance management.

Basic Qualifications

• 5+ years of engineering experience

• 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

• Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment

• 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

• 5+ years of engineering team management experience

• 10+ years of engineering experience

• Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers

• 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.