DESCRIPTION

Want to help develop the next generation of search and intelligent assistant products? Join us! We are looking for a talented Software Development manager to help us develop state-of-the-art, next generation web search capabilities within Amazon AGI.

What will you do? You will lead a multidisciplinary team to develop solutions across multiple programs (text search, image search, local information, etc.) to: (i) build and automate training data generation: You will own the development of high-quality training data sets for our web information retrieval and ranking models, having direct and significant impact on our search quality. You will help improve the data quality, including mining for hard negatives, incorporating several dimensions of quality (e.g. relevance, content freshness, page trustworthiness, etc.), as well as scale the pipeline to billions of examples. You will work with stakeholders to address their specific modeling needs and develop and own metrics to communicate your progress on data quality and scale. (ii) accelerate experimental velocity: develop leveraged systems to enable the team to experiment faster. This includes measuring the entire lifecycle of an experiment (from ideation, acquiring data, setting up infra to train, debugging model, running evaluations, deploying into production), identifying painpoints and developing solutions to address them. (iii) improve system understandability: develop advanced analytics and automate failure space analysis processes to help the team debug and understand search quality issues. You will partner with the broader AGI analytics team to coordinate metrics for our information retrieval engine with user signals or downstream dependencies to debug across systems as well.

Key job responsibilities
* Hire and develop the best. You will help grow and develop a team of scientists and engineers, growing their careers and empowering them to achieve amazing things.
* Set a vision for your team and create product roadmaps. Help your team identify technical and product requirements and opportunities. Use project management and prioritization skills to balance long and short-term goals and deliver on your product roadmap.
* Keep your technical skills current to contribute to architecture and design discussions. Lead your team to evolve and scale our service architecture.
* Drive continual improvements: Set and iteratively improve team processes and mechanisms to make sure the right things get prioritized and work gets done efficiently.

A day in the life
A mix of helping the team design systems for building and managing training data, working with the team to deep dive into data quality issues, working with stakeholders to understand their requirements, improving efficiency in our software development processes, career coaching and mentorship, communicating status updates to leadership about progress and challenges, and collaborating with sister teams.

About the team
Our team is a mix of applied scientists and engineers building a scalable, state-of-the-art web information retrieval system supporting several of customers within AGI (including Alexa). Our members are geographically distributed across 3 continents, but we’re highly collaborative.

BASIC QUALIFICATIONS

– 3+ years of engineering team management experience
– 7+ years of working directly within engineering teams experience
– 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems 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 partnering with product or program management teams
– Experience delivering products against plan in a fast-paced, multi-disciplined, distributed-responsibility and often ambiguous environment

PREFERRED QUALIFICATIONS

– Experience managing a team of high calibre Software Engineers developing complex, world class, scalable software systems that have been successfully delivered to customers
– Experience developing, deploying, and operating machine learning systems into production

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.

USA, MA, Boston