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Sr. ML SDE, Amazon Games Growth

Job summary
Amazon is all in on games. We believe the evolution that began with arcade communities a quarter at a time, growing to the live streams and eSports of today, will continue to a future where everyone is a gamer and every gamer can create, compete, collaborate and connect with others at massive scales. If you share our belief that games will produce some of the future’s most influential voices in media and art, come join us.

At Amazon Games you’ll have the power of Amazon Web Services’ cloud, Twitch, Amazon Lumberyard, and our digital and physical media publishing infrastructure available as raw material to forge a future filled with amazing experiences for players and developers.

The mission of the Game Growth Intelligence team is to transform data into intelligence, delivering actionable insights at scale for game playing customers. We are a full-stack analytics, data science, and engineering team building machine learning applications to fuel data-driven decisions and enhance the customer experience through fraud prevention, personalization, and experimentation systems.

In this role as an Sr ML SDE, you will work closely with data scientists, business analysts and senior engineers on the team to craft simple yet scalable solutions to address the various compute needs of programmatic scientific solutions the Intelligence team develops for our partners.

Key job responsibilities
· Lead the end-to-end architecture and development of machine learning solutions enabling data scientists and business analysts to self-deploy AI models.
· Flex between abstract architecture and hands on development, onboard team members through knowledge sharing
· Collaborate with data scientists to create scalable data driven solutions for business problems
· Implement machine learning algorithms into services and pipelines to be consumed at scale
· Demonstrate progressive growth in career from building models, hands on work with data to building enabling systems and work flows.

About the team
Amazon Games applies the principles of Amazonian culture to the world of game design. We have a diverse team of talented, creative people pairing their love of making games with the unique strengths that come with being part of Amazon. Across all of our teams and locations, we are united by a common purpose: to share great gaming experiences with customers around the world. We believe in a future where everyone is a gamer and everyone can create, compete, collaborate and connect through games, and we are looking for the right people to help us build that future. With the power of Twitch and AWS at your fingertips, you will have the chance to innovate in gameplay, creativity, marketing, and technology, while working alongside some of the smartest and most creative minds in the industry.

We embrace our differences and are committed to furthering our culture of inclusion. We offer ten employee-led affinity groups with 190 global chapters, innovative benefits, and annual and ongoing learning experiences (including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences). Our team also puts a high value on work-life balance and offers flexible working hours. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. Additionally, our team is dedicated to supporting you with mentorship and pathways for ongoing development. We have a broad mix of experience levels and tenures, and are building an environment that celebrates knowledge sharing and promotes career choice.

Basic Qualifications

· Master’s degree in Computer science or equivalent core engineering or mathematical discipline (Phd a plus)
· Strong engineering background and 7+ years of experience with data infrastructure and/or distributed systems
· Experience architecting and developing AI and ML applications at scale

Preferred Qualifications

· Ability to think critically, question assumptions and devise solutions to challenging technical problems
· Self-starter, be relentless in execution and flushing out gaps in expectations
· Team player and clear communication skills
· Hands-on experience with one or more of the following: Python, Scala, Spark,Tensorflow, Keras, PyTorch

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.