Sr. MLE, Prime Video ML Platform

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Apple, Best Practices, Distributed Computing, Documentaries, Film, Leading Edge Technology, Machine Learning, Mentoring, Operational Strategy, Product Engineering, Rapid Prototyping, Rentals, Software Development, Software Engineering, Sports, Strategic Planning, Team Building, Technical Leadership, Technical Strategy, Video Production
LOCATION
Seattle, WA
POSTED
6 days ago

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

We are looking for a self-motivated, passionate and resourceful Senior Software Development Engineer to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will be a technical leader helping to design and build the ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML platform solutions from the ground up. You will not only write high-quality, maintainable code, but also mentor other engineers, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video"s operations more efficient and will set the technical foundation for years to come.

Key job responsibilities

  • Building ML platform services with Tier-1 availability and performance characteristics while enabling rapid model iteration and experimentation for scientists.
  • Evolving the model serving and feature delivery infrastructure to enable continuous experimentation and keep pace with innovations in state-of-the-art ML capabilities.
  • Designing and scaling training pipelines, real-time inference systems, and feature stores that support the constantly evolving landscape of Prime Video personalization across Movies, TV Shows, Live Sports, Linear TV, and beyond.
  • Leading and partnering on developing the strategic technical vision for the PV ML Platform, including model lifecycle management, online/offline evaluation, and serving optimization.
  • Partnering with Scientists, Product Managers, and Engineering stakeholders to translate research breakthroughs into production-grade platform capabilities.

A day in the life

As Sr. SDE, you will be technical lead of an engineering team building the ML platform that powers personalization solutions at incredible scale and speed. You will be operating with state of the art technologies in distributed systems and machine learning infrastructure. You will foster a culture of innovation and excellence, leading and growing talented junior engineers on your team and around PV. At the end of the day, you will have the reward of seeing your platform enable ML models that delight PV customers worldwide (including yourself!)

About the team

This team is at the heart of PV personalization, building the ML platform that enables scientists and engineers to rapidly develop, deploy, and iterate on models that understand customers" preferences based on their past engagement, current context, and other signals. We power the infrastructure behind video discovery experiences across PV, operating in a complex business/tech space that requires us to move at speed and support rapid prototyping and experimentation.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles