Senior Applied Scientist, Delivery Foundation Model

Amazon.com Inc

Santa Clara, CA

JOB DETAILS
SKILLS
Artificial Intelligence (AI), Data Modeling, Data Sets, Deep Learning, Delivery Driving, Leadership, Logistics, Machine Tool, Mentoring, Multitasking, Order Delivery, Performance Analysis, Performance Modeling, Problem Solving Skills, Production Systems, Prototyping, Safety/Work Safety, Scalable System Development, Spatial Data, Training/Teaching, Use Cases
LOCATION
Santa Clara, CA
POSTED
30+ days ago

Join the next science and engineering revolution at Amazons Delivery Foundation Model team, where youll work alongside world-class scientists and engineers to pioneer the next frontier of logistics through advanced AI and foundation models.

We are seeking an exceptional Senior Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages worldwide. In this role, youll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazons vast data and computational resources to tackle ambitious problems across a diverse set of Amazon delivery use cases.

Key job responsibilities:

  • Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data.
  • Solve computational problems to train foundation models on vast amounts of Amazon data and infer at Amazon scale, taking advantage of latest developments in hardware and deep learning libraries.
  • As a foundation model developer, collaborate with multiple science and engineering teams to help build adaptations that power use cases across Amazon Last Mile deliveries, improving experience and safety of a delivery driver, an Amazon customer, and improving efficiency of Amazon delivery network.
  • Guide technical direction for specific research initiatives, ensuring robust performance in production environments.
  • Mentor fellow scientists while maintaining strong individual technical contributions.

A Day in the Life As a member of the Delivery Foundation Model team, you'll spend your day on the following:

  • Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure.
  • Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning.
  • Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference.
  • Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems.
  • Drive technical discussions within the team and and key stakeholders.
  • Conduct experiments and prototype new ideas.
  • Mentor team members while maintaining significant hands-on contribution to technical solutions.

About the Team The Delivery Foundation Model team combines ambitious research vision with real-world impact. Our foundation models provide generative reasoning capabilities required to meet the demands of Amazons global Last Mile delivery network. We leverage Amazons unparalleled computational infrastructure and extensive datasets to deploy state-of-the-art foundation models to improve the safety, quality, and efficiency of Amazon deliveries. Our work spans the full spectrum of foundation model development, from multimodal training using images, videos, and sensor data, to sophisticated modeling strategies that can handle diverse real-world scenarios. We build everything end to end, from data preparation to model training and evaluation to inference, along with all the tooling needed to understand and analyze model performance.

Join us if youre excited about pushing the boundaries of whats possible in logistics, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale.

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