Business Intel Engineer - II, Amazon Robotics, Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI)

Amazon.com Inc

MA

JOB DETAILS
SKILLS
AWS Lambda, Accounts Receivable, Artificial Intelligence (AI), Automation, Best Practices, Business Intelligence, Computer Vision, Cross-Functional, Data Analysis, Data Management, Data Processing, Data Quality, Data Warehousing, Intel Product Family, International Operations, Leadership, Leading Edge Technology, Machine Tool, Mobile Devices, Natural Language Processing (NLP), Operations, Order/Customer Fulfillment, Organizational Development/Management, Presentation/Verbal Skills, Product Planning, Production Systems, Prototyping, Python Programming/Scripting Language, Reporting Dashboards, Robotics, SQL (Structured Query Language), Sustainability, Team Building, Team Player, Test Design, Training Data Sets, Validation Documentation
LOCATION
MA
POSTED
30+ days ago

Amazon Robotics is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfillment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement with state-of-the-art AI. We collaborate with customers across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation.

Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We"re transforming how complex visual reasoning tasks are performed across Amazon"s robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions.

As a Business Intelligence Engineer on GO-AI"s Technology & Development Team, you"ll work with cross-functional teams (Science, Software, Data, BIE) managing massive-scale, proprietary datasets to develop foundation models that achieve human-level performance on complex real-world tasks. Your work will directly impact millions of daily operations across Amazon"s global fulfillment network.

This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You"ll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale.

Key job responsibilities

  • Design, development and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports and dashboards.
  • Development of moderately to highly complex data processing jobs using appropriate technologies (e.g. SQL, Python, Spark, AWS Lambda, etc.)
  • Development of dashboards and reports.
  • Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to gain insights into capabilities and limitations.
  • Deliver minimally to moderately complex data analysis.
  • Adopt best practices in reporting: data integrity, test design, validation, and documentation.
  • Ensure excellence in verbal and written communication.
  • Comfortable wearing multiple hats and go over and above to drive results.

A day in the life

Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

  1. Medical, Dental, and Vision Coverage

  2. Maternity and Parental Leave Options

  3. Paid Time Off (PTO)

  4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we"d still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

About the team

The Amazon Robotics (AR) Technology Enablement Services (TES) Team enables AR's people, purpose, and place to deliver the future. We remove barriers, drive organizational productivity, and foster growth. We serve AR leadership, product customers, and employees, and collaborate with teams throughout FTR. Creating a safe, inclusive, and productive workplace experience. Designing and iterating on learning, development, and engagement solutions to support needs of operators and employees. Synthesizing and articulating AR's long-term strategy, near-term goals, product roadmaps, and workforce strategy. Developing and managing cross organizational mechanisms, reporting, programs, and Sustainability efforts.

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