Amazon Model Jobs in Massachusetts (NOW HIRING)

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.