Amazon Robotics

Currently enrolled in a Master’s or PhD program in Computer Science, Engineering, Machine Learning, Operations Research or similar
- Must have an expected graduation of December 2023 or later
- Must be eligible for and available for full-time (40 hours per week) internship/co-op
- Must be authorized to work in Canada for the duration of the internship/co-op
- At least two years of relevant academic research in state-of-the-art approaches for at least one of the following: computer vision, resource allocation, simulations, optimization, planning, or machine learning
- Fluency in Python, NumPy and either PyTorch or TensorFlow

Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.

This Applied Science Co-op is a full-time (40 hours per week) internship based out of Toronto, Canada.

Key job responsibilities

**Key job responsibilities for the Applied Science Co-op**:

- Identifying creative solutions for challenging research problems in computer vision
- Developing software solutions to test hypotheses and demonstrate new functionality
- Prototyping concepts to collect data and measure performance
- Creating milestones and deliverables and tracking status with team
- Developing design documentation and leading reviews with other interns and engineers
- Writing code and unit tests and integrating code with other software and hardware components
- Delivering a final presentation to managers and engineers on the successes and challenges of their internship and the business value they have contributed

About the team
The Scanless Technology organization builds products that eliminate the need for explicit scanning in the Amazon Fulfillment Network. We research, design, and implement solutions for automated identification of objects and object movement by removing the need for manual scanning of identifiers, like barcodes. We integrate hardware, software, and machine learning, developing products that are solution-agnostic while enabling easy integration from installation to execution. We push the boundaries of current solutions to solve customer challenges.

Our solutions directly impact many areas of Amazon’s operations. For our associates, our systems affect user experience by improving safety and ergonomy. For our large fleet or robots, they improve overall throughput and efficiency.
- Solid understanding of standard data structures, algorithms, and software development
- Strong fundamentals in problem solving, algorithm design and complexity analysis
- Excellent verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
- Strong personal interest in learning, researching, and creating new technologies with high customer impact
- Ability to work on a diverse team or with a diverse range of coworkers
- A builder mindset with creative problem solving skills and getting things done attitude
- 1+ years experience programming in Java, C++, Python or any other related programming language and experience building high-quality, scalable production software
- 1+ years of industry experience in at least one of the following areas: computer vision, machine learning, statistics, deep learning, reinforcement learning, recommendation systems, information retrieval
- Experience in geometric 3D computer vision
- Ability to develop system prototypes in simulation
- Familiarity with image sensing hardware and optics
- Publications at top-tier peer-reviewed conferences or journals

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.