Job Description

DESCRIPTION

Job summary
Are you customer-obsessed, data oriented, and confident in proposing opportunities to improve our customers' experience across different Amazon businesses? Amazon is looking for an experienced, talented and highly motivated individual to join our Customer Experience Strategy team in Bangalore, India. We are seeking a software development engineer to join Device eXperience Automation team. You will be part of the team that adds new capabilities with multiple visual / audio capturing and analytic methodologies. The solutions heavily leverage Robotics, IoT, AI and quantitative analysis to challenge conventional wisdom with hard data. As technology is advancing in unprecedented pace nowadays, Amazon Customer Experience Strategy is also evolving with cutting-edge engineering solutions. Our mission is to build end to end products and measure the customer experience of Amazon digital products around the world. We are a group of people who are inspired by inventions every day. We are obsessed with better customer experience for Retail, Prime Video, Alexa, Twitch... and the list goes on. Wait, how do we automate all the customer experience measurement? How do we know our products are faster / smoother / smarter? Well, here is a shortlist of technologies we've immersed ourselves into regularly.

• Robotics and Automation
• Large-Scale IoT Solution
• Machine Learning (Computer Vision, Natural Language Processing)

With all cutting-edge technologies, distributed and microservice based architecture, you have the opportunity to exercise your creativity and explore unconventional ideas to simulate and quantify any aspect of the customer experience. Also, you will have opportunity to productionize the scientific papers we published to ICCE, ACVC, ICPR, ICDAR and ICASSP, and create patents from our day-to-day innovations.

How often have you had an opportunity to be a founding member of a project team that is tasked with solving a huge everyday industrial problem through innovative technology? Would you like to know more about how we are using the IoT (Internet of Things) to transform and disrupt an entire industry? If this sounds intriguing, then we'd like to talk to you about a role on a new Amazon team tackling a set of problems requiring significant innovation.

Come join Amazon Device Experience Automation team to help transform the device benchmarking experience with unprecedented quality, efficiency and scale. Each time a new Amazon device or service is introduced, you could expect our technology is at the scene and behind the scene. Today, Amazon Device Experience Automation solutions support Amazon global initiatives including Amazon Echo, Alexa, Prime Video, Twitch, Retail running on Smart Devices etc., and its scope is expanding every day.

Our team is actively seeking motivated and multi-talented engineers who are passionate about technological and business innovation. You will be part of an inter-disciplinary team of software, hardware, firmware, and system engineers to develop and integrate cutting-edge technologies from IoT, networking, machine learning, and cloud computing into pragmatic solutions for large-scale device control automation and advanced benchmarking problems. Our team covers a broad swath of software development including control software, distributed backend systems, web services, real-time system, networking and smart phone app development. If you excel at any or all of these areas, we want to talk to you.

Your software will make a standard in device benchmarking industry on thousands of devices. Your software will make state-of-art control systems fully automated and continuously perform benchmarking 24/7. Your software will make device onboarding fully self-service and self-adapt to new control, sensor, and network technologies. Above all, your software will be deployed in scale globally to help Amazon's devices and services exceed customer expectation worldwide.

Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. We'll need to tackle problems that span a variety of domains: control software, real-time system, distributed backend systems, and web services. You should be comfortable with a degree of ambiguity that's higher than most projects and relish the idea of solving problems that, frankly, haven't been solved at scale before - anywhere. Along the way, we guarantee that you'll learn a ton, have fun and make a positive impact on millions of customers.

In other words, our ideal candidate loves building software, is self-directed, knows how to get things done, and is not afraid to take on big challenges.
Are you this person? If so, you are going to love this job because you will:

• Solve unique problems and work on a small, self-directed team.
• Build tools and products end to end that have never been made before
• Directly influence the vision and objectives for your team's work in alignment with business and market needs
• Directly change what we do in Amazon products to delight our customers

Also, you will have opportunity to productionize the scientific papers and create patents as below.

Science Papers
A Two-Stage LSTM Based Approach for Voice Activity Detection with Sound Event Classification, ICCE2022, 2022
A Scalable Framework to Detect Advertisements~(Ad) from Online Streaming Services, Amazon Computer Vision Conference (ACVC), 2021
A No-Reference Approach to Detect and Correct Audio/Video Desynchronization in Streamed Videos, Amazon Computer Vision Conference (ACVC), 2021
A Two-Stage LSTM Based Approach for Voice Activity Detection with Sound Event Classification Using Limited Data, Amazon Computer Vision Conference (ACVC), 2021
Detection of Audio-Video Synchronization Errors Via Event Detection, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
A Scalable Deep Neural Network to Detect Low Quality Images Without a Reference, 25th International Conference on Pattern Recognition (ICPR), 2021
A Smart System to Compute Movie Playing Latency for Online Video Streaming Services, Amazon Computer Vision Conference (ACVC), 2020
A Scalable Deep Neural Network to Measure Image Quality Without Reference, Amazon Computer Vision Conference (ACVC), 2020
A Scalable Computer Vision Framework For Mobile Device Auto-Typing, IEEE International Conference on Consumer Electronics (ICCE) , 2020
A Deep Neural Network to Detect Keyboard Regions and Recognize Isolated Characters, International Conference on Document Analysis and Recognition (ICDAR), 2019
A Scalable Automated System to Measure User Experience on Smart Devices, IEEE International Conference on Consumer Electronics (ICCE), 2019
Patents
System for detection of Audio/Video synchronization errors using non-speech cues, 2020
A Scalable Deep Neural Network to Detect Low Quality Images Without a Reference, 2020
System and Method of Content-Adaptive Video Sampling for Cost-Effective Quality Monitoring , 2020
A Smart System to Compute Movie Playing Latency for Online Video Streaming Services, 2020
Voice Controlled Keyboard Typing using Alexa and Computer Vision, 2018

About the team
As part of the Customer eXperience and Business Trends (CXBT) organization, our team in India owns labs to automatically emulate end customers' interaction with devices. On the daily, apart from core software engineering we deliver onsite and remote support to the auto-scheduled experiments. We expand the customer experience evaluation program by deploying scaled fabrication, followed by hands on troubleshooting, maintenance and repair of both testing and production devices. As a common organization's goal, our team thrives for innovation to scale the service and achieve better stakeholders reach and impact. As the device demand for our lab continues to grow, our customers needs engineers who stand ready to build and scale our production fleet, investigate and resolve complex technical issues at short notice.

About the Culture
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com/"

BASIC QUALIFICATIONS

• 2+ years of non-internship professional software development experience
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• Programming experience with at least one software programming language.

• Bachelor's degree in Computer Science or equivalent combination of technical education and work experience.
• Solid software development background including design patterns, data structures, test driven development.
• Solid experience with distributed (multi-tiered) systems, algorithms, and relational databases.
• Strong analytical skills, with excellent problem-solving abilities.
• Strong customer focus, ownership, urgency and drive.

Excellent verbal and written communication skills.

PREFERRED QUALIFICATIONS

• Master's degree in Computer Science, Computer Engineering, or related fields.
• 3+ years of production software development or equivalent experience.
• 3+ years of software development or testing experience for mobile, control, or distributed systems.
• Experience in rapid prototyping and other fast iteration methods for product development.
• Experience in building complex software systems that have been successfully delivered to customers.