Applied Scientist II, On Road Experience
Skills
About the role
This is a full-time Applied Scientist II role in Bengaluru focused on machine-learning systems for Amazon's last-mile delivery experience. You'll develop models and algorithms using mapping, sensor, video, vehicle-telematics, location, and computer-vision data. The work spans research, product design, engineering, and production delivery for customer-facing delivery operations.
What you’ll do
- Develop models for mapping and location problems.
- Detect patterns in sensor data.
- Build computer-vision algorithms.
- Work with engineering and product partners from concept through production.
- Develop solutions for an early product with limited guidance.
What they’re looking for
- At least three years building models for business applications.
- A PhD, or a master's degree with at least four years in computer science, computer engineering, machine learning, or a related field.
- Patents or publications in leading peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language.
- Knowledge of algorithms, data structures, parsing, numerical optimization, data mining, distributed computing, or high-performance computing.
Nice to have
- Unix or Linux experience.
- Professional software-development experience.
What’s on offer
- Full-time permanent employment in Bengaluru, India.
- Work on last-mile delivery technology using mobile, IoT, and machine-learning data.
- Accommodation support is available during hiring for candidates with disabilities.
Questions about this role
Where is this Applied Scientist role based?
The position is based in Bengaluru, India.
What education is required?
The posting asks for a PhD, or a master's degree plus at least four years in a relevant field.
How much modeling experience is required?
At least three years of experience building models for business applications is required.
What data areas are involved?
The role covers mapping, location, sensor data, video, vehicle telematics, presence data, and computer vision.
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