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Applied Scientist II, On Road Experience

Bengaluru, Karnataka, India💼 Full-time🗓 2026-05-04 → 2026-07-31

Core

Building machine learning models and algorithms for mapping, location, pattern detection in sensor data, and computer vision to enhance the last-mile delivery driver experience.

Role type

Applied Scientist II (On Road Experience)

Builds

Next-generation smart delivery operations combining mobile/IoT technologies, data streams, and ML models.

Domain

Logistics / Last-mile delivery / Computer Vision / IoT

Deliverable

production ML models

Required skills

Machine learning model development, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python

Preferred skills

Unix/Linux usage, professional software development

Technologies

Java, C++, Python, IoT, mobile technologies

Responsibilities

Build ML models for mapping and location, detect patterns in sensor data, develop computer vision solutions, collaborate with engineering and product management to drive designs from ideation to production.

Seniority

Mid-level IC (3+ years experience)

Rewrite
## Responsibilities - Building machine learning models and algorithms in areas including mapping and location, pattern detection in sensor data, and computer vision. - Working with engineering and product management peers to drive designs from ideation through development and into production. - Bringing experience of research for similar products and solutions, preferably in consumer or industrial verticals. - Delivering results within the ambiguity of building a v1 product, with limited guidance. - Creating solutions that allow for faster and more confident delivery. ## Requirements - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ## Nice to Have - Experience using Unix/Linux - Experience in professional software development ## Benefits - Inclusive culture that empowers employees to deliver the best results for customers. - Opportunities for professional growth and innovation in the field of smart delivery operations. - Collaboration with cross-functional teams to develop cutting-edge solutions. - Access to advanced technologies and tools for research and development.
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