FAQs
What qualifications are required for the Applied Scientist II position in Last Mile Address Intelligence?
The position requires 3+ years of experience in building models for business applications, experience with patents or publications in top-tier peer-reviewed conferences or journals, and programming skills in Java, C++, Python, or related languages.
What areas of expertise are needed for this role?
Candidates should have knowledge in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, and high-performance computing.
What are some key responsibilities of this position?
As an Applied Scientist II, you will be responsible for delivering on complex business problems, exploring state-of-the-art technologies including GenAI, and working on end-to-end business problems from design to experimentation and implementation.
What kind of problems will I be working on in this role?
You will work on problems related to address normalization, geocode learning, maps learning, and time estimations for delivery predictions, among others.
Is there an opportunity for publishing research in this role?
Yes, there is an opportunity to innovate, explore state-of-the-art techniques, and publish research in internal and external ML conferences.
What kind of technologies will I be using?
You will be using technologies such as LLMs, weak supervision, graph-based clustering, entity matching, computer vision, optimization techniques, and supervised learning methods.
What is the structure of the team?
The Last Mile Address Intelligence (LMAI) team is led by Saurabh Sohoney and operates across HYD13 and BLR26 locations, with support from the Geospatial science team led by Amber Roy Chowdhury.
Do I need to have a specific degree for this position?
A Master's degree is preferred for this position.
Is experience with Unix/Linux required?
Yes, experience using Unix/Linux is a required qualification for this role.
What experience in software development is expected?
Candidates should have experience in professional software development as part of their qualifications for this position.