Project Description

The project is targeted on creating Simulation system for testing our automotive algorithms.  We are creating sufficient detailed environments to simulate the edge-cases of an environment to implement algorithms testing in virtual world to solve occlusion and out-of-distribution problems in end-to-end autonomous system.

Responsibilities

• Collaborate with Machine learning engineers to determine strategies for optimizing NN architecture.
• Analyze and compress concepts from state-of-the-art research papers.
• Curate loss functions from publications above.
• Facilitate ML engineers in tasks like image recognition and fine-tuning AI models in robotic applications.

Skills and Qualifications

• Strong Proficiency in Graph theory, Linear Algebra, Statistical modelling.
• Familiarity with learning frameworks like PyTorch and TensorFlow.

Career Requirements

• Bachelor’s degree in Pure/Applied Mathematics, Physics, Electrical Engineering and Mechatronics.

Work-Life Balance – We encourage you to find a balance between your work and personal lives. It isn’t about how many hours you spend driving to office, but the structure and self-discipline. We hope for you to spend your free no-commute time by exercising and getting organized, keeping the mind active and bring positive energy into the company.