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Research Intern

3 months ago

Bengaluru, India Minus Zero Full time

We, at Minus Zero, are accelerating the world’s transition to driverless vehicles. Minus Zero is India's first startup building foundational models for autonomous driving delivered as an industry-first intelligent platform to automotive OEMs to enable autopilot & self-driving capabilities for next-gen vehicles across all geographies.

Pioneering Nature-inspired AI, Minus Zero is leading AI research towards a series of next generation of foundational models after LLMs & Vision Models to enable them to perform explainable decision-making for tasks like autonomous driving.


At Minus Zero, we are looking for passionate interns who can join us for 6-9 months (on-site in Bangalore office) and share our vision for developing self-driving cars


About the role


  1. You will be exploring state-of-the-art approaches for 3D scene understanding for developing self-driving cars.
  2. The role will include research on the development of novel and efficient methodologies methods for Semantic Segmentation, Depth Understanding, 3D Object Detection and Tracking, 3D reconstruction, Zero-shot & self-supervised approaches, multi modal learning and more.
  3. If you are driven by deep questions in ML research, and look for opportunities where pursuit of open-ended goals propels innovation, and are strongly motivated to contribute to this mission, then this role is for you.


What we look for


  1. ML Fundamentals: We believe in first principle thinking and obsess about strong fundamentals. Therefore, we seek candidates with strong machine learning fundamentals.
  2. Coding chops: Coding turns ideas into reality and we are looking out for candidates who are comfortable with python, pytorch, numpy, matrix multiplications etc.
  3. Research background: Publications in A* conferences or equivalent research contributions is a must as this internship will be pretty heavy on research.
  4. Independent thinking: Ideal candidate should be able to approach the problem independently by breaking into smaller chunks.
  5. 6-9 months time period: We are looking for candidates who are available for on-site internship for 6-9 months.