Computer Vision Engineer - Research & Development

Location : Bangalore

Experience : 3-10 years in R&D

Employment Type : Full-time or Contract

This is a research and development position requiring hands-on experience with real-world tracking projects, not theoretical knowledge alone.

About StanceBeam

Join StanceBeam, a pioneering sports technology startup revolutionising cricket through advanced computer vision and analytics. We're developing cutting-edge systems for broadcasting and Decision Review System (DRS) applications, specialising in precision ball and player tracking across cricket field distances.

This R&D-focused position offers the unique opportunity to work on real-world challenges in sports technology - from developing algorithms that track a cricket ball at 150+ km / h across 100-metre distances to creating robust player tracking systems for live broadcast and officiating.

Working directly with our CTO, you'll lead research initiatives, design innovative solutions, and implement scalable computer vision systems that are transforming how cricket is analyzed, broadcast, and officiated globally. This role is perfect for a research-minded engineer who thrives in startup environments and is passionate about pushing the boundaries of sports technology.

Role Overview

We're seeking a Computer Vision Research Engineer with proven expertise in long-distance ball and player tracking systems. This is a research-heavy role focused on developing innovative solutions for sports analytics using advanced computer vision techniques. You'll be working on challenging problems related to long-range object tracking, camera calibration for extended distances, and developing robust algorithms that work in outdoor sporting environments.

Key Responsibilities

Research & Development

• Lead R&D initiatives for long-distance ball and player tracking systems
• Research and develop novel algorithms for multi-camera tracking in outdoor sports environments
• Investigate and implement advanced camera calibration methods for long-distance applications
• Design experiments and validate tracking accuracy across different distances and conditions
• Stay current with latest research in sports computer vision and tracking technologies
• Publish research findings and contribute to technical documentation

Algorithm Development

System Integration & Testing

Essential Requirements

R&D Experience

Technical Expertise

Technical Skills

Preferred Qualifications

Specific Project Experience Required

Candidates must demonstrate experience in at least 2 of the following :

Technical Challenges You'll Solve

What We Offer

Skills Required

camera calibration , Computer Vision, Deep Learning, Machine Learning, Opencv