Computer Vision Engineer

One of our clients, a highly selective algorithmic research group operating at the intersection of advanced mathematics, large-scale data analysis, and real-time decision systems, is looking for exceptional Computer Vision professionals interested in transitioning into a quantitative research environment.

This is a rare opportunity for strong algorithm developers from image processing and Deep Learning domains to pivot into a highly analytical, data-intensive field.

The Role

The position is research-driven and includes:

• Analyzing large and complex datasets in real-time environments

• Identifying statistical patterns and structural behaviors in dynamic systems

• Developing and refining advanced predictive algorithms

• Building mathematical and statistical models

• Working independently while collaborating within a small, high-performing research team

The environment is intellectually rigorous, fast-paced, and excellence-driven, with significant autonomy and depth.

Why Computer Vision Professionals Are a Strong Fit

Computer Vision researchers typically bring:

• Strong mathematical and probabilistic foundations

• Deep experience with modeling, optimization, and machine learning

• Expertise in extracting signal from noisy, high-dimensional data

• Experience developing performance-critical systems

These capabilities translate naturally into advanced quantitative research domains that require identifying structure and signal within complex, dynamic data.

We are open to training outstanding CV researchers who meet the academic and technical bar and are motivated to make a domain transition.

Requirements

• BSc in Computer Science, Mathematics, Physics, or Electrical Engineering from a leading academic institution (Outstanding academic performance)

• At least 2 years of programming experience (industry or doctoral research) - C++

• Strong algorithmic and analytical thinking

Advantages:

• Experience in statistical analysis of large datasets

• Deep learning background

• Advanced degree (MSc / PhD)

• Exposure to modeling-intensive environments

For research-oriented tracks, the bar is particularly high, with preference given to candidates who graduated with distinction and demonstrate exceptional analytical depth.

Please include your undergraduate GPA when applying.