AI/ML Computer Vision Engineer, Camera Tracking (80-100%)

Careers - uniqFEED; Glattbrugg; Hybrid; CHF 120,000 - 160,000; Full time

Benefits offered by this job

Phantom Stock Option Plan

Training and education support

Five weeks vacation

Flexible hours and home office by pact

HQ in Glattbrugg

Job summary

uniqFEED is seeking a skilled researcher/engineer to advance our camera tracking and calibration framework. You will prototype and validate AI/ML methods, build datasets, and deploy real-time neural networks in C++.

We value strong C++/Python, vision & deep learning expertise, plus experience with SLAM or calibration. Hybrid work with HQ in Glattbrugg, Switzerland.

Qualifications

• MSc/PhD in computer vision, computer science, robotics or related field.
• Experience with visual SLAM, visual odometry or camera calibration.
• Experience with deep learning: data pipelines, model architecture and loss design.
• Strong C++ and Python skills.
• Familiarity with testing frameworks and CI is a plus.

Responsibilities

• Taking responsibility for modules of our camera tracking and calibration framework.
• Prototyping and validating state-of-the-art approaches from AI/ML research papers.
• Building, extending and curating our machine learning datasets.
• Training and deploying neural networks for our real-time C++ pipeline.
• Prototyping internal tools, designing evaluation benchmarks and writing tests.
• Identifying bottlenecks and optimizing performance.
• Working with the testing and operations teams on usability and reliability.

Skills

C++

Python

Computer vision

Deep learning

CUDA

TensorRT

CI/CD

Testing frameworks

Education

MSc/PhD in computer vision, computer science, robotics or related field

Tools

Testing frameworks

Job description

Your mission

• Taking responsibility for modules of our camera tracking and calibration framework.
• Exploring improvements to tracking and calibration in diverse broadcast scenarios.
• Designing and improving algorithms and models for video understanding.
• Prototyping and validating state-of-the-art approaches from AI/ML research papers.
• Building, extending and curating our machine learning datasets.
• Training and deploying neural networks for our real-time C++ pipeline.
• Prototyping internal tools, designing evaluation benchmarks and writing tests.
• Identifying bottlenecks and optimizing performance.
• Working with the testing and operations teams on usability and reliability.

Your profile

• MSc/PhD in computer vision, computer science, robotics or a related technical field.
• Experience with visual SLAM, visual odometry or camera calibration.
• Experience with deep learning: data pipelines, model architecture and loss design.
• Good knowledge and experience in C++ and Python.
• Good problem-solving and communication skills.
• Experience with multi-view geometry, image matching or optical flow is a plus.
• Experience with foundation models or knowledge distillation techniques is a plus.
• Know-how in real-time GPU computing (CUDA, TensorRT) is a plus.
• Familiarity with testing frameworks and continuous integration is a plus.
• Interest in agentic coding tools is a plus.

Whether you are starting out or already experienced, we welcome your application.

What you can expect from us

• A dynamic and fast-growing environment with many possibilities for further development.
• A highly motivated, interdisciplinary, multi-cultural team with focus and vision.
• Several (larger and smaller) team events per year
• A competitive salary and participation in uniqFEED's Phantom Stock Option Plan
• Financial support for training and further education
• Five weeks of vacation per year
• Flexible working hours, home office by prior agreement, workation, and an appealing work environment in our HQ in Glattbrugg/ ZH.