Middle Computer Vision Engineer — UAV Autonomy

About the position

We are looking for a Middle Data Science / Computer Vision Engineer to join a team developing autonomous UAV capabilities for challenging operating environments, including scenarios with limited or unavailable GNSS and operator connectivity.

The role is focused on Computer Vision and Machine Learning for real-world autonomous systems. You will work on algorithms for optical navigation, object detection and tracking, and other perception tasks, with a strong emphasis on deployment to onboard computing platforms and validation in simulation, on the bench, and during flight tests.

We are looking for an engineer who is comfortable working beyond the model itself - analyzing system behavior, investigating test results, identifying root causes, and turning prototypes into reliable solutions that can operate on real UAV platforms.

Must have skills:

Middle-level experience: approximately 2+ years of practical Data Science / Machine Learning experience with Computer Vision as the primary specialization
Strong Python skills
Hands-on experience with PyTorch and/or TensorFlow
Hands-on OpenCV experience
Good understanding of modern CNN- and Transformer-based CV architectures
Practical experience in several of the following areas: object detection, object tracking, classification, segmentation, feature extraction/matching, image registration, motion estimation
Understanding of Computer Vision geometry: camera models, coordinate systems, camera calibration, transformations, and projective geometry
Good foundation in linear algebra, probability, and statistics
Experience with Linux, Git, and sound software engineering practices
Ability to work with imperfect real-world data collected from field systems and flight tests
At least an Upper-Intermediate level of English (spoken and written)

Your tasks will include:

Develop and improve Computer Vision algorithms for UAV applications
Develop object detection, classification, and tracking algorithms
Work on optical navigation, Visual Odometry / Visual-Inertial Odometry, feature matching, image registration, and visual localization
Train, fine-tune, and evaluate models using proprietary datasets
Build and optimize real-time CV pipelines
Optimize inference for edge platforms with limited compute resources
Integrate DS/CV components with navigation, flight controllers, telemetry, and guidance logic
Participate in simulation, bench, and flight testing
Analyze failed tests and algorithm degradation, and improve robustness

We offer:

Delivering high-end software projects that address real-world problems
Surrounding experts who are ready to move forward professionally
Professional growth plan and team leader support
Taking ownership of R&D and socially significant projects
Participation in worldwide tech conferences and competitions
Taking part in regular educational activities
Being a part of a multicultural company with a fun and lighthearted atmosphere
Working from anywhere with flexible working hours
Paid vacation and sick leave days