Research Engineer (ML / CV / DSP / RF)

We are a British—Ukrainian air defence tech company building distributed systems across the frontline. We are looking for a Research Engineer to join the team working on detection, classification, and localization problems in the radio frequencies domain. This is a hands-on R&D role with substantial ownership: you will work with raw field data, develop algorithms and ML/CV/DSP approaches, implement ideas from research papers, and take solutions all the way to deployment on edge systems.

Our core value is impact for Ukraine: we build technology that makes a real difference on the battlefield, not in labs or on paper specs. We operate with a deep-tech mindset, pushing new technologies where engineering rigor truly matters. We value ownership and responsibility—people who execute, deliver, and stand behind the results.

• Strong foundations in linear algebra, probability, and statistics

• Strong Python and general software engineering skills

• Strong background in ML, CV, signal processing, applied math, or a related field

• Ability to independently investigate technical problems, implement research ideas and turn prototypes into reliable production code

• Experience with modern AI-assisted and agentic engineering workflows

• English: B1 or higher (international team)

What you’ll do

• Own parts of the edge inference pipeline: filtering, detection, classification, localization, and related logic

• Analyze real-world data, identify failure modes, and improve algorithms

• Develop ML/CV and classical algorithmic approaches

• Research, reproduce, and adapt relevant papers

• Design experiments and evaluation methodology

• Organize and participate in field data collection and testing

• Build tools for data analysis, visualization, filtering, and labeling

• Optimize algorithms and models for edge deployment

• Work with engineers to integrate and validate solutions in production

• Use agentic workflows to accelerate research, coding, and experimentation

• Radio Frequencies, Edge ML, embedded inference, robotics, or real-time CV

• Detection, tracking, localization, sensor fusion, or time-series processing

• C/C++ and performance optimization

• DefenseTech, SigInt, or embedded systems experience

• Active learning or continuous dataset improvement workflows