AI Research Engineer - ML & Signal Processing

Highlights

• Build AI for electronic warfare systems detecting RF signals in contested spectrum.
• Own research end-to-end from prototyping on real data to deployment on edge hardware.
• Tackle self-supervised learning for deinterleaving, emitter ID and anomaly detection.

What they offer

• Competitive salary and VSOP options
• Relocation support up to €2,500 and 4 weeks temporary accommodation
• €500/£450 yearly learning allowance
• Gym membership and mental health support
• Regular company events and monthly social allowances
• Enhanced parental leave: 22 weeks primary and 6 weeks secondary

Ideal candidate

Mission-driven ML researcher with PhD-level depth who thrives on messy real-world data and shipping to production. Curious, pragmatic builder eager to learn RF and work closely with engineers and operators.

Requirements

• PhD or equivalent research track record in ML, signal processing, physics, electrical engineering or related field with publications at NeurIPS, ICLR, ICML, ICASSP or similar
• Shipped non-trivial ML into a real product beyond notebooks
• Comfortable on irregular, noisy sequence data including temporal models and calibration under distribution shift
• Write clean Python and willing to pick up Rust for deployment
• Able to read papers and reimplement them with judgment on what will hold up
• Communicate research clearly to ML peers, RF engineers and end users