AI Research Engineer - ML & Signal Processing

Highlights

• Build AI for electronic warfare to detect and classify RF signals.
• Prototype on real recorded data and push models to run on edge hardware.
• Tackle self-supervised learning, 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 via Nilo.health
• Regular company events and monthly social allowances
• Enhanced parental leave: 22 weeks primary, 6 weeks secondary caregivers
• 5 days paid family emergency leave and family support options

Ideal candidate

PhD-level ML researcher who has shipped real models and thrives on messy, noisy sequence data. Mission-driven builder eager to learn RF alongside engineers and see work run on real platforms.

Requirements

• Hold a 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
• Have shipped non-trivial ML into a real product beyond notebooks
• Comfortable on irregular, noisy sequence data including temporal and self-supervised or contrastive methods
• Write clean Python and willing to pick up Rust where deployment demands it
• Read papers and reimplement them with judgment on what will hold up
• Communicate research clearly to ML peers, RF engineers and end users