# AI Research Engineer - ML & Signal Processing

**Company**: Helsing
**Location**: Munich - Berlin - London - Paris
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Aerospace & Defence

**Apply**: https://job-boards.greenhouse.io/helsing/jobs/5028719101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_bc856948-967

## Description

Helsing is a defence AI company with the mission to protect our liberal democracies.

At Helsing you will work at the intersection of machine learning and signal processing on RF data, helping build the AI capabilities inside our electronic warfare systems: models that detect, classify, and reason about RF signals in congested, contested spectrum.

You will own problems end-to-end: read the literature, prototype on real recorded data, push to the edge, watch it run.

Current focus areas include self-supervised representation learning on signal data, deinterleaving and emitter identification, mode recognition, and anomaly detection on embedded hardware.

You should apply if you

- Hold a PhD (or have an equivalent research track record) in ML, signal processing, physics, electrical engineering, or a related field, with publications at NeurIPS, ICLR, ICML, ICASSP, or similar venues.

- Have shipped non-trivial ML into a real product - not just notebooks.

- Are comfortable on irregular, noisy sequence data: temporal models, self-supervised or contrastive methods, calibration under distribution shift.

- Write clean Python, and are willing to pick up Rust where the deployment target demands it.

- Read papers and reimplement them.

- Communicate research clearly to ML peers, RF engineers, and end users.

Nice to have:

- Experience with EW, SIGINT, ESM/ELINT, RWR, or radar concepts.

- Familiarity with RF signal theory at a level sufficient to talk to RF engineers.

- Experience deploying ML to edge or embedded hardware.

What we offer:

- Competitive salary and VSOP options

- Relocation support: up to €2,500 and 4 weeks temporary accommodation

- Learning: €500/£450 yearly allowance

- Health & wellness: gym membership and mental health support

- Social: regular company events and monthly social allowances

- Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

- Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

## Skills

### Required
- Machine Learning
- Signal Processing
- Python
- Rust
- PhD in ML or related field

### Nice to have
- EW
- SIGINT
- ESM/ELINT
- RWR
- radar concepts
- RF signal theory
- Experience deploying ML to edge or embedded hardware

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/helsing/jobs/5028719101?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)