1 day ago
Paris, France +3 moreSenior
Responsibilities
- Develop machine learning and signal-processing models for detecting, classifying, and reasoning about RF signals in congested and contested spectrum.
- Research self-supervised representation learning, deinterleaving, emitter identification, mode recognition, and anomaly detection.
- Read and reimplement research papers, evaluate their robustness, and prototype methods on real recorded data.
- Deploy models to edge and embedded hardware and optimize them for latency, compute, and deployment constraints.
- Own projects end to end, including monitoring deployed systems and iterating based on real-world behavior.
- Collaborate with ML, RF, hardware, and customer-facing operational teams and communicate research clearly to varied audiences.
Requirements
- PhD or equivalent research track record in machine learning, signal processing, physics, electrical engineering, or a related field.
- Publications at NeurIPS, ICLR, ICML, ICASSP, or similar venues.
- Experience shipping non-trivial machine learning into a real product rather than working only in notebooks.
- Experience with irregular and noisy sequence data, temporal models, self-supervised or contrastive methods, and calibration under distribution shift.
- Strong Python programming skills and willingness to learn Rust.
- Ability to assess research results critically, reimplement papers, and communicate research to ML peers, RF engineers, and end users.
- Nice-to-have experience with electronic warfare, SIGINT, ESM/ELINT, RWR, or radar concepts.
- Nice-to-have familiarity with RF signal theory, including modulation, propagation, and antenna patterns.
- Nice-to-have experience deploying ML to edge or embedded hardware using ONNX, TensorRT, quantisation, and profiling on constrained GPUs.
Benefits
- Competitive salary and VSOP options.
- Relocation support of up to €2,500 plus four weeks of temporary accommodation.
- Annual learning allowance of €500/£450.
- Gym membership and mental health support through Nilo.health.
- Regular company events and monthly social allowances.
- Enhanced parental leave of 22 weeks fully paid for primary caregivers and six weeks for secondary caregivers.
- Five days of paid family emergency leave, a 100% remote work option during pregnancy, and phased return to work.
- Additional benefits may be available depending on location.
Categories
AI ResearchML Engineering
About Helsing
Helsing was founded to provide Artificial Intelligence to protect our democracies. Helsing works with partners in governments and across industry. Together, we develop systems that leverage AI and autonomy to provide autonomous mass that is sovereign, scalable and affordable. We’re looking for people with their heart in the right place, who share our conviction that liberal democratic values are worth protecting, for ourselves and for future generations.