ML Engineer

We are seeking a Machine Learning Engineer to join our team for a specialized project focused on detecting, classifying, and predicting radio frequency jamming activity. The engineer will work closely with our product teams to design, train, and deploy models that can reliably identify different types of interference and anomalies in real time.

This role requires expertise in machine learning and a good understanding of digital signal processing, time-series analysis, and model deployment for embedded or cloud-based systems.

Key Responsibilities:

• Preprocess, clean, and augment signal datasets to optimize model performance.
• Develop and train supervised or unsupervised models for anomaly detection in time-series data.
• Evaluate and optimize model accuracy, latency, and robustness in noisy and real-world environments
• Implement feature extraction methods for radio frequency signals
• Integrate models into real-time detection systems
• Conduct model validation, benchmarking, and continuous improvement.

Required Experience:
 

• 1-3 years of experience in Data Science, Machine Learning, or a related role
• Experience in machine learning model development for time-series or signal processing applications
• Strong programming skills in Python and machine learning frameworks
• Experience with DSP concepts: Fourier transforms, filtering, spectral analysis, feature extraction
• Knowledge of anomaly detection techniques and classification algorithms
• Proficiency in data preprocessing and augmentation for low-SNR or noisy datasets
• Experience working with large datasets and optimizing for real-time or near-real-time inference

Nice-to-Have:
 

• Background in radio frequency engineering or wireless communication systems
• Experience with embedded machine learning deployment
• Familiarity with GNU Radio or other SDR frameworks
• Knowledge of cybersecurity or electronic warfare concepts

Special bonuses for you:
 

• Remote-first and flexible work with optional co‑working spaces
• Performance-based bonuses and tax coverage 
• Competitive vacation policy and local holidays for real work-life balance
• Professional development support courses, certifications, and conferences covered