Kanata North, Ottawa | Full-time, permanent | Reports to Engineering; pairs daily with our Cloud architect and signal analysis lead

About thinkRF thinkRF is the spectrum intelligence company. From our Kanata North (Ottawa) headquarters, we build the full stack behind SXM, our end-to-end spectrum intelligence platform: RF sensors, edge and cloud compute, and AI/ML analytics used by national telecom regulators, government agencies, and enterprises on five continents. Our sensors monitor entire countries; our analytics turn millions of RF measurements into decisions.

The mission thinkRF’s latest technological pivot is AI/ML-assisted spectrum intelligence, anchored by our RF Intelligence pipeline – a country-scale production system that turns millions of raw RF measurements into thousands of classified, geolocated emitters. Your mission is to take ownership of that codebase and ship the next generation of it: better models, faster pipelines, deeper attribution. This role is centered on building production systems with ML capabilities, rather than conducting ML research and then deploying it.

Your first 90 days at thinkRF

Take ownership of the RF Intelligence pipeline through a structured knowledge-transfer plan;

Ship one measurable improvement to production (classification accuracy, pipeline runtime, or emitter attribution quality), executing the end-to-end software development cycle (requirements, design, implementation, test and release)

Pair with our Cloud architect and signal processing lead on the feature engineering that feeds the models.

What you will own

The Intelligence Suite codebase: pipelines, models, evaluation, and deployment.

Model quality on real national datasets – accuracy that customers see in delivered reports.

The path from prototype to production: monitoring, versioning, reproducibility.

Mandatory

Successfully shipped ML systems into production, delivering value to real users.

Advanced Python development skills





Advanced Relational Database (PostgreSQL) and structured/tabular data (parquet)

Advanced ML and Data Analytics skills on python libraries as scikit-learn, scipy, pandas, numpy, networkx

Entry Level or advanced knowledge on AWS Cloud RDS, S3, Lambda and CloudFormation

Depth in classical ML – clustering, classification, anomaly detection on sensor or time-series data – reaching for deep learning when warranted, not by default.

A portfolio demonstrating your work: a repo, a system writeup, or a paper with your code.

Strong assets Claude LLM REST API for data analysis and enrichment

RF, SIGINT, telecom, radar, or spectrum monitoring background.

Ability to read and write signal-processing-adjacent code: spectral features, FFTs, detection thresholds.

Geospatial analysis and visualization (GIS, Leaflet-class tooling).

Edge deployment or model optimization for constrained hardware.

Eligibility for Canadian Reliability Status screening (due to sovereign data requirements).

thinkRF is an equal opportunity employer. All roles require legal entitlement to work in Canada; some work requires Canadian government reliability-level security screening and eligibility under the Controlled Goods Program, which we will sponsor.

This is an exciting and rare opportunity to embark on a journey with a fast-growing technology company where you can work with autonomy and be involved in highly impactful work. Our Company We’re looking for people who want torevolutionize RF monitoring and intelligence.We’re an ambitious, diverse, closely knit team of RF experts who are driven…

Kanata North, Ottawa (hybrid) | Full time, permanent | Base $130K–$150K CAD + uncapped commission, OTE $190K–$220K | Reports to the CEO About thinkRF thinkRF is the spectrum intelligence company. From our Kanata North (Ottawa) headquarters, we build the full stack behind SXM, our end-to-end spectrum intelligence platform: RF sensors, edge and cloud compute, and AI/ML…

#J-18808-Ljbffr

📌 AI/ML Engineer (Montreal)
🏢 ThinkRF
📍 Montreal