Senior Wearable Data Engineering Lead
Bells of Steel Inc.
Design wearable experiments and dependable data systems for Bells of Steel, working hands-on with strength training technology in Calgary.This Senior Technical Lead contract connects sensor research, data engineering, and coaching product development. You will collaborate with personal trainers, biomechanical engineers, and the founder to test affordable sensors, establish reproducible baselines, and understand uncertainty. You will also own the existing application, including React Native/Expo, TypeScript, Supabase/Postgres, local-first data, monitoring, and release operations.Key Responsibilities:
Design reference comparisons and simple experimental baselinesBuild sensor ingestion and failures teams can observeEvaluate models with uncertainty and honest release limitsAdd confidence checks and manual coaching fallbacksKeep experiment records and technical decisions reproducibleRequirements:
Applied ML evaluation experience influencing product decisionsPython, statistics, signal processing, and time-series fundamentalsBackend, SQL, API, authorization, and data pipeline expertiseProduction mobile development and launch support experienceUnderstanding of lifting, progression, RPE, and rest periodsOwn Bells of Steel’s wearable evidence and application systems with practical machine learning and strength-training understanding.
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Design reference comparisons and simple experimental baselinesBuild sensor ingestion and failures teams can observeEvaluate models with uncertainty and honest release limitsAdd confidence checks and manual coaching fallbacksKeep experiment records and technical decisions reproducibleRequirements:
Applied ML evaluation experience influencing product decisionsPython, statistics, signal processing, and time-series fundamentalsBackend, SQL, API, authorization, and data pipeline expertiseProduction mobile development and launch support experienceUnderstanding of lifting, progression, RPE, and rest periodsOwn Bells of Steel’s wearable evidence and application systems with practical machine learning and strength-training understanding.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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