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THALOS, a holistic AI fitness coach, integrates wearables, blood biomarkers, lactate response, sleep, genome, microbiome, training logs, and visual form cues to deliver personalized coaching. Our adaptive algorithms update plans with every signal, benchmarking against a unique dataset of top athletes. We aim to enhance training, recovery, and nutrition, ensuring continuous progress. THALOS is committed to equal opportunity, evidence-based guidance, and community strength, offering pro bono coaching for those with special needs. Join the program and train smarter at thalos.at.
● Build complex recommender/ranking models with journal‑based features.
● Run A/B tests end‑to‑end; analyze uplift; ensure fairness & explainability.
● Deliver on‑device‑ready models (latency/memory budgets).
Must‑haves● Quantitative degree.
● Programming languages: Python, R, SQL.
● Machine Learning on all data formats: tabular, image, time-series.
● Knowledge of inference statistics & experiment design.
● Git CI/CD.
Nice‑to‑haves● Programming languages: Go, JavaScript.
● Extensive Machine Learning modelling experience (Bagging/Boosting/ANN).
● Casual ML, reinforcement learning, contextual bandits.
Offer● €60,000 gross/year, full‑time.
● Employee Stock Option Program
● Start date: November 1st, 2025, Vienna (hybrid).
● Ownership, real‑world data, fast iteration.
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Join Thalos Ai Fitness Coach GmbH and take your career to the next level!
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