Senior Machine Learning Engineer

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November 10

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AHOY

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In Ahoy, we like to say we reimagine and redefine movement. What we mean, is that we figured out how to make it better.

201 - 500 employees

📋 Description

• Build, train, and refine machine learning and deep learning models using time-series, sensor, and behavioral data. • Integrate data from wearables, fitness tracking platforms, and device APIs to create a clear story from movement, patterns, and activity signals. • Develop and maintain data pipelines that support both batch and real-time analytics. • Own model deployment in production environments — your models won’t live in notebooks; they’ll live in the world. • Work closely with engineering teams to integrate ML models into mobile and web apps. • Support logic for fraud, spoofing, and anomaly detection, ensuring data reflects real human activity. • Make complex outputs easy to understand — not just for engineers, but for product and business users too.

🎯 Requirements

• 5+ years of hands-on experience as an ML Engineer or Applied Scientist. • Strong foundation in machine learning, deep learning, and time-series analysis. • Experience working with wearables, IoT data, or sensor-based datasets. • Fluency in Python, PyTorch or TensorFlow, and good software engineering habits. • Experience building and shipping production ML systems using modern MLOps practices. • Comfort with Node.js, APIs, and backend integration workflows. • Understanding of data privacy, cloud ML infrastructure (AWS, GCP, or Azure), and edge inference. • A solid grasp of feature engineering, statistical reasoning, and evaluating what “good” looks like in a model.