We’re looking for a Machine Learning Engineer to build and optimize ML solutions for an AI-powered fitness and wearable platform.
Responsibilities
- Develop ML models for exercise recognition, rep counting, movement analysis, and performance tracking.
- Work with accelerometer, gyroscope, and time-series sensor data.
- Build data preprocessing, feature engineering, training, and evaluation pipelines.
- Deploy and optimize models for mobile/edge or cloud environments.
- Collaborate with mobile, backend, and product teams to integrate ML into the product.
Must Have
- 3–5 years of hands-on ML experience.
- Strong Python skills.
- Hands-on experience with PyTorch, TensorFlow, or Scikit-learn.
- Experience working with time-series data and classification models.
- Robust understanding of model training, evaluation, and deployment.
Nice to Have
- Experience with wearables, IoT, fitness tech, IMU/sensor data, or Human Activity Recognition.
- Experience with Core ML, TensorFlow Lite, ONNX, or edge ML.
- Computer vision or pose-estimation experience.