Machine Learning Engineer
2 weeks ago
Required Skills
Core ML
- Transformers / BERT-style sequence models
- Self-supervised learning (contrastive, masked modelling, CPC)
- Temporal modeling (CNN-1D/TCN/GRU/LSTM/attention)
- Feature normalization & embeddings
- Time-series robustness
Data Science / Engineering
- Python, PyTorch or TensorFlow
- Training pipelines on large unlabeled datasets
- Experiment tracking (wandb, mlflow, custom)
- Metrics design for real-world, not benchmarks
Nice to Have
- Worked with IMU or wearable datasets (movement, sports, health, AR/VR)
- HAR (Human Activity Recognition)
- Pedestrian movement segmentation
- Work on Meta Quest, Apple Health, Garmin, Fitbit, Xiaomi or ARCore
Experience
We prefer candidates who have:
- 48 years ML experience
- Built and shipped models in production
- Strong experience in time-series or real-world sensor noise
- Demonstrated ability to iterate quickly from prototypes to stable deployment
Education
Preferred but not mandatory:
- B.Tech / M.Tech / MS or PhD in Machine Learning, AI, Computer Science, Data Science
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