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Machine Learning Engineer - Data Mining - Motional
ML Engineer
Lead the development of a multimodal data mining engine for autonomous driving, leveraging large‑scale foundation models and cloud infrastructure to uncover rare edge cases and model errors in petabyte‑scale sensor data.
About the role
Key Responsibilities
- Design, implement, and optimize multimodal representation learning pipelines using PyTorch and TensorFlow.
- Develop scalable data ingestion and feature extraction workflows on AWS for petabyte‑scale driving datasets.
- Collaborate with research and engineering teams to integrate foundation models and refine anomaly detection algorithms.
- Analyze model outputs to identify rare edge cases, long‑tail scenarios, and performance bottlenecks.
- Document findings, create reproducible experiments, and contribute to open‑source tooling where appropriate.
Requirements
- 5+ years of experience in machine learning engineering, with a focus on large‑scale data processing.
- Proficiency in Python, PyTorch, and TensorFlow, plus experience with AWS services (S3, EMR, SageMaker).
- Strong background in multimodal data mining, representation learning, and anomaly detection.
- Excellent problem‑solving skills and ability to translate research into production systems.
- Effective communication and collaboration in a fast‑paced, cross‑functional environment.
Skills
pythonpytorchtensorflowaws