Machine Learning Engineer, Data Mining
Core
Build the 'Brain' of Motional's Omnitag ML-powered multimodal data mining framework to extract insights from petabytes of autonomous driving sensor data and accelerate model improvement.
Role type
Machine Learning Engineer (Data Mining & Representation Learning)
Builds
Omnitag data mining framework, embedding-based search tools, active learning workflows, and scalable data pipelines for autonomous driving.
Domain
Autonomous driving, multimodal sensor data, large-scale representation learning.
Deliverable
production ML models
Required skills
PyTorch, TensorFlow/JAX, Python, SQL, Pandas, NumPy, supervised/self-supervised learning, data preprocessing, model deployment basics, version control, unit testing.
Preferred skills
Agentic systems, LLM-based planning, autonomous driving/robotics, multimodal learning/sensor fusion, active learning loops, contrastive learning, MLOps platforms, top-tier conference publications.
Technologies
PyTorch, TensorFlow, JAX, SQL, Pandas, NumPy, TF Serving, Triton, TorchServe.
Responsibilities
Develop and fine-tune ML models for multimodal sensor data; implement scalable data preprocessing and augmentation pipelines; develop embedding-based search tools and active learning workflows; build dashboards to monitor model health and data drift; maintain software engineering standards and participate in code reviews.
Seniority
Mid-level, hands-on IC