Machine Learning Engineer, Data Mining
Core
Build ML-powered data mining frameworks to extract critical intelligence and edge cases from petabytes of multimodal autonomous driving sensor data.
Role type
Machine Learning Engineer (Data Mining)
Builds
Omnitag, a multimodal data mining framework 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 learning, self-supervised learning, data preprocessing, model deployment, active learning, embedding-based search
Preferred skills
MS/PhD in CS/ML, agentic systems, LLM-based planning, autonomous driving, robotics, sensor fusion, 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 documentation; collaborate with senior engineers to translate prototypes into scalable solutions
Seniority
Mid-level, hands-on IC