Machine Learning Engineer II - Autonomous Driving Performance Evaluation

Required

• Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:
• Bachelor's or Master's degree in Robotics, Computer Science, Statistics, or a related field with strong mathematical and engineering foundations.
• A minimum of 2 years building evaluation, metrics, or data analysis systems for ML in production.
• Proficiency in Python (NumPy/Pandas or equivalent dataframe tooling) with experience in Linux environments.
• Familiarity with basic concepts in Machine Learning (losses, train/eval splits, common failure modes) and basic Perception and Planning concepts in Autonomous Driving.
• Proficiency in Go or C++.
• Familiarity with experiment tracking and evaluation tooling such as MLflow, Weights & Biases, or in-house equivalents.
• Familiarity with statistical methods for A/B comparison, regression detection and noisy-metric analysis.
• Familiarity with data mining and curation at scale (embedding-based retrieval, active learning, auto-labeling).
• Familiarity with visualization and dashboarding tools (Plotly, Grafana, Streamlit or similar).
• Physical Requirements
• Standard office working conditions which includes but is not limited to: