Senior, ML Engineer - Auto Tagger
Tasks
- Architect distributed data pipelines
- Classify and describe environmental scenarios
- Collaborate with autonomy perception simulation systems teams
- Define what constitutes an interesting scenario
- Develop ML assisted event tagging
- Enable high speed querying for ML training
- Establish coding standards
- Extract safety critical driving events
- Ingest tagged events into observations database
- Lead design reviews
- Mentor engineers
- Structure scenario data using Pegasus layer
- Tune heuristic event tagging algorithms
Perks/Benefits
- 401k match
- Company holiday office closures
- Company-paid medical, dental & vision
- Disability insurance
- Flexible schedule
- Life insurance
- Paid vacation
Skills/Tech-stack
AWS | Apache Arrow | Apache Beam | Apache Spark | Cloud platform | Columnar Storage | Data Curation | Databricks | Distributed Computing | Google Cloud | Google Cloud Platform | Inference | Language Models | MCAP | Machine Learning | Microsoft Azure | Model Serving | Neural Rendering | Parquet | Python | ROS bags | Ray | SGLang | SQL | Semantic Vector Search | Semantic inference | Series data | Time Series | Time Series Data | Unstructured Data | VLLM | Vector Databases | Vector Search | Vision Language Models | Vision-language | Zero-Shot | Zero-shot Learning
Education
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