Senior ML/AI Engineer
Tasks
- Build production machine learning systems
- Classify runtime telemetry
- Design machine learning systems from telemetry data
- Design telemetry pipeline
- Develop detections risk scores and behavioural baselines for AI agents
- Drive model deployment and versioning
- Perform behavioural threat detection
- Run A B testing for detection models in production
- Use LLMs for policy enforcement
Perks/Benefits
- Conference speaking opportunities
- Dental insurance
- Flexible work environment
- Health insurance
- High autonomy
- In Office Twice Weekly
- Vision insurance
Skills/Tech-stack
Anomaly Detection | BigQuery | Boosted Trees | Class imbalance | Classification | ClickHouse | Feature Engineering | Fine Tuning | Function Calling | Gradient Boosted Trees | LLM | LLM Evaluation | Machine Learning | Model Evaluation | Noisy Labels | Pandas | Prompt engineering | PyTorch | Python | Regression | Retrieval-Augmented Generation | Scikit-learn | Series modeling | Snowflake | Spark | Telemetry data | TensorFlow | Time Series | Time Series Modeling
Education
N/A
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