Senior/Staff Machine Learning Engineer, Autonomy Validation
Zoox
PythonPyTorchSQLTensorflow
Job Level
Mid-LevelSenior
Tech Stack
PythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
- Transform complex datasets into actionable insights to drive strategic business outcomes.
- Lead end-to-end data science projects, from data collection and preprocessing to model deployment and delivery.
- Design, implement, and maintain advanced ML models, including regression, clustering, anomaly detection, and NLP applications.
- Write optimized SQL queries to extract, manipulate, and analyze large datasets.
- Translate complex data insights into actionable recommendations for technical and non-technical stakeholders.
- Collaborate with cross-functional teams to define data requirements and implement scalable analytical solutions.
- Monitor model performance, conduct A/B tests, and implement improvements to maintain accuracy and reliability.
- Document methodologies, workflows, and data dictionaries to ensure reproducibility and knowledge sharing.
- Mentor and guide junior data scientists, promoting best practices and technical excellence.
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
- Minimum 4-5 years of experience in data science, analytics, or ML roles, including production-level model deployment.
- Expertise in at least two areas of data science, managing projects end-to-end from technical implementation to stakeholder delivery.
- Strong proficiency in Python or R for data manipulation, ML modeling, and NLP.
- Expert-level SQL skills for large-scale data querying and analysis.
- Experience with regression, clustering, anomaly detection, NLP, and conducting experiments/A-B tests.
- Skilled in ML frameworks (scikit-learn, TensorFlow, PyTorch) and visualization tools (Tableau, Power BI, matplotlib, seaborn).
- Solid understanding of statistics, hypothesis testing, and experimental design.
- Strong communication and collaboration skills to influence technical and non-technical stakeholders.
- Proven ability to mentor junior staff and lead projects that deliver measurable business impact.
