Contract Student Worker - Autonomy Safety Data Engineer
Supports development of autonomous-vehicle safety risk models through large-scale driving and simulation data analysis, dataset pipelines, and empirical experimentation. Requires current enrollment in a quantitative B.S. or M.S. program, strong Python skills, and onsite availability for a part-time project.
About the job
Responsibilities
- Support the design, development, and iteration of data-driven safety risk models that quantify autonomous-driving performance and surface safety-relevant signals.
- Assist with dataset management pipelines, including curation, labeling, versioning, and quality checks.
- Define and run empirical experiments using driving and simulation data.
- Analyze large-scale datasets to identify trends, edge cases, and opportunities to improve autonomy performance.
- Work through ambiguous, open-ended problems with a researcher’s mindset and bias toward rapid iteration.
- Communicate complex results, trade-offs, and uncertainty clearly to stakeholders.
Requirements
- Currently pursuing a B.S. or M.S. in engineering, computer science, statistics, physics, or a related quantitative field.
- Strong Python programming skills.
- Understanding of data manipulation using SQL, PySpark, or Scala.
- Foundation in statistics, machine learning, and risk or reliability modeling.
- Ability to work independently under uncertainty on open-ended problems.
- Currently enrolled in a relevant B.S. or M.S. program.
- Available for a minimum three-month assignment and at least 20 hours per week.
- Able to work onsite at a Zoox office location.
Nice-to-haves
- Experience with safety, reliability, or risk modeling, including survival analysis, Bayesian methods, or causal inference.
- Experience with large-scale dataset management, data pipelines, or MLOps tooling.
- Background in autonomous vehicles, robotics, or a related quantitative discipline.
- Prior research experience taking ambiguous, end-to-end problems from inception to results independently.
- Strong written, verbal, teamwork, and collaboration skills.
Skills
Python, SQL, Pyspark, Scala, Statistics, Machine Learning, Risk Modeling, Reliability Modeling, Survival Analysis, Bayesian Methods, Causal Inference, Data Pipelines, MLOps, Dataset Management
Similar jobs
Data Engineering jobs
Bevi
Boston, MA
Build and maintain dbt models, Snowflake semantic layers, and ingestion pipelines across business functions while improving data quality and resilience. The role requires 4–6 years of analytics or data engineering experience, strong dbt and SQL expertise, and a quantitative bachelor's degree.
Anthropic
San Francisco, CABuild and govern quote-to-cash data models and products integrating Salesforce, CPQ, billing, and finance systems. The role requires 5+ years of data engineering experience, strong SQL and Python skills, and expertise in self-service analytics for GTM teams.
Cloudflare
Atlanta, GABuild and scale distributed data platforms, database systems, delivery services, and APIs, with emphasis on reliability, performance, observability, and data integrity. Requires 3+ years of software development experience with distributed systems and databases; Golang experience is preferred.
Astera
Emeryville, CA
Oversee the lifecycle, quality, governance, and publication of research data across scientific programs. The role requires 3–5+ years of research data-management experience, strong metadata and FAIR-data expertise, and the ability to collaborate with researchers and engineers.
Upside
Washington, DCOwn and evolve trusted data models for Marketing and Product use cases, from design and testing through monitoring and documentation. The role requires 3–5 years of data or analytics engineering experience, strong SQL and Python, dbt expertise, and Snowflake or comparable warehouse experience.