over 1 year ago
Base Salary
$197k - $252k/yr
Responsibilities
- Research, implement, and improve auto-labeling algorithms for model training and prototyping.
- Evaluate auto-labeled data quality and establish feedback loops to improve model performance.
- Integrate auto-label datasets and pipelines into the Dataloop platform.
- Develop scalable, high-performance pipelines for multimodal data and versioned datasets.
- Contribute to data mining tools, labeling platforms, dataset management applications, and data-driven machine learning processes.
- Define problems and opportunities and iterate the application roadmap with stakeholders.
- Stay current with autonomous-driving perception and machine learning trends, especially auto-labeling and unsupervised learning.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- 5+ years of experience in software engineering and data-driven machine learning development.
- Experience with data management tools and frameworks.
- Strong communication and collaboration skills in a cross-functional environment.
- Preferred: experience with Ray or other scalable AI computation frameworks.
- Preferred: experience with human labeling or auto-labeling.
- Preferred: machine learning development experience in the autonomous-driving industry.
Benefits
- Paid time off, including sick leave, vacation, and bereavement leave.
- Unpaid time off.
- Zoox Stock Appreciation Rights and Amazon Restricted Stock Units.
- Health, long-term care, disability, and life insurance.
Categories
Data EngineeringML Engineering
About Zoox
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.