Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- Software engineer on the perception mapping team at Zoox developing ML models for autonomous vehicle understanding. Key contributor to online mapping initiative with responsibilities in data gathering and model training.
Responsibilities
- Curate, validate, and label datasets for model training and validation
- Research, implement, and train ML models to perform semantic map element detection
- Closely collaborate with validation teams to formulate and execute model validation pipelines
- Integrate models into the greater onboard autonomy system within compute budgets
- Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions
Requirements
- MS or PhD or equivalent experience (5+ years) in Computer Science or related field
- Experience in computer vision or robotics
- Experience with training and deploying deep learning models
- Experience with with Python libraries (pytorch, numpy)
Benefits
- paid time off (e.g. sick leave, vacation, bereavement)
- unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- health insurance
- long-term care insurance
- long-term and short-term disability insurance
- life insurance
Job title
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