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Data Engineering Team Lead - ML & Robotics Data(m/w/x)
Architecting cloud-based data platforms for ML/robotics model training. 3+ years team leadership experience required. Unlimited PTO, 401k matching.
Requirements
- 3+ years leading/managing technical teams
- 5+ years professional experience in data engineering, ML systems, cloud infrastructure, or related
- Advanced degree (Master’s or PhD) in CS, ML, Data Engineering, or related
- Proven ability to design and scale large-scale data pipelines, platforms, or cloud storage
- Experience building/managing datasets for deep learning systems, ideally multimodal data
- Experience with data lifecycle management, data collection operations, or high-throughput cloud data platforms is a strong advantage
- Strong foundations in Python, cloud data tooling, and modern data/ML engineering practices
- Experience within robotics ecosystems (ROS2 or similar frameworks) is beneficial but not required
Tasks
- Own the end-to-end data lifecycle
- Ensure high-quality datasets for model training
- Define dataset strategy and roadmap
- Support scalable training data for ML models
- Architect a robust cloud-based data platform
- Continuously improve data platform processes
- Operationalize the data lifecycle with clear processes
- Implement KPIs and feedback loops
- Lead and mentor a data team
- Foster technical excellence and ownership
- Partner with Product, Research, and Engineering teams
- Act as central point of contact for data strategy
- Collaborate with robotics and systems teams
- Support data collection in robotics environments
- Support data integration in robotics environments
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ROS2
Benefits
Healthcare & Fitness
- Health insurance
Retirement Plans
- 401k matching
More Vacation Days
- Unlimited PTO
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Data Engineering Team Lead - ML & Robotics Data(m/w/x)
Architecting cloud-based data platforms for ML/robotics model training. 3+ years team leadership experience required. Unlimited PTO, 401k matching.
Requirements
- 3+ years leading/managing technical teams
- 5+ years professional experience in data engineering, ML systems, cloud infrastructure, or related
- Advanced degree (Master’s or PhD) in CS, ML, Data Engineering, or related
- Proven ability to design and scale large-scale data pipelines, platforms, or cloud storage
- Experience building/managing datasets for deep learning systems, ideally multimodal data
- Experience with data lifecycle management, data collection operations, or high-throughput cloud data platforms is a strong advantage
- Strong foundations in Python, cloud data tooling, and modern data/ML engineering practices
- Experience within robotics ecosystems (ROS2 or similar frameworks) is beneficial but not required
Tasks
- Own the end-to-end data lifecycle
- Ensure high-quality datasets for model training
- Define dataset strategy and roadmap
- Support scalable training data for ML models
- Architect a robust cloud-based data platform
- Continuously improve data platform processes
- Operationalize the data lifecycle with clear processes
- Implement KPIs and feedback loops
- Lead and mentor a data team
- Foster technical excellence and ownership
- Partner with Product, Research, and Engineering teams
- Act as central point of contact for data strategy
- Collaborate with robotics and systems teams
- Support data collection in robotics environments
- Support data integration in robotics environments
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- ROS2
Benefits
Healthcare & Fitness
- Health insurance
Retirement Plans
- 401k matching
More Vacation Days
- Unlimited PTO
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Consulteer
Industry
IT
Description
The company delivers performant, reusable assets and pipelines for advanced simulation and robotics systems.
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