Principal ML Systems Engineer, Data Platform (Autonomous Vehicles)
USD 233K-339K Senior-level Full Time
Tasks
- Build self serve capabilities and drive adoption
- Conduct technical interviews and onboard and mentor engineers
- Deliver end-to-end technical projects
- Design and develop distributed ML data platform
- Improve systems and processes
- Lead multi-cloud platform strategy
- Own technical decisions and tradeoffs
- Participate in planning, code reviews, and design discussions
- Translate stakeholder needs into requirements
Perks/Benefits
- Company vehicle
- Employee assistance program
- Hybrid work schedule
- Paid vacation and holidays
- Relocation benefits
- Tuition assistance programs
Skills/Tech-stack
Apache Beam | Apache Spark | C++ | Cloud platform | Cost Optimization | Data Ingestion | Data Processing | Data platform | Data platform architecture | Data serving | Distributed Systems | Feature Engineering | GCP | Google Cloud | Google Cloud Platform | High Throughput | High throughput low latency | Java | Low Latency | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model Training | Model Validation | Performance Tuning | Platform Architecture | Python | Reliability Engineering | SQL
Education
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