Senior Software Engineer, AI/ML
Tasks
- Analyze evaluation results
- Architect scalable ML systems
- Benchmark ML model latency
- Build data collection infrastructure
- Build end-to-end solutions
- Collaborate with product management and UX
- Deploy ML models to production
- Design ML evaluation framework
- Evaluate data quality
- Identify performance issues
- Lead technical product efforts
- Optimize ML model performance
- Optimize code quality efficiency performance
- Provide technical guidance to peers
- Resolve scalability issues
- Run evaluation experiments
- Suggest modeling improvements
- Translate product requirements into solutions
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | Cloud Architecture | Computer Vision | Data Annotation | Data Versioning | Data pipeline | Deep learning | Edge Computing | GPU Programming | Latency optimization | Machine Learning | Model Deployment | Model Evaluation | Performance optimization | Python | ROS2 | Simulation | Software Architecture | Testing
Education
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