Staff Machine Learning Engineer, Growth
Tasks
- Collaborate with ML engineers, data scientists, and product managers
- Communicate ML concepts to technical and non technical stakeholders
- Define and own ML technical roadmap
- Design implement ML availability scalability and operational excellence
- Ensure ethical responsible ML and privacy compliance
- Implement ML cost management
- Incorporate cutting edge ML research and best practices
- Lead end to end development of production grade ML systems
- Mentor and educate ML Engineers
Perks/Benefits
- 401k matching
- Date stipend
- Employee resource groups
- Fertility support
- Free Hinge premium
- Free Udemy access
- Learning and development stipend
- Paid parental leave
Skills/Tech-stack
AWS | Airflow | Argo | Artificial Intelligence | Automated testing | Azure | Batch Processing | CI/CD | Causal Inference | Data Preprocessing | Data Storage | Data cleaning | Data collection | Deep learning | Docker | GCP | Interventional Data Collection | Kubernetes | Machine Learning | Model versioning | PyTorch | Python | Ray | Streaming Pipelines | TensorFlow | Uplift Modeling | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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