Staff Machine Learning Engineer, Growth
Tasks
- Collaborate with ML engineers, data scientists, and product managers
- Communicate technical and non-technical concepts
- Define and own ML technical roadmap
- Design for availability scalability operational excellence and cost management
- Ensure ethical responsible use of ML AI and privacy compliance
- Keep abreast of ML AI research technologies and best practices
- Lead end to end development of production machine learning systems
- Mentor ML engineers on ML at scale
Perks/Benefits
- 401k matching
- Date stipend
- Employee resource groups
- Fertility support
- Learning and development stipend
- Paid parental leave
- Udemy access
Skills/Tech-stack
AWS | Airflow | Argo | Automated testing | Azure | Batch pipelines | CI/CD | Causal Inference | Data Preprocessing | Data Storage | Data cleaning | Data collection | Deep learning | Docker | GCP | Interventional Data Collection | Kubeflow | Kubernetes | Machine Learning | Machine Learning Serving | Model versioning | PyTorch | Python | Ray | Streaming Pipelines | Uplift Modeling | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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