Salary
💰 $130,000 - $150,000 per year
Tech Stack
AWSCloudPythonPyTorchRayScikit-LearnSQLTensorflow
About the role
- Contribute to greenfield projects
- Develop data pipelines supporting ML model development and applications
- Experiment with emerging technologies and contribute to designing new ML models and systems
- Collaborate with server engineering team to improve existing machine learning models and tooling
- Use Kanban to manage multiple releases per week
- Maintain high code quality through code reviews and automated tests
Requirements
- Hands-on experience implementing production machine learning systems at scale in Python
- Expertise with Python ML libraries like TensorFlow, PyTorch, Scikit-Learn
- Familiarity with ML tools like MLFlow, Ray Serving
- Familiarity with building data pipelines including SQL and manipulating large structured or unstructured datasets for analysis
- Familiarity with AWS and Google Cloud big data products
- Ability to use Kanban for release management
- Maintain high code quality through code reviews and automated tests
- Enjoy collaboration with product, biz dev, and QA teams
- Candidates must be currently legally authorized to work in the United States