Machine Learning Engineer II developing production - grade ML models for fraud detection at GEICO. Collaborating on system architecture and ensuring optimal performance of fraud assessment systems.
About the role
- Machine Learning Engineer focusing on modeling cancer cells and developing related tools. Collaborating with researchers and scientists to advance cancer treatment through ML.
Responsibilities
- Integrating new research with production systems
- Developing tooling
- Working with multiple research teams to find the best implementations for new ideas
Requirements
- Min. 3 years of experience in a machine learning / data heavy industrial environment
- Familiarity SQL databases
- Strong applied knowledge of Python
- Familiarity with the basics of cloud computing, with some experience in Azure, AWS, or GCP
- Good understanding of machine learning fundamentals
- Hands-on experience with at least one modern, high-performance machine learning framework, such as TensorFlow, PyTorch, or JAX
- Proficiency in designing and writing complex, modular code
- Domain Knowledge: Familiarity with cell, cancer, or immune biology is advantageous
Benefits
- Continuous Learning
- Opportunity to work closely with ML scientists, engineers, and bioinformaticians
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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