Earnin seeks to enhance its machine learning capabilities to deliver real-time financial flexibility to its community members.
Requirements
- Strong programming skills in Python
- Familiarity with ML frameworks such as TensorFlow or PyTorch
- Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI
- Experience with LLM Ops, foundation model APIs and AI engineering
- Familiarity with data pipeline and workflow management tools
Responsibilities
- Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle.
- Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure reproducibility.
- Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform.
- Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities.
- Set examples of outstanding operational excellence.
Other
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
- 4+ years of industry machine learning experience
- Strong communication and collaboration skills
- Passion for learning and staying updated with the latest machine learning and platform engineering industry trends
