EarnIn is looking to solve the problem of providing real-time financial flexibility for individuals living paycheck to paycheck by building state-of-the-art machine learning capabilities
Requirements
- Strong programming skills in Python, with familiarity in 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
- 7+ years of industry machine learning experience and excellent software engineering skills
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 the reproducibility of results
- 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. Be the catalyst for step-jump changes
- Be a mentor, coach, leader and inspiration to those around you
Other
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field, or relevant equivalent experience
- Strong communication and collaboration skills
- Passion for learning and staying updated with the latest machine learning and platform engineering industry trends
- 2 days a week in-office work in Mountain View (Headquarters)
- Ability to work in a hybrid environment
