EarnIn is seeking experienced ML platform engineers to shape and execute their vision of bringing state-of-the-art capabilities to their machine learning stack, as machine learning is the crucial enabler for every financial service EarnIn provides its community members.
Requirements
- 4+ years of industry machine learning experience and excellent software engineering skills.
- 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.
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.
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.
- This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week.
