EarnIn is looking for an experienced Staff ML platform engineer to shape and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack, as machine learning is the crucial enabler for every financial service EarnIn provides.
Requirements
- 7+ 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 such as AWS Sagemaker, Databricks, or GCP Vertex AI.
- Familiarity with data pipelines and workflow management tools.
Responsibilities
- Design, build, and maintain the ML 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 the evaluation and adoption of new technologies and tools to enhance our machine-learning capabilities.
- Provide technical guidance and mentorship to junior team members.
- Set examples of outstanding operational excellence.
- Be the catalyst of step-jump changes.
Other
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
- Strong communication and collaboration skills.
- Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering.
- This is a hybrid position in Mountain View, requiring in-office work 2 days a week.
