EarnIn is looking to invest in machine learning platforms and algorithms to provide real-time financial flexibility to its community members. The company needs to bring state-of-the-art capabilities to its machine-learning stack.
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.
- Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering.
Responsibilities
- Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production.
- Lead and mentor a team of ML engineers, deeply understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results.
- Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers.
- Evaluate and adopt emerging technologies to continually advance the organization’s machine learning capabilities and maintain a competitive edge.
- Champion operational excellence, setting a high bar for engineering quality, reliability, and automation.
- Act as a catalyst for innovation, spearheading step-change improvements that unlock new opportunities for growth and efficiency.
Other
- Lead and mentor a team of ML engineers
- Strong communication and collaboration skills.
- This is a hybrid position in Mountain View, requiring in-office work 2 days a week.
