Earnin-posted 3 months ago
$360,000 - $440,000/Yr
Full-time • Senior
Hybrid • Mountain View, CA
251-500 employees
Publishing Industries

Machine learning is the crucial enabler for every financial service that EarnIn provides to its community members. We are going through transformative investments in machine learning platforms and algorithms. This is an exciting opportunity for a Senior Staff Machine Learning Engineer/ Technical Lead Manager to lead a talented team of ML Platform Engineers and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. This is a hands on leadership role with significant product and company impact.

  • 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.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 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.
  • Strong communication and collaboration skills.
  • Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering.
  • Equity and benefits
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