Senior Platform Machine Learning Engineer

Earnin • Mountain View, CA

82d • $232,200 - $283,800 • Hybrid

About The Position

Machine learning is the crucial enabler for every financial service EarnIn provides its community members. We are going through transformative investments in machine learning platforms, algorithms, and generative AI. We seek experienced ML platform engineers to shape and execute our vision of bringing state-of-the-art capabilities to our machine learning stack.

Requirements

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

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.

Benefits

• Base salary range of $232,200 to $283,800, plus equity and benefits.
• Hybrid position requiring in-office work 2 days a week.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees