Senior Machine Learning Engineer

Pioneer in earned wage access, building products for real-time financial flexibility for those living paycheck to paycheck.
$272,700 - $333,300
Machine Learning
Senior Software Engineer
Hybrid
7+ years of experience
AI · Finance

Description For Senior Machine Learning Engineer

EarnIn, a pioneer in earned wage access, is revolutionizing financial services through innovative machine learning solutions. As one of the first companies in the earned wage access space, they're backed by prestigious investors like A16Z, Matrix Partners, DST, and Ribbit Capital. The company is seeking a Senior Machine Learning Engineer to join their transformative journey in Palo Alto.

The role focuses on leveraging cutting-edge ML technologies, including large language models and generative AI, to create groundbreaking solutions that deliver both business and social impact. The position offers an opportunity to work with state-of-the-art machine learning algorithms while contributing to a mission that helps people manage their finances more effectively.

The ideal candidate will bring 7+ years of ML experience and strong software engineering skills, with expertise in Python and modern ML frameworks. They'll be responsible for designing, developing, and deploying ML models, working with LLMs, and driving data-driven decision-making across the organization. The position requires a blend of technical expertise and leadership skills, as you'll be mentoring junior team members and collaborating across teams.

Working in a hybrid environment (2-3 days in office) in Palo Alto, you'll be part of a diverse and inclusive team that's committed to building a financial system that works for everyone. The compensation package includes a competitive base salary range of $272,700 - $333,300, plus equity and benefits, reflecting the company's investment in top talent.

Last updated a month ago

Responsibilities For Senior Machine Learning Engineer

  • Design, develop, A/B test, and deploy machine learning models
  • Train, fine-tune, evaluate, and operationalize large language models (LLMs) and AI agents
  • Continuously improve model performance using latest research and open-source tools
  • Champion data-driven decision-making and maintain scientific rigor
  • Collaborate with ML platform engineers to optimize tools and processes
  • Explore and integrate cutting-edge technologies
  • Mentor junior team members
  • Lead by example and drive transformative change

Requirements For Senior Machine Learning Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 7+ years of experience in machine learning with strong software engineering skills
  • Proficiency in ML techniques, including LLMs, deep learning, sequence models, and tree-based models
  • Advanced programming skills in Python and experience with ML frameworks
  • Experience with cloud-based ML platforms (AWS Sagemaker, Databricks, GCP Vertex AI)
  • Experience with modern LLM stack: foundation models, APIs, guardrails, frameworks
  • Strong communication and collaboration skills
  • Passion for continuous learning and staying updated on industry trends

Benefits For Senior Machine Learning Engineer

Equity
  • Equity

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