Staff Machine Learning Engineer - ML Algorithms

Mountain View, US

 

POSITION SUMMARY

Machine learning is integral to every financial service we provide. As we embark on a transformative phase, EarnIn is making significant investments to innovate and set new standards in ML applications within fintech. We are seeking skilled engineers to create groundbreaking solutions with large language models, generative AI, and advanced machine learning algorithms, generating substantial business and social impact.

Machine learning is the enabler for every financial service Earnin provides its community members. We are going through transformative investments in machine learning. We aim to lead the innovation and operational excellence in machine learning for the fintech industry. We seek experienced engineers to create first-of-a-kind success stories through large language models, generative AI, and state-of-the-art machine learning algorithms and realize outsize business and social impact.
 
The Mountain View base salary range for this full-time position is $272,700 - $333,300 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View and will require in-office work 2-3 days a week.

WHAT YOU'LL DO
  • Design, develop, A/B test, and deploy machine learning models that drive EarnIn’s products.
  • Train, fine-tune, evaluate, and operationalize large language models (LLMs) and AI agents, delivering radical efficiency gains to our core processes.
  • Continuously improve model performance by leveraging the latest research and open-source tools.
  • Champion data-driven decision-making and maintain scientific rigor in the deployment of ML solutions.
  • Collaborate closely with ML platform engineers to optimize tools and processes for stability and reproducibility.
  • Explore and integrate cutting-edge technologies to enhance EarnIn’s ML capabilities.
  • Mentor junior team members, offering guidance and technical expertise.
  • Lead by example, fostering an environment of operational excellence and driving transformative change.

WHAT WE'RE LOOKING FOR

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 7+ years of experience in machine learning with strong software engineering skills.
  • Proficiency in a broad range of ML techniques, including LLMs, deep learning, sequence models, and tree-based models.
  • Advanced programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • Hands-on experience with cloud-based ML platforms (e.g., AWS Sagemaker, Databricks, GCP Vertex AI).
  • Hands-on experience with modern LLM stack: foundations models and APIs such as Open AI and Andtropic; LLM guardrails, framework such as LangGraph, LangChain; ML flow.
  • Strong communication and collaboration skills.
  • Passion for continuous learning and staying updated on industry trends.
#LI-Hybrid

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