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Open nowPosted 757 days ago

Senior Machine Learning Engineer

casaphq4 open roles

Where
San Francisco, CA
Work mode
Hybrid
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Your applicationOpen nowSenior Machine Learning Engineercasaphq · San Francisco, CA

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on casaphq's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 757 days ago

The posting

About Casap

Casap is a Series A startup that has raised over $30M from Emergence, Lightspeed, and Primary Ventures. Based in San Francisco, the company was founded by product leaders from Robinhood and Chime. We are on a mission to change the way banks operate by automating disputes and fighting friendly fraud. People love what we’ve built, from everyday users to the biggest names in finance.

Casap is looking for a talented Machine Learning Engineer in San Francisco excited to supercharge how banks operate with a rapidly scaling product at the forefront of automation and Artificial Intelligence

What You’ll Do

  • Develop and implement machine learning models to evaluate disputes and chargebacks and likelihood of fraud
  • Create and manage an orchestration layer for multiple models, enabling automated and supervised decision-making processes
  • Collaborate with stakeholders to leverage valuable data from partners and customers, ensuring a continuously learning experience and first-class user experience

What We Look For

  • 3+ years of experience designing and deploying ML models in a high-scale production environment.
  • Strong knowledge of machine learning algorithms and data analysis techniques.
  • Enthusiastic about building ML infrastructure from scratch in a nascent environment.
  • Ability to think like a product engineer, balancing technical innovation with practical application and user needs.
  • Strong proficiency in programming languages like Python, R, or similar, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Excellent problem-solving skills and the ability to work independently and in a collaborative team environment.
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