Machine Learning Engineer

Reposted 19 Days Ago
2 Locations
Hybrid
30-30 Annually
Mid level
Financial Services
Help us solve fraud asap with Casap!
The Role
Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.
Summary Generated by Built In
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.

Responsibilities
  • 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

Qualifications
  • 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.

Skills Required

  • 3+ years of experience designing and deploying ML models in high-scale production environment
  • Strong knowledge of machine learning algorithms and data analysis techniques
  • Ability to build ML infrastructure from scratch in a nascent environment
  • Proficiency in programming languages like Python, R, or similar
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
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The Company
HQ: San Francisco, California
45 Employees
Year Founded: 2023

What We Do

We’re building the world's first AI-native disputes automation and fraud prevention platform. Our mission is to create a future where trust is a given and fraud is rare by empowering financial institutions to automate disputes, eliminate first-party fraud, and turn manual back-office workflows into a loyalty-building moment for customers and members.

Why Work With Us

We’re a Series A startup founded by product leaders from Robinhood and Chime, and we’ve raised over $30M from Emergence, Lightspeed, Primary Ventures, SoFi, and others. We have incredible product market fit, an exceptionally ambitious and kind culture. Over the past 12 months we’ve more than 10x’ed revenue and we’re just getting started.

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