C
Casapvia Ashby
Machine Learning Engineer
San Francisco (HQ)Posted 9mo ago
ML EngineerMid LevelFull-time
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About the Role
ABOUT CASAP
Casap https://www.casaphq.com/ 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 https://www.businesswire.com/news/home/20241030764010/en/Money2020-USA-Unveils-Seven-Incredible-Fintech-Startups-And-Industry-Disruptors love https://www.cubroadcast.com/episodes/nacuso24-casaps-dispute-solution-wins-2024-next-big-idea-competition 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.
Casap https://www.casaphq.com/ 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 https://www.businesswire.com/news/home/20241030764010/en/Money2020-USA-Unveils-Seven-Incredible-Fintech-Startups-And-Industry-Disruptors love https://www.cubroadcast.com/episodes/nacuso24-casaps-dispute-solution-wins-2024-next-big-idea-competition 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.
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