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Machine Learning Engineer
1 month ago
Company Description
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
Check out our locations, benefits, and more at cash.app/careers.
Job Description
The Customer Support Experience team aims to create better-than-human Customer Support experiences by providing better than human chatbot automation, and providing our support advocates real-time intelligent assistance empowered by Gen AI models. Cash App holds people's money, and building customers' trust is absolutely essential to our brand. Our team builds this trust by getting customers the help they need quickly, respectfully, and automatically.
Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality support experiences.
As a modeler on the Customer Support Experience team, you will:
- Build the Cashbot, Cash App's customer support chatbot
- Understand customer inquiries to deliver the help they need
- Use smart tooling and recommendation systems for ML facilitated customer/support agent interactions
- Engineer repeatable, high-throughput modeling pipelines
- R&D on the next generation of chatbots using LLMs and AI
Technologies we use (and teach):
- Python (Pandas, sklearn, TensorFlow, PyTorch, keras, etc.)
- Snowflake and GCP
- Transformer models (BERT, LLMs, etc.)
Qualifications
You have:
- 5+ years experience with applied Machine Learning or Deep Learning
- A graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical field
- Worked with Product, Design, and Engineering to prioritize, scope, design, and deploy ML models
- A track record of providing mentorship and technical leadership
- An appreciation for the connection between the software you build and the experience it delivers to customers
Qualifications
You have:
- 5+ years experience with applied Machine Learning or Deep Learning
- A graduate degree in Computer Science, AI, ML, Applied Math, Stats, Physics, or a related technical field
- Worked with Product, Design, and Engineering to prioritize, scope, design, and deploy ML models
- A track record of providing mentorship and technical leadership
- An appreciation for the connection between the software you build and the experience it delivers to customers
