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Machine Learning Engineer
2 months 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 helps customers solve their problems easily and automatically. Cash App holds people's money, and building customers' trust is absolutely essential to our brand. Providing fast and reliable help whenever the customer needs it is a major component of building that trust.
Machine Learning is at the heart of our customer support, and we are looking for a senior modeler to build high-quality conversational support experiences.
As a modeler on the Customer Support Experience team, you will:
- Build the future of conversational support using Large Language Models
- Train and deploy NLP models that understand customer inquiries
- Scale cutting-edge model techniques to Cash App's huge volume of data
We are a versatile team that combines deep technical expertise with a focus on quality customer experiences. If you want to be at the forefront of translating emerging technologies into real-world value, please join us
Technologies we use (and teach):
- Python (NumPy, 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
