Replit for ML
Slai is growing fast! We’re hiring a Data Scientist to partner with our customers and make them successful with Slai.
As a Data Scientist, you’ll leverage your background in ML to support our customers as they evaluate and adopt Slai. You’ll be on the front lines with customers throughout their lifecycle, from learning about Slai in a sales demo to helping them build models with the product after signing up.
Our users are engineers – you’ll be responsible for building a relationship with them and helping them get the most out of Slai.
Most of your time will be spent collaborating with customers. This could mean helping a customer build a model in real-time, helping to debug a model over a Slack thread, and helping customers learn how to leverage Slai for their end-to-end data science workflow. You’ll serve as a technical point-of-contact for our customers.
You might be a fit for this role if you have:
Slai is building the developer-friendly machine learning platform. We’re a different type of ML platform that enables developers to build state-of-the-art machine learning apps into their products.
Machine learning is eating software, but it’s still difficult for developers to leverage ML in their products. Today, companies are spending months building their own ML platforms, or relying on outdated tools that were originally designed for academics. We have spent our careers building developer tools, and have experienced this problem first hand. The existing solutions for shipping ML models don’t work.
We believe that for ML to reach widespread adoption, the underlying tools need to be redesigned for developers. Slai is unique because the entire ML development process happens in the browser; we manage the runtime, datasets, source control, and underlying cloud infrastructure with a single tool.