About the role
Machine Learning Engineer at MailerLite, one of the fastest-growing email-marketing platforms, helping more than a million businesses stay in touch with their customers. This role builds the intelligence layer behind the product.
You would turn the behavioral data of over a million businesses into models and features that make the product smarter, from recommendations and send-time optimization to segmentation and automation driven by real usage. MailerLite is a fully remote team of ~170 people, so you would own ML work end to end with a lot of autonomy. It suits an ML engineer who wants their models shipping directly into a product used at scale by small businesses.
Highlights
- Build recommendations, send-time optimization, segmentation and automation from real usage
- Own ML work end to end with a lot of autonomy
- Fully remote team of ~170 people
- The differentiator is the data: a huge, real behavioral dataset across a million businesses to build on
This recap is dataskew's editorial summary, not the company's copy.