Par vakanci
Build the intelligence layer behind products by turning behavioral data from over a million businesses into predictions and actions. The role covers classical predictive modeling and applied LLM work, including fine-tuning models for a goal-driven assistant.
Responsibilities
- Develop classical predictive models using large-scale behavioral data
- Work on applied LLM projects
- Fine-tune models to power a goal-driven assistant
Conditions
- Remote work from anywhere
- 4-hour overlap with CET required
- EUR 55,000–80,000 per year
- Middle or senior level
About the company and product
MailerLite's products serve over a million businesses.