search Browse Jobs
AI Research Engineer, Post-TrainingLovable · Stockholm
Lovable logo

Lovable

company page ↗

AI Research Engineer, Post-Training

🗓️ Posted 2026-04-28 Stockholm Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 65,000 SEK–90,000 SEK/mo

About the Company

TL;DR: Lovable lets over 2 million people build software using plain language, and the models behind it need to be exceptional. We're hiring an engineer who has gotten their hands dirty with post-training at scale and wants to do it again for one of the fastest-growing AI products in the world. You'll own our full post-training pipeline: translating the latest research into production training recipes, adapting them for code generation and agent workloads, and putting improved models in front of users fast. The goal is to get promising research into production within days or weeks, not months. This isn't an academic research position - you'll spend as much time in production infrastructure as in training configs, and your success is measured by what ships. Why Lovable Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we're just getting started. We're building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense,

Responsibilities

  • ● Own the full lifecycle of Lovable's post-training pipeline - from data curation and training runs through evaluation and deployment
  • ● Apply and adapt reinforcement learning, preference optimization, and supervised fine-tuning methods to make our models better at generating code, reasoning about user intent, and acting as reliable agents
  • ● Build the evaluation and experimentation infrastructure that tells us whether a model change actually helps users - covering helpfulness, safety, latency, and reliability
  • ● Develop and operate the production systems that run training jobs at scale, including GPU orchestration and data pipelines
  • ● Work across team boundaries with our agent, product, and infrastructure engineers to turn model gains into product improvements users can feel
  • ● Investigate and resolve failures end-to-end - whether the root cause is in a training recipe, a data issue, or a serving regression
  • ● Read papers, run experiments, and move fast: the goal is to get promising research into production within days or weeks, not months
  • ● About your application
  • ● Please submit your application in English. It's our company language, so you'll be speaking lots of it if you join.
  • ● We treat all candidates equally - if you're interested, please apply through our careers portal.