Research Engineering Lead

TL;DR - We're looking for a hands-on research and engineering leader to get the best performance out of commercial and open source frontier models, in order to power the future of AI software engineering. You'll own experiments end-to-end-from dataset design to model alignment and performance optimization. Must be curious, experimental, and obsessed with squeezing the most out of models.ae

Why Lovable?
Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we're just getting started.

We're a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.

What we're looking for

• Led or contributed to cutting-edge LLM research at top AI labs
• Fine-tuned large-scale transformer models on datasets including code, natural language, and multimodal inputs`
• Developed state-of-the-art models for code generation
• Designed high-quality experiments and have strong sense for effective evaluation
• A natural leader obsessed with building the best technical team in the world
• Mentored team of researchers / engineers, and led collaborative projects across research, engineering, and product teams
• Bonus: Published at top ML/AI conferences on LLMs, code intelligence, or agentic reasoning

What you'll do
In one sentence: Build the most powerful ensemble of LLMs into lovable products.

• Design and execute experiments grounded in real coding and product use cases
• Define, track and optimize product-centric LLM performance metrics
• Partner with engineering leads to hire and hone a world-class team
• Own training pipelines, distillation workflows, and synthetic data generation systems
• Work closely with infra and product engineers to scale and ship model improvements

Our tech stack
We're building with tools that both humans and AI love:

• Frontend: React for lightning-fast interfaces
• Backend: Golang and Rust for serious performance
• Cloud: Cloudflare, Google Cloud Run, AWS, Terraform
• DevOps & Tooling: CI/CD pipelines, observability, infra-as-code

And always on the lookout for what's next!

How we hire

1. Fill in a short form then jump on an intro call with the team.
2. Complete the take-home exercise
3. Show us how you approach problems during two technical interviews
4. Join us for trial work lasting 2 days preferably on-site. We'll see how you tick and you get to meet the team and explore whether joining Lovable feels right for you.
   

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