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Research Engineering Lead

Lovable · On-site

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Last seen by MeritLog September 9, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Lovable's Ashby job board and last checked it on September 9, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
Not listed by source
Location
Stockholm

Hiring context

How this role compares at Lovable

Lovable has 82 live roles in MeritLog’s catalog across 11 job families, and 32 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.

Lovable concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • 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
  • 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
  • Fill in a short form then jump on an intro call with the team.
  • Complete the take-home exercise
  • Show us how you approach problems during two technical interviews
  • 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.
  • 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

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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 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, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software. 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

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