4 months ago
Stockholm, SwedenStaff+
Responsibilities
- Design and execute experiments grounded in real coding and product use cases.
- Define, track, and optimize product-centric LLM performance metrics.
- Own training pipelines, distillation workflows, and synthetic data generation systems.
- Work with infrastructure and product engineers to scale and ship model improvements.
- Partner with engineering leads to hire and develop a world-class technical team.
- Mentor researchers and engineers and lead collaborative projects across research, engineering, and product teams.
Requirements
- Experience leading or contributing to cutting-edge LLM research at top AI labs.
- Experience fine-tuning large-scale transformer models on code, natural language, and multimodal datasets.
- Experience developing state-of-the-art code-generation models.
- Strong experimental design and model evaluation skills.
- Leadership experience building, mentoring, or guiding research and engineering teams.
- Published research at top ML or AI conferences on LLMs, code intelligence, or agentic reasoning is a bonus.
Benefits
- The hiring process includes an intro call, take-home exercise, two technical interviews, and a two-day trial work period, preferably on-site.
- The company operates from Stockholm with teams in London, Boston, New York, and San Francisco.
- Applications should be submitted in English, the company language.
About Lovable
Lovable builds an AI-native software creation platform that lets people build apps and websites by chatting with AI, along with tools such as gptengineer.app. It serves solopreneurs, small businesses, and enterprise teams, and users have created over 60 million projects since its November 2024 launch, with customers including Adidas and Zendesk. The company is privately held and headquartered in Stockholm.