ML Engineer
Workplace: STOCKHOLM, Sverige
Expires: September 15, 2025
Join Lovable Labs Sweden AB as a Founding ML Engineer to shape how large language models (LLMs) and frontier AI models are fine-tuned, served, and evaluated in production, contributing to building truly lovable AI products.
Main requirements:
- Led or contributed to cutting-edge LLM research at top AI labs
- Deep understanding of transformer architectures, attention mechanisms, and model optimization
- Prior work on scalable AI infrastructure at a global leader (e.g. Huawei)
- Experience fine-tuning LLMs on large-scale code, language, or multimodal datasets
- Medalist at the International Math Olympiad or equivalent
- Studied computer science at a globally top-ranked university (top 5) with top grades
- Experience with code generation pipelines and developer-focused AI products
- Built fast, production-level systems with strong practices around reproducibility, monitoring, and model performance
Responsibilities:
- Own training pipelines for LLMs, from data curation to evaluation and deployment
- Fine-tune models on high-quality, domain-specific data including code, natural language, and product usage signals
- Work closely with product engineers to integrate models into user-facing features
- Build retrieval pipelines, evaluation frameworks, and experimentation tools
- Push the limits of current and upcoming open models and help define future training directions
Required hard skills:
- LLM research and development
- Transformer architectures and attention mechanisms
- Model fine-tuning and optimization
- Scalable AI infrastructure development
- Code generation pipelines
- Production system engineering with reproducibility and monitoring
Recommended hard skills:
- Experience with cloud platforms (Cloudflare, Fly.io, Google Cloud Run, AWS)
- DevOps and infrastructure as code (CI/CD pipelines, observability, Terraform)
Soft skills:
- Extreme ownership
- High velocity work ethic
- Low-ego collaboration
- Eagerness to make impactful contributions
- Ability to ship fast
Coding languages:
- Golang
- Rust
- Python
Frameworks:
- React (for frontend integration)
Operating systems:
- Linux-based cloud environments
Natural languages:
- English (Proficient)
Cultural skills:
- Collaborative team player
- Adaptable in a fast-moving startup environment
- Focused on product impact and quality
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