Qlose Recruitment & Consulting AB

ML Research Engineer to Klang AI

Qlose Recruitment & Consulting AB
SE Helsingborg, Skåne län
Onsite 2026-07-02
Estimated salary · Helsingborg
~ SEK 572,400 - SEK 800,400
iampro estimate — the employer published no figure
Estimated net pay
SEK 37,053 - SEK 47,620
/month · 22% withheld
after tax & contributions · on the estimated salary · Individual taxation — marital status and dependents do not affect it

Job description

We're looking for an ML Research Engineer to join Klang AI, a fast-growing product company developing advanced AI solutions within speech and language technology. Klang AI develops advanced AI solutions designed for organisations where security, privacy and trust are essential. In many environments, it's not enough for AI to be powerful—it also needs to be transparent, reliable and built with data protection and compliance at its core. That's why Klang AI's products are trusted by organisations across the public sector, legal industry and research, helping transform meetings, interviews and client conversations into searchable transcripts, intelligent summaries and actionable insights. With more than 100,000 users, you'll have the opportunity to solve challenging technical problems while building AI that people can truly trust. As an ML Research Engineer, you will: Train, fine-tune and improve machine learning and generative AI models Design and evaluate algorithms, experiments and benchmarking frameworks Work with datasets, data quality and model performance Build scalable systems that bring AI research into production Collaborate closely with the R&D team on technical decisions, research and product development Who are we looking for? We're looking for someone who enjoys solving difficult technical problems and is genuinely curious about advancing modern AI. You thrive in environments with a high degree of ownership, enjoy learning new things and like turning ideas into working systems. We believe you: Have strong Python skills and solid software engineering fundamentals Have a strong understanding of machine learning and modern generative AI Enjoy driving open-ended technical challenges from idea to implementation Can clearly communicate technical reasoning and collaborate well with other engineers Use modern AI tools effectively to accelerate your work Experience in one or more of the following areas is highly meritorious: Large-scale mod