Applied Scientist / Machine Learning Engineer

Requirements

• You have 4+ years of hands-on experience in applied ML with a track record of shipping models to production (a PhD in ML with applied research experience is equally welcome).
• You have solid experience in Search: query understanding, query intent prediction, or semantic search.
• You are proficient in Python and experienced with ML frameworks and large-scale data processing.
• You communicate complex technical ideas clearly and collaborate effectively with cross-functional teams.
• Experience with NLP, dense retrieval, learning-to-rank, or embedding-based methods is a strong plus.

What you'll be doing

• Design and develop ML models for search relevance, query understanding, and ranking that operate across DoorDash, Deliveroo, and Wolt’s 40+ markets.
• Bring state-of-the-art solutions to our stack for the delight of our customers, helping the team to impact business metrics.
• Work end-to-end on ML problems: from problem framing and data analysis through model development, offline evaluation, and production monitoring.
• Collaborate with Software Engineers, ML Engineers, Product Managers, and Analysts to translate research insights into real customer impact.
• Contribute to our group-wide Applied Science community through knowledge sharing, technical reviews, and raising the bar on ML practices.

Perks and Benefits

• In this role, you will have a direct and measurable impact on millions of customers every day.
• You’ll join a team of world-class applied scientists and engineers in DoorDash, Deliveroo and Wolt who care about both rigour and craft, tackling problems that are genuinely hard and impactful in ways that few companies can offer.
• Together with your lead, you will have the opportunity to create a personalised development plan to grow your strengths and to develop new capabilities.
• This role can be based in one of our tech hubs in Berlin, Helsinki, or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany. We also offer relocation support to help you join us.