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About the Role

As an Applied Scientist in Consumer, you’ll advance the ML models and methods that power how customers across DoorDash, Deliveroo, and Wolt find and discover content. You’ll work end-to-end collaborating closely with engineers and product managers to deliver real impact.

Responsibilities

• 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.

Requirements

• 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).
• Solid experience in Search: query understanding, query intent prediction, or semantic search.
• Proficient in Python and experienced with ML frameworks and large-scale data processing.
• Communicate complex technical ideas clearly and collaborate effectively with cross-functional teams.

Skills

• NLP
• dense retrieval
• learning-to-rank
• embedding-based methods

Location

• Berlin
• Helsinki
• Stockholm
• Remote (Finland)
• Remote (Sweden)
• Remote (Germany)

Work Type

• Remote
• Onsite

Experience Level

• 4+ years

Education Level

• PhD in ML

Benefits

• Relocation support

About the Company

• Wolt creates technology that brings joy, simplicity and earnings to the world.
• Wolt started with delivery of restaurant food and now builds the delivery of (almost) everything.
• Wolt is part of DoorDash, forming one of the world's largest local commerce platforms.
• The Consumer organisation sits at the intersection of machine learning and customer experience, responsible for helping millions of customers find the right restaurants, dishes, and items.
• This domain involves global scale, technically challenging ML problems, and immediate, measurable impact.

Equal Opportunity

• We’re committed to growing and empowering a more inclusive community within our company, industry, and cities.
• We hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives.
• True innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.