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About the Role

Wolt's AdTech & Promotions team is building machine learning and optimization systems for advertising and promotions across their marketplace. This role involves developing impactful, reliable, and scalable ML systems that directly influence revenue and advertiser success.

Responsibilities

• Design, build, and productionize ML and optimization systems for Wolt’s ads products, including ranking, targeting, campaign optimization, forecasting, and measurement.
• Translate ambiguous business and marketplace problems into clear scientific problem formulations, success metrics, experiments, and production-ready solutions.
• Partner closely with engineering, product, design, analytics, and business teams to shape the ads roadmap and ensure science work translates into measurable advertiser and marketplace impact.
• Improve the quality, relevance, efficiency, and commercial performance of ads across Wolt’s consumer and merchant experiences.
• Provide technical leadership across the team by mentoring others, reviewing scientific and technical designs, raising the bar for experimentation, and contributing to hiring.
• Contribute to the broader applied science community at Wolt by sharing methods, reusable patterns, and learnings from ads problems.

Requirements

• Significant experience building and productionizing machine learning, ranking, recommendation, search, or optimization systems in high-scale consumer or marketplace environments.
• Expertise in building robust, scalable models suitable for large-scale deployments, managing the entire lifecycle of ML projects.
• Solid educational background and practical skills in modeling and statistics.
• Skilled in writing production-level Python code and following engineering best practices.
• Experience with SQL.
• Ability to productionalize ML solutions with ML tooling.
• Excellent communication and stakeholder management skills, able to communicate complex technical concepts to non-technical audiences.
• Analytical problem-solving skills, able to break down complex business challenges into solvable machine learning problems.
• Understanding of experimental methodologies and analysis.
• Curiosity and practical enthusiasm for using modern AI tools and agents.

Skills

• Machine Learning
• Optimization
• Ranking
• Targeting
• Campaign Optimization
• Forecasting
• Measurement
• Python
• SQL
• AI

Experience Level

• Senior

Benefits

• Competitive base salary
• DoorDash RSUs

About the Company

• Wolt creates technology that brings joy, simplicity and earnings to neighborhoods worldwide, starting with food delivery and expanding to almost everything.
• Wolt operates in over 500 cities in 30 countries and joined forces with DoorDash in 2022.
• Working at Wolt is exciting, offering opportunities to learn, build, and ship more, with challenges and fun along the way.
• The AdTech & Promotions team builds machine learning and optimization systems powering advertising and promotions, covering areas like conversion modeling, retrieval, auction, campaign optimization, forecasting, measurement, and advertiser-facing tooling.
• The company is investing in new capabilities combining real-time data, scalable systems, and user experiences for growth.

Equal Opportunity

• Wolt is committed to growing and empowering a more inclusive community.
• They 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.