
1001 - 5000 employees
Founded 2000
đœïž Food & Beverage
đŠ Logistics
đȘ Marketplace
Food & Beverage âą Logistics âą Marketplace
Takeaway. com is the leading online food delivery marketplace in Continental Europe and Israel. The company connects consumers with restaurants through its platform, operating in 14 different countries including the Netherlands, Germany, Belgium, Poland, Austria, Switzerland, Portugal, Luxembourg, Romania, Bulgaria, Israel, France, Denmark, and Norway. As a dominant player in the online food delivery service, Takeaway. com facilitates easy and convenient access to a wide variety of dining options for its users.
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1001 - 5000 employees
Founded 2000
đœïž Food & Beverage
đŠ Logistics
đȘ Marketplace
Food & Beverage âą Logistics âą Marketplace
Takeaway. com is the leading online food delivery marketplace in Continental Europe and Israel. The company connects consumers with restaurants through its platform, operating in 14 different countries including the Netherlands, Germany, Belgium, Poland, Austria, Switzerland, Portugal, Luxembourg, Romania, Bulgaria, Israel, France, Denmark, and Norway. As a dominant player in the online food delivery service, Takeaway. com facilitates easy and convenient access to a wide variety of dining options for its users.
âą Design and deploy real-time courier pay and boost algorithms balancing supply with delivery demand âą Build constrained optimization and machine learning models to maximize spend efficiency and earnings fairness âą Lead causal inference and experimentation frameworks, including switchback and geo testing âą Partner with Product and Tech to translate marketplace goals into scalable, low-latency production services âą Monitor live model health, triage performance drift, and establish production fail-safes âą Mentor team peers through code reviews and technical guidance
âą Proven hands-on experience developing machine learning models, dynamic pricing algorithms, or constrained optimization systems âą Strong proficiency in Python and SQL âą Experience shipping reliable models into production environments âą Practical knowledge of causal inference and marketplace experimentation, including A/B and switchback test designs âą Commitment to designing fair and transparent algorithmic incentives âą Excellent communication and cross-functional collaboration skills âą Proven ability to leverage AI agents for data analysis, coding, code reviews, and technical workflows âą Experience deploying and maintaining low-latency, real-time streaming ML systems (preferred) âą Background in on-demand logistics, ride-hailing, food delivery marketplaces, or algorithmic revenue management (preferred) âą Familiarity with Kafka, Google BigQuery, AWS S3, DynamoDB, Kinesis, or modern ML tracking platforms (preferred) âą Experience with GPS traces, spatial indexing such as H3 or S2, and fine-grained time-series forecasting (preferred)
âą Fun, fast-paced and supportive culture âą Inclusive culture focused on Inclusion, Diversity & Belonging âą International impact and collaboration with well-known brands âą Movement, growth and celebration of employees
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