Staff Software Engineer, Machine Learning

Match Group
Seoul
Workplace: HybridFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: mastersSkills: ["Decision-making","Leadership","Mentoring","Collaboration","Navigating ambiguity"]

Lead the modeling efforts behind Tinder’s recommendation system, applying advanced machine learning methods (deep learning, reinforcement learning, causal inference, optimization) to improve foundational models. Build algorithms that balance multiple objectives across Tinder’s complex ecosystem, work with big data to enhance recommendation accuracy and relevance, and collaborate with ML, backend, and product teams to integrate models and drive user and business outcomes.

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Match Group
Match Group
2 days ago

Staff Software Engineer, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead the modeling efforts behind Tinder’s recommendation system, applying advanced machine learning methods (deep learning, reinforcement learning, causal inference, optimization) to improve foundational models. Build algorithms that balance multiple objectives across Tinder’s complex ecosystem, work with big data to enhance recommendation accuracy and relevance, and collaborate with ML, backend, and product teams to integrate models and drive user and business outcomes.
Location: Seoul
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the modeling efforts of Tinder’s recommendation system.
  • •Apply state-of-the-art ML techniques to enhance foundational models.
  • •Develop algorithms that optimize Tinder’s complex ecosystem against multiple objectives.
  • •Lead research and development of novel algorithms and models at the forefront of ML advancements.
  • •Work with big data and collaborate with ML, backend engineers, and product managers to integrate models and improve user experience.

Key Requirements

  • •8+ years of hands-on machine learning experience delivering impactful solutions at scale.
  • •PhD or MS in machine learning, computer science, statistics, or another highly quantitative field.
  • •Hands-on experience designing and building large-scale recommendation systems.
  • •In-depth knowledge of deep neural networks, particularly for recommendations.
  • •Proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) and programming languages such as Python, Java, or Scala.
Experience:8+ years
Education:Master's in machine learning, computer science, statistics
Skills:Decision-makingLeadershipMentoringCollaborationNavigating ambiguity
Languages:English
Tech Stack:Machine learningDeep learningReinforcement learningCausal inferenceOptimizationPyTorchTensorFlowKerasPythonJavaScalaRecommendation systemsDeep neural networks

Company Brief

Match Group
Operates a portfolio of consumer dating products and services, including Tinder, Match.com, PlentyOfFish, and Hinge, connecting millions of users globally through mobile and web platforms.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dallas, United States
Founded: 1995
Glassdoor
Glassdoor: 3.8
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