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Amsterdam
20 Jul 2026
Senior Machine Learning Engineer, Ads Foundational Representations logo

Senior Machine Learning Engineer, Ads Foundational Representations

Reddit, Inc.

Amsterdam
20 Jul 2026
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Senior Machine Learning Engineer, Ads Foundational Representations

Reddit is hiring a Staff Machine Learning Engineer for the Ads Foundational Representations team, based remotely in the UK or Netherlands. The role involves setting technical direction, leading cross-functional ML projects, and building embeddings for ads, posts, and users. Requires 7+ years of experience, staff-level leadership, and expertise in NLP/CV and deep learning frameworks.

Core AIRemoteFull-timePrincipalMachine LearningDeep Learning

Senior Machine Learning Engineer, Ads Foundational Representations

Reddit is hiring a Staff Machine Learning Engineer for the Ads Foundational Representations team, based remotely in the UK or Netherlands. The role involves setting technical direction, leading cross-functional ML projects, and building embeddings for ads, posts, and users. Requires 7+ years of experience, staff-level leadership, and expertise in NLP/CV and deep learning frameworks.

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Core AIRemoteFull-timePrincipalMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Remote

Experience Required

7 years

Employment Type

Full-time

Experience Level

Staff

Core Qualifications

Technical (Must-have)
Machine LearningDeep LearningPyTorchTensorFlowNLPComputer VisionEmbeddingsLLMsData AnalysisRecommender SystemsSearchAdsTechnical LeadershipMentoringModel Deployment
Soft Skills
CommunicationLeadershipMentoringCollaborationProblem Solving

Preferred Qualifications

Technical (Nice-to-have)
PythonApache AirflowBigQueryRayKubernetesApache KafkaGCP

Key Responsibilities

  • •Providing technical leadership and mentorship to MLEs in the team
  • •Developing technical strategy for content-based embeddings & relevance for Ads
  • •Developing new or iterating on existing embedding models for advertising use cases
  • •Working with local and 3rd-party LLMs/VLMs to build state-of-the-art embeddings
  • •Building data processing and inference pipelines for the models we develop
  • •Qualitative and quantitative evaluation of the various features we develop
  • •Ensuring the reliability, scalability, and performance of the ML systems
  • •Participating in modeling and coding reviews
  • •Collaborating with cross-functional teams to understand business requirements
Machine LearningStaff EngineerAdsEmbeddingsRemoteNetherlandsUKRedditNLPDeep Learning
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