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Staff Machine Learning Engineer, Ads Foundational Representations

Reddit· Ads Product & Engineering
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Hybrid (Remote (Netherlands/UK))full-timePosted 4mo ago

About the role

Staff ML Engineer responsible for setting technical direction across multiple pillars of the AFR team, leading cross-functional ML projects end-to-end, and performing substantial hands-on work in data analysis, modeling, and engineering to develop embeddings and representations for Reddit Ads and related products.

Responsibilities

  • Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
  • Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads.
  • Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
  • Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models 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, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments.
  • Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management.
  • Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance.
  • Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.

Qualifications

  • 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models.
  • Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority.
  • Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing.
  • Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them.
  • Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers.
  • Familiarity with the Ads domain and/or Search/Recommender systems.
  • Experience with mainstream DL frameworks: PyTorch or TensorFlow.

Skills

Required:Embedding model developmentData processing pipelinesCross-functional leadership
Nice to have:LLM/VLM integration

Benefits

  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Private Pension plan with Employer-matching
  • 100% employer-sponsored group medical plan
  • Income Replacement Programs
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave
Last updated Oct 7, 2026. Interested? Apply on the company site.
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