Staff ML Engineer: Ads Embeddings & Relevance (Remote UK/NL)

Slashhash; Amsterdam; Hybrid; EUR 140,000 - 200,000; Full time

Job summary

Reddit is hiring a Staff Machine Learning Engineer for the Ads Foundational Representations team. You will set technical direction, lead cross-functional ML projects, and build embeddings for ads, posts, and users. The role is remote in the UK or Netherlands.

You will mentor MLEs, shape embedding strategies for content relevance, work with LLMs/VLMs, and ensure scalable data pipelines and robust evaluation. 7+ years of experience and staff-level leadership are required.

Qualifications

• 7+ years of experience in ML/AI leadership.
• Proven track record delivering embeddings, models, and ML systems.
• Experience leading cross-functional ML projects.

Responsibilities

• Providing technical leadership and mentorship to MLEs.
• Developing technical strategy for content-based embeddings & relevance for Ads.
• Developing embedding models for advertising use cases.
• Collaborating with 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.

Skills

Machine Learning

Deep Learning

NLP

Computer Vision

Embeddings

LLMs

Data Analysis

Recommender Systems

Search

Ads

Technical Leadership

Mentoring

Tools

PyTorch

TensorFlow

Python

Apache Airflow

BigQuery

Ray

Kubernetes

Apache Kafka

GCP

Job description

Reddit is hiring a Staff Machine Learning Engineer for the Ads Foundational Representations team. You will set technical direction, lead cross-functional ML projects, and build embeddings for ads, posts, and users. The role is remote in the UK or Netherlands.

You will mentor MLEs, shape embedding strategies for content relevance, work with LLMs/VLMs, and ensure scalable data pipelines and robust evaluation. 7+ years of experience and staff-level leadership are required.