Staff Machine Learning Engineer – Ads Foundational Representations

🕒 June 19

🌐 United Kingdom, Netherlands – Remote

🇬🇧 United Kingdom – Remote 🇳🇱 Netherlands – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

👻 Ghost score 52%

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📋 Description

• Provide technical leadership and mentorship to MLEs, driving designs and reviews, establishing analysis, modeling, and engineering best practices, and maintaining quality standards • Work with team and organizational leadership to develop technical strategy for content-based embeddings and Ads relevance • Develop or iterate on embedding models for advertising use cases, including aggregation pipelines, two-tower architectures, and sequence models • Work with local and third-party LLMs/VLMs to extract representations, develop evaluation methodologies, prompt-tune, and fine-tune large models • Build data processing and inference pipelines • Perform qualitative and quantitative feature evaluation and end-to-end experimentation, from internal benchmarks through recommender-system offline metrics and online experiments • Ensure ML-system reliability, scalability, and performance through automated tests, monitoring, and model-management best practices • Participate in modeling and coding reviews and provide quality and performance feedback • Collaborate with cross-functional teams to translate business requirements into technical solutions • Set technical direction across multiple team-owned pillars and lead cross-functional ML projects from business-gap analysis through engineering execution • Split time between technical leadership and mentorship and hands-on data analysis, engineering, modeling, and automation

🎯 Requirements

• 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 and 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, verbally and in writing • Strong track record of working on content-rich NLP/CV problems at scale and using embeddings to solve them • Established data-driven approach for ML system development and readiness to investigate metric numbers • Familiarity with the Ads domain and/or Search/Recommender systems • Experience with mainstream deep learning frameworks: PyTorch or TensorFlow • Preferred: experience with Python, PyTorch, Airflow, BigQuery, Ray, Kubernetes, Kafka, and GCP • Preferred: hands-on experience using, fine-tuning, or building LLMs

🏖️ 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 • Group Personal Pension Scheme with Employer match • Private Medical and Dental Scheme • Income Replacement Programs • Bike to Work scheme • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave

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