Senior Machine Learning Engineer, Ads Foundational Representations

Responsibilities

• Develop and iterate on embedding models for advertising use cases, including aggregation pipelines, two-tower architectures, and sequence models.
• Work with local and third-party LLMs and VLMs to extract representations, develop evaluation methodologies, prompt-tune and fine-tune large models, and build advanced embeddings.
• Build data-processing and inference pipelines for machine-learning models.
• Perform qualitative and quantitative evaluation, from internal benchmarks through downstream recommender-system offline metrics and online experiments.
• Ensure the reliability, scalability, and performance of machine-learning systems through automated tests, performance monitoring, and model-management best practices.
• Participate in modeling and code reviews, providing feedback on quality and performance.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Required Qualifications

• 5+ years of hands-on experience designing, training, evaluating, testing, and deploying industry-level models across their full lifecycle.
• Experience building NLP or computer-vision models and integrating them at scale.
• Experience developing complex features and embeddings for downstream models.
• Experience with mainstream deep-learning frameworks such as PyTorch or TensorFlow.
• Excitement about working with data and investigating the details behind metrics.

Preferred Qualifications

• Experience with Python, PyTorch, Airflow, BigQuery, Ray, Kubernetes, Kafka, and Google Cloud.
• Familiarity with advertising, search, or recommender systems.
• Technical leadership experience, including mentoring junior engineers and leading complex projects.
• Hands-on experience using, fine-tuning, or building LLMs.

Benefits

• Global benefit programs supporting workspace, professional development, and caregiving.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Group personal pension scheme with employer match.
• Private medical and dental scheme.
• Income replacement programs.
• Bike-to-work scheme.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.