Senior Machine Learning Engineer, Ads Foundational Representations

Requirements:

• 5+ years of hands-on experience with designing, training, evaluating, testing, and deploying industry-level models
• Experience building NLP or CV models and integrating them at scale
• Experience developing complex features/embeddings for downstream models
• Experience with mainstream DL frameworks: PyTorch or TensorFlow
• Excitement about working with data and readiness to look behind the metric numbers

Nice to Haves:

• Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
• Familiarity with the Ads domain and/or Search/Recommender systems
• Tech leadership experience: mentoring junior engineers and leading complex projects
• Hands-on experience with using/fine-tuning/building LLMs

What You'll Be Doing:

• Developing new or iterating on existing embedding models for advertising use cases
• Working with local and 3rd-party LLMs/VLMs
• Building data processing and inference pipelines
• Participating in modeling and coding reviews

Perks and Benefits:

• Global Benefit programs that fit your lifestyle
• 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