Senior Machine Learning Engineer, Ads Foundational Representations

## Requirements - 5+ years of hands-on experience with the full lifecycle of 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 is a strong plus. - 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, 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. ## Perks and 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