Senior Machine Learning Engineer (Ads Foundational Representations)

Join Reddit's Ads Foundational Representations (AFR) team as a Senior Machine Learning Engineer. In this role, you will be responsible for the full-cycle execution of machine learning projects, collaborating with cross-functional teams, developing and iterating on embedding models, building data processing and inference pipelines, and ensuring the reliability and performance of ML systems. You will also participate in modeling and coding reviews and translate business requirements into technical solutions.

• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
• Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models.
• Building data processing and inference pipelines for the models we develop, ensuring the reliability, scalability, and performance of the ML systems.

• Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing
• Experience with mainstream DL frameworks: PyTorch or TensorFlow
• Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers
• Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority
• Familiarity with the Ads domain and/or Search/Recommender systems
• 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models
• Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them
• Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP)
• Tech leadership experience: mentoring junior engineers and leading complex projects
• Hands-on experience with using/fine-tuning/building LLMs