Senior Machine Learning Engineer, Ads Foundational Representations
Reddit, Inc.
Senior Machine Learning Engineer, Ads Foundational Representations
Reddit seeks a Senior Machine Learning Engineer for the Ads Foundational Representations team to develop embeddings and signals for ads, posts, and users. The role involves full-cycle ML project execution, from design to deployment, with a focus on multimodal embeddings, LLMs, and relevance modeling. Requires 5+ years of industry ML experience and expertise in NLP/CV models.
Senior Machine Learning Engineer, Ads Foundational Representations
Reddit seeks a Senior Machine Learning Engineer for the Ads Foundational Representations team to develop embeddings and signals for ads, posts, and users. The role involves full-cycle ML project execution, from design to deployment, with a focus on multimodal embeddings, LLMs, and relevance modeling. Requires 5+ years of industry ML experience and expertise in NLP/CV models.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- 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.