Staff Machine Learning Engineer, Ads Foundational Representations
RedditUK и ещё 1 городУдалённоот 7 летКонтракт
AILLMMachine LearningMLembeddingsRecommendation SystemsNatural Language ProcessingLarge Language ModelsAdsMachine Learning EngineeringMultimodal MLRepresentation Learning
Описание
Reddit's Ads Foundational Representations team develops signals and representations of Reddit's core entities (ads, posts, users, etc.), capturing semantic, contextual, and behavioral information for Reddit Ads. The team works on building embeddings to understand content and users' interests based on the content they engage with.
Responsibilities
- Providing technical leadership and mentorship to MLEs in the team: driving designs and their review, establishing best practices in analysis, modeling and engineering, keeping the bar high
- Working closely with team/org leadership developing technical strategy for content-based embeddings and relevance for Ads
- 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
Requirements
- 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models
- Demonstrated Staff-level technical leadership: mentoring engineers, driving