Senior Machine Learning Engineer
Core
Building embeddings and representations for Reddit's core entities (ads, posts, users) to power the Ads Delivery funnel, targeting, and business insights products.
Role type
Senior IC machine learning engineer (multimodal embeddings & LLMs)
Builds
Production ML models for ad relevance, user intent modeling, and knowledge graph embeddings
Domain
Internet / Advertising / Machine Learning
Deliverable
production ML models
Required skills
Full lifecycle ML model design, training, evaluation, and deployment; NLP and Computer Vision model development; Large-scale feature/embedding development; Deep learning frameworks (PyTorch or TensorFlow)
Preferred skills
Python, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP; Ads/Search/Recommender systems domain knowledge; Tech leadership and mentoring; LLM fine-tuning and building
Technologies
PyTorch, TensorFlow, Python, Airflow, BigQuery, Ray, Kubernetes, Kafka, GCP
Responsibilities
Develop and iterate embedding models for advertising use cases (aggregation pipelines, two-tower architectures, sequence models); Work with local and 3rd-party LLMs/VLMs to extract representations and fine-tune models; Build data processing and inference pipelines; Conduct end-to-end experimentation from internal benchmarks to online experiments; Ensure reliability, scalability, and performance of ML systems via automated tests and monitoring; Participate in modeling and coding reviews; Collaborate with cross-functional teams to translate business requirements into technical solutions
Seniority
Senior, hands-on IC
