Machine Learning Engineer – Ad Sciences
Core
Develop and optimize ad science models, open-source LLMs, and underlying infrastructure for performance and cost efficiency.
Role type
Senior Machine Learning Engineer (Ad Sciences & Generative AI)
Builds
Training pipelines, model implementations, inference systems, and monitoring solutions for ad intelligence at massive scale.
Domain
Advertising technology, Generative AI, Large Language Models (LLMs), Reinforcement Learning
Deliverable
production ML models | infrastructure
Required skills
Large-scale distributed data systems, Python, PyTorch, accelerator-based inference systems, cloud platforms, container orchestration
Preferred skills
Java, deep recommender systems, reinforcement learning systems, ads ecosystem knowledge
Technologies
DeepSpeed, OpenRLHF, Triton, ONNX, TensorRT, Kubernetes, Spark, Airflow, JAX, TPUs, GPUs
Responsibilities
Build and support training pipelines to maximize experimentation velocity; Adapt open-source LLM infrastructure for post-training needs; Optimize online and batch inference for low latency and cost; Build monitoring and evaluation solutions; Leverage data features to strengthen pipelines; Explore new compute platforms; Collaborate with Applied Scientists on research and experiment design.
Seniority
Senior, hands-on IC
