Drive innovation and apply state of the art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery
Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles
Design, build, and scale robust ML systems that power core ad platform capabilities
Champion engineering excellence through best practices in code quality, system design, and operational reliability
Mentor and support junior engineers, fostering a culture of continuous learning and technical growth

Bachelor's in computer science or equivalent experience
Minimum 5 years of hands-on experience developing and deploying large-scale machine learning systems
Strong knowledge of AI/ML technologies, mathematics and statistics
Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java and SQL
Familiarity with tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc
Proven proficiency in deep learning methodologies, including recurrent and sequence-based models
Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks
Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data
Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc
Strong grasp of LLM evaluation methodologies, experience with RAG architectures
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical benefits

Senior Machine Learning Engineer

Key skills