Machine Learning Engineer

• 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.

• MS or PhD (preferred) in computer science or equivalent experience.
• Minimum 3 years of hands‑on experience developing and deploying large‑scale machine learning systems.
• Strong knowledge of AI/ML technologies, mathematics and statistics.
• Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non‑technical audiences.
• 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 Tensor Flow, 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.

• Experience with Databricks and AWS Sagemaker.

BA/BS Degree Comp Sci/IS or related field