Drive innovation and apply state of the art AI and machine learning across advertising domains.
Invent and iterate on novel solutions to complex advertising challenges.
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.
Excellent communication, collaboration skills, and a strong teamwork ethic.
Strong foundations in algorithms, data structures, and numerical optimization.
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).
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
Medical benefits (exact details not specified)

Senior Machine Learning Engineer, Ad Platforms

Key skills