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.

Requirements

Bachelor's in computer science or equivalent experience.
Minimum 7 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 Databricks, TensorFlow, Pytorch, Hugging libraries etc.
Proven proficiency in deep learning methodologies, including recurrent and sequence-based models.
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.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package.
A full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAI technologiesprogramming languagesPythonJavaSQLdeep learning methodologiesmultimodal embedding techniquesLLM modelsRAG architectures

Soft Skills

mentoringcontinuous learningtechnical growthcollaborationproblem-solvinginnovationengineering excellencecode qualitysystem designoperational reliability

Certifications

Bachelor's in computer science