Develop, optimize, and productionize innovative technologies in generative AI as well as in traditional ML modeling applications.
Create, evaluate, improve, optimize technologies.
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 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.
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 deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc.
Experience developing language-processing applications via LLMs or agentic flows.

Benefits

A bonus and/or long-term incentive units may be provided as part of the compensation package.
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 learninggenerative AIAI technologiesmathematicsstatisticsalgorithmsdata structuresnumerical optimizationPythonJava

Soft Skills

communicationcollaborationteamworkmentoringcontinuous learningtechnical growth

Certifications

Bachelor's in computer science