Software Engineer, ML, Search Ads Creatives

• Work in an environment that embraces automation of ad creation while keeping a strict oversight of advertiser constraints and Return on Investment (ROI).
• Drive 10x product adoption and creative thinking on “finding” or building the right quality, extraction, data models and data-driven execution.
• Build scalable end-to-end infrastructure that can serve under tight latency and freshness constraints.
• Collaborate closely with organization partners and tech stack (e.g. prediction, auction, data flow), and key stakeholders to help identify the right solution, while taking on TL responsibilities such as setting the roadmap, goal, and cross-team Objectives and Key Results (OKRs).
• Refine user and advertiser experiences to find one that meets their needs.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience in one or more programming languages, data structures, and algorithms.
• 8 years of experience with ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
• 8 years of experience testing, maintaining, or launching software products, and 5 years with software design and architecture.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, fine-tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, multimodal, large vision models) or GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• PhD in Computer Science, Statistics, or related fields.
• Experience in GenAI related model fine tuning, large language models building or product enablement exploration.
• Experience in successfully applying GenAI and machine learning approaches to real-world content problems.
• Deep familiarity with Search/Ads infrastructure, auction mechanics, or generative AI models.
• Excellent programming skills leveraging GenAI tools.
• Strong mathematical skills with knowledge of statistical methods.

• Bachelor's degree or equivalent practical experience.
• 8 years of software development experience in one or more programming languages, data structures, and algorithms.
• 8 years of experience with ML/AI algorithms, tools, deep learning, or other AI/ML modeling.
• 8 years of experience testing, maintaining, or launching software products, and 5 years with software design and architecture.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, fine-tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, multimodal, large vision models) or GenAI-related concepts (language modeling, computer vision).