Job Description

AI-powered ad creative workflow platform

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who can take full ownership of ML systems -- from ideation and data pipelines to model development, deployment, and monitoring. You will build scalable ML solutions that deliver measurable business impact and help shape the future of AI-driven creative optimization.

Location: remote

Key Responsibilities

Translate product and business challenges into ML solutions and measurable success metrics Build and maintain high-quality datasets, ETL processes, and feature pipelines Design, train, evaluate, and iterate on ML and deep learning models Deploy and productionize ML systems (APIs, batch jobs) with monitoring & CI/CD Collaborate across product, engineering, and design teams to ship quickly and efficiently Ensure model reliability, efficiency, and real-world performance at scale

Required Qualifications

5+ years of experience in ML engineering or applied AI roles Strong Python engineering skills -- clean, maintainable, production-grade code Solid understanding of ML fundamentals and deep learning architectures Proven track record deploying ML models in production environments Experience with MLOps tools (experiment tracking, containerization, CI/CD, cloud) Hands-on experience with AWS, GCP, or Azure

Preferred Skills

Strong product intuition -- ability to balance speed vs. accuracy and MVP thinking Experience with LLMs (prompting, RAG, fine-tuning, distillation, inference optimization) * Advertising tech or performance marketing ML experience (creative optimization, ranking systems, bidding, attribution modeling)