Change the future of video analysis and intelligence with Alison.ai!

Stop the guesswork. End the A/B testing. Produce results-driven creative faster than ever with Alison, the world's best AI-powered video creative analysis platform. From ideation to optimization to production, Alison makes it easier than ever to create assets such as videos, banners, and playable ads with the highest likelihood of success. Our unique SaaS technology allows businesses to identify their top-performing elements in creatives, get full-funnel data, and perform intelligent competitive analysis.

About the Position

We’re seeking a visionary and technically hands-on AI Lead to join Alison.ai and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of what’s possible in creative performance analysis.

This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.

Key Responsibilities

• Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
• Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
• Guide research and experimentation initiatives—identify new technologies, modeling techniques, and opportunities for innovation.
• Mentor and grow a team of machine learning engineers and data scientists as we scale.
• Champion AI ethics, fairness, and explainability in our model development and deployment.
• Stay ahead of industry trends in generative AI, computer vision, NLP, and martech innovation, translating insights into competitive advantages.

Requirements

• Hands-on experience in generative AI or ML, with a strong track record of delivering real-world tools, prototypes, or research-backed systems.
• Experience integrating AI solutions with APIs, data pipelines, and external systems in production environments.
• Deep expertise in multimodal learning, generative models, or agent-based frameworks—especially involving LLMs.
• Strong programming skills in Python and SQL, with hands-on experience in building and deploying AI/ML pipelines.
• Understanding of cloud platforms (e.g., AWS, GCP, Azure) and AI infrastructure, including MLOps best practices.
• Proven ability to integrate and operationalize AI-assisted development tools (e.g., GitHub Copilot, Cursor).
• Excellent communication and collaboration skills, with the ability to translate technical advances into business impact.