Applied AI Engineer, Twelve Labs

• 5+ years in software engineering, machine learning engineering, applied machine learning, or a related field with a focus on building model driven, production workloads
• Deep familiarity with data science fundamentals
• Working knowledge of linear algebra and its application to embeddings
• Ability to analyze customer data, design experiments, and interpret results for both technical and non-technical stakeholders
• History of rich internal documentation and communication

Desirable

• As an Applied AI Engineer, you will be a hands-on technical expert helping customers turn TwleveLabs’ full stack video understanding AI into production-ready solutions
• You’ll prototype, integrate, and optimize AI applications built on TwelveLabs’ models and products, collaborating closely with our Science, Product, and Engineering (SPE) teams to extend model capabilities and build repeatable patterns for real-world adoption
• This role sits at the intersection of AI research and applied engineering: you’ll help customers explore what’s possible, then roll up your sleeves to make it practical, scalable, and secure
• Prototype and build applications and workflows using TwelveLabs models and products
• Experiment and tune TwelveLabs models using customer data
• Integrate into customer stacks: Bring TwelveLabs powered solutions to customers in a format consumable by their teams
• Develop evaluation frameworks for accuracy, latency, cost, and robustness in production workloads
• Create reusable assets (code samples, reference apps, documentation) to accelerate adoption across multiple accounts
• Collaborate with SPE: co-design experiments, validate new capabilities, and influence roadmap through applied field insights. Innovation starts in the field