Machine Learning Engineer, Twelve Labs

• Proficiency in Python and Go
• 3 years + experience in building and designing ML infrastructure
• 5 years + software development experience, including experience in building ML infrastructure
• Experience in deploying AI/ML models on cloud platforms such as AWS, Azure, GCP
• Ability to communicate effectively in English with individuals from diverse language backgrounds and different timezones

Desirable

• As a Software Engineer, Inference Infrastructure at Twelve Labs, you will play a crucial role in the ML Platform team, where your primary focus will be scaling the infrastructure to host one of the industry's most powerful video foundation models
• Your responsibility will be to ensure the scalability, performance, and reliability of our model inference pipeline, which involves handling high volumes of traffic, video processing, and model deployment
• Develop an end-to-end video processing pipeline that processes multimodal data (images, audio, etc.) in a video to fit the required format for models
• Deploy ML models, ensuring consistent and optimal performance in both cloud (like AWS, Azure, GCP) and on-premise environments
• Collaborate closely with DevOps and system engineering teams to ensure seamless deployments, rollbacks, and updates
• Engage in troubleshooting and quick resolution of any deployment-related issues, ensuring minimal downtime and optimal user experience

• Recruiter Phone Screen
• CTO Chat
• Take-home Assignment
• Technical Interview
• Culture Interview
• Reference Checks