<h2>직무</h2><p>Machine Learning Engineer, Inference System</p><h2>포지션 상세</h2><p>We’re a fast-moving, diverse team pushing the frontiers of artificial intelligence. At Twelve Labs, our mission is to help developers build programs that can see, listen, and understand the world as we do by bringing the world’s most powerful video understanding infrastructure to market. As a part of achieving this mission, we are building foundation AI models that can accurately and instantly search exact moments within petabytes of video archives, generate coherent text summaries of videos, perform prompt-based video generation, and many more. The Twelve Labs platform provides access to its Large Visual Language Models (VLMs) through a suite of APIs that are trained on massive video datasets and learn to understand the meaning and context behind the visuals, conversations, and sounds within videos.<br><br>Twelve Labs recently raised $17M in seed funding, recognized as one of CB Insights’ AI 100 companies within a year of its founding, and secured a massive compute resource through partnering with Oracle. We are hyper focused on delivering the Twelve Labs platform to our customers so they can build video understanding into their products and power dream features they could have only imagined.<br><br>Part of the pathway to our rapid growth has been paved by the outstanding group of people united by the company’s mission. Beyond prominent venture capital firms such as Index Ventures and Radical Ventures, the Twelve Labs mission is backed by category building luminaries like Fei-Fei Li (Stanford HAI), Silvio Savarese (Salesforce), Oren Etzioni (AI2), Alexandr Wang (Scale), Lukas Biewald (W&B), Jack Conte (Patreon) and more.<br><br>We are committed to creating a diverse and inclusive work environment where our team members can bring their full selves to work, bring out their potential, and most importantly, thrive together. We welcome kind, brilliant, and open minded people from all walks of life to our team. If joining this mission speaks to you, we encourage you to apply!</p><h2>주요업무</h2><p>• 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<br>• Deploy ML models, ensuring consistent and optimal performance in both cloud (like AWS, Azure, GCP) and on-premise environments<br>• Collaborate closely with DevOps and system engineering teams to ensure seamless deployments, rollbacks, and updates<br>• Engage in troubleshooting and quick resolution of any deployment-related issues, ensuring minimal downtime and optimal user experience</p><h2>자격요건</h2><p>• Proficiency in Python and Go<br>• 3 years + experience in building and designing ML infrastructure<br>• 5 years + software development experience, including experience in building ML infrastructure<br>• Strong understanding of container ecosystems such as Docker and Kubernetes<br>• Experience in deploying AI/ML models on cloud platforms such as AWS, Azure, GCP<br>• Ability to communicate effectively in English with individuals from diverse language backgrounds and different timezones</p><h2>우대사항</h2><p>• MS or PhD in Computer Science, Math, or equivalent real-world experience<br>• Experience in leading a team of engineers<br>• Experience in training deep learning models<br>• Experience in model deployment using Triton and TensorRT<br>• Proficiency in GPU Computing (i.e. CUDA)</p><h2>혜택 및 복지</h2><p>• Flexible work-from-home and working hours<br>• Corporate card provided for expenses (lunch and office supplies) with a monthly limit of 600,000 KRW<br>• Up to 1,000,000 KRW support for purchasing equipment upon joining<br>• Provide the latest equipment (MacBook Pro 16) <br>• Premium health check-ups<br>• A two-week winter vacation in December<br><br><br>[Important Notes]<br>• Please submit your resume in English<br>• Please provide detailed and specific descriptions of your experience relevant to the position in your resume or career statement.<br>• The answers to the mandatory pre-interview questions can be included at the end of your resume or briefly stated in the body of the email when you submit additional materials.<br>• Submit each application document as an individual PDF file.<br>• If any information in your application is later found to be false, your employment may be terminated.</p>
