<h2>직무</h2><p>Data Engineer, ML Data Platform</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>• Design the infrastructure needed for overall AI model training with video data<br>• Build pipelines for collecting and processing large-scale datasets required for video understanding AI models<br>• Create large-scale databases to efficiently manage video data and artifacts from preprocessing steps<br>• Design and implement a version control and data cataloging system for owned data and labels<br>• Work closely with the ML Research team to build pipelines for easy access and quick training on video datasets</p><h2>자격요건</h2><p>[Technical Skills]<br>• 3+ years of experience in software engineering (Server/Backend) or equivalent experience<br>• 1+ years of experience with cloud platforms such as AWS, Azure, GCP or equivalent experience<br>• 1+ years in handling large-scale data processing and building pipeline systems (e.g., Airflow)<br>• Hands-on experience in building large-scale datasets for AI model training<br><br>[Soft Skills]<br>• Open to learning and enthusiastic about new technologies<br>• Ability to work in a team and deliver results collaboratively<br>• Capability to create processes in the absence of clear structures<br>• Interest in finding optimal solutions to problems by understanding over/under engineering</p><h2>우대사항</h2><p>• Proficiency in Go language<br>• Experience in web data analysis and web crawling<br>• Experience in operating and developing large-scale distributed processing environments (e.g., Hadoop, Spark)<br>• Experience in processing video data<br>• Experience in development/operations in container environments<br>• Startup Experience</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>
