<h2>직무</h2><p>Machine Learning Engineer, MLOps & Evaluation</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>• Be responsible for Model Serving and ModelOps: manage model-related metadata (using the model registry), implement hardware-accelerated optimization for each model engine, and containerize models for efficient serving<br>• Construct an ML pipeline that proficiently serves the trained foundation models in our ML Infrastructure<br>• Implement best model validation practices by conducting automatic evaluation benchmarking and performing output comparisons<br>• Develop an automatic training/finetune pipeline that includes rigorous data and model validation against the baseline model</p><h2>자격요건</h2><p>• 5+ years of software development experience, including experience in deploying machine learning models<br>• 3+ years of experience in building and deploying an end-to-end machine learning pipeline, or equivalent<br>• Have experience in establishing and maintaining secure software and system development environments<br>• Have experience designing control and sandboxing systems for AI research<br>• Willingness to learn the emerging AI technology and a practical mindset on productization<br>• Have a black-box level of understanding in Transformer-based neural network<br>• Experience in system development in model serving and inference</p><h2>우대사항</h2><p>• Experience with MLOps for managing the entire machine learning lifecycle, including model registry and versioning functionalities<br>• Experience with hardware-accelerated optimization techniques<br>• Experience in identifying and mitigating pain-points in ML research & modeling processes<br>• ML research experience would be helpful, as this role requires interchangeable effort on both research side and software side</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>
