Job Description

Who We Are At Twelve Labs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities. Twelve Labs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation. About The Role As a Software Engineer, Data at Twelve Labs, you will build core data infrastructure for acquiring, preprocessing, cleaning, filtering, and labeling multimodal text-vision datasets for model training. In this role, you will have a larger impact on the quality of our models than perhaps any other engineering role at the entire company: well filtered & labeled data is core to everything we do. This role is a perfect fit for distributed systems engineers who want to advance video understanding by delivering world class systems for unstructured multimodal corpora. In This Role, You Will: Acquire, filter, label (leveraging techniques like RLAIF), and sanitize large-scale vision-language datasets for LLM/VLM pretraining. Scale our data systems to enable our evolution from double-digit to triple-digit billion parameter models (and beyond!). Establish strong relationships with 3rd party data vendors and human-in-the-loop data labeling services. Build the highest impact, not the flashiest, libraries and services. Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment. You May Be A Good Fit If You Have: 6+ years of industry experience. Strong experience as a backend and/or data engineer, with an interest in ML/AI systems. Managed data acquisition for large generative or contrastive models. Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang). Strong Candidates May Also Have Experience: Working as a technical lead. Building model-bootstrapped language or vision-language datasets (RLAIF, etc.). Working with FFmpeg or other high performance image/video processing libraries. A PhD, or a Master's degree, in machine learning or a closely related discipline. Interview Process Recruiter Phone Screen. Initial Technical Assessment. Technical Interview 1: Coding. Technical Interview 2: System Design & Project Deep Dive. Final Interview: Culture. Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at Twelve Labs. We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI. Benefits and Perks An open and inclusive culture and work environment. Work closely with a collaborative, mission-driven team on cutting-edge AI technology. Full health, dental, and vision benefits. Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. VISA support (such as H1B and OPT transfer for US employees). #J-18808-Ljbffr Techstars Central LLC

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