Data Engineer, Twelve Labs
ML Data Platform
Video intelligence platform for enterprises
Job no longer available
Video intelligence platform for enterprises
101-200 employees
Job no longer available
101-200 employees
Company mission
To set a new standard and unlock the full potential of video for the word.
Role
Who you are
- 3+ years of experience in software engineering (Server/Backend) or equivalent experience
- 1+ years of experience with cloud platforms such as AWS, Azure, GCP or equivalent experience
- 1+ years in handling large-scale data processing and building pipeline systems (e.g., Airflow)
- Hands-on experience in building large-scale datasets for AI model training
- Open to learning and enthusiastic about new technologies
- Ability to work in a team and deliver results collaboratively
- Capability to create processes in the absence of clear structures
- Interest in finding optimal solutions to problems by understanding over/under engineering
- Proficiency in Go language
- Experience in processing video data
What the job involves
- As the Data Engineer at Twelve Labs, you will lead the development and optimization of infrastructure, pipelines, and databases crucial for processing and managing large-scale video datasets.
- As a key member of the team, you'll collaborate closely with ML researchers to ensure efficient access to high-quality datasets, enabling accelerated training of AI models for video understanding
- Design the infrastructure needed for overall AI model training with video data
- Build pipelines for collecting and processing large-scale datasets required for video understanding AI models
- Create large-scale databases to efficiently manage video data and artifacts from preprocessing steps
- Design and implement a version control and data cataloging system for owned data and labels
- Work closely with the ML Research team to build pipelines for easy access and quick training on video datasets
Our take
Developing an algorithm that can understand text or images is (relatively) straightforward. However, the challenge escalates when it comes to understanding video, where these modes merge with audio, and context becomes much harder to grasp.
Twelve Labs has developed a machine learning solution that tackles this challenge by making the inner content of videos both indexable for developers and highly searchable for users. This technology could prove immensely valuable, with use cases extending far beyond simple searchability for end users. It could be employed for more accurate monitoring of community guidelines on social media, enterprise knowledge searches, and a deeper understanding of the value of video content.
With funding under its belt, Twelve Labs is set for rapid growth. The investment will drive R&D, nearly double its workforce, and advance its video understanding technology. As it expands, Twelve Labs is well-positioned to lead the future of multimodal AI and revolutionize how organizations extract values from video content.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 7 rounds)
Oct 2025
$3m
EARLY VC
Dec 2024
$30m
EARLY VC
Total funding: $110.2m
Company HQ
Northern Waterfront, San Francisco, CA
Leadership
Jae Lee
(Co-Founder & CEO)After Interning as a Software Engineer at Samsung and Amazon, they joined the Republic of Korea's Cyber Operations Command as a Lead Data Scientist. Co-founded Twelve Labs after this period of military service.
Aiden Lee
(Co-Founder & CTO)Previously Interned at Korea Advanced Institute of Science and Technology (KAIST) as a Deep Learning Researcher. Completed their National Defense duty as an AI & ML Engineer in the Cyber Operations Command.
Dave Chung
(Co-Founder & GTM of Asia-Pacific)Previously a Project Team Lead at the Institute of East and West Studies (IEWS) at Yonsei University, focusing on the planning and development of the Korean Web 3.0 ecosystem (Funded by the Ministry of ICT).
Soyoung Lee
(Co-Founder & Head of Go-to-Market)Previously worked in Risk Assurance for PricewaterhouseCoopers in Seoul before co-founding Twelve Labs.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 23 more jobs at Twelve Labs