Data Engineer, Twelve Labs
ML Data Platform
AI-enabled video understanding technology
Job no longer available
AI-enabled video understanding technology
21-100 employees
Job no longer available
21-100 employees
Company mission
To build the best video understanding platform driven by leading perceptual-reasoning research
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 recent 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
Insights
Some candidates hear
back within 2 weeks
Company
Funding (last 2 of 5 rounds)
Jun 2024
$50m
SERIES A
Oct 2023
$10m
EARLY VC
Total funding: $77.2m
Company benefits
- Full health, dental, and vision benefits
- Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years
- Remote-flexible, offices in San Francisco and Seoul and coworking stipend
- VISA support (such as H1B and OPT transfer for US employees)
Company values
- Curiosity is power: The complexities of understanding videos present incredibly challenging problems. Curiosity fuels us to create technology that is not only adaptable but also exceptionally robust. Our products have unlocked a powerful new way for developers and enterprises to amplify their understanding of petabytes of data, and we are just getting started
- Embrace the underdog: We strive to be the best by championing innovation, resilience, and empathy. Failure does not intimidate us but encourages us to always speak up and try new things. In the face of adversity, we rally together, and it is our collective purpose that propels us forward achieving things as a team that exceed even our own expectations
- Thought leaders: We're not just part of the industry; we shape it. At Twelve Labs, you will immerse yourself in an environment brimming with creativity and forward-thinking. Each day presents an opportunity to gain invaluable insights, challenge conventional wisdom, and pioneer new frontiers as we push the boundaries of AI with our research
Company HQ
SoMa, San Francisco, CA
Articles
Founders
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)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.
Sung Jun (SJ) Kim
(Co-Founder)Served for the Ministry of National Defense as a Lead Software Engineer in the Cyber Operations Command. Before this, they were a Cyber Security Research Scientist at Sungkyunkwan University.
Dave Chung
(Co-Founder)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)Worked in Risk Assurance for PricewaterhouseCoopers in Seoul before co-founding Twelve Labs.
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