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 help developers build programs that can see, listen, and understand the world by giving them the most powerful video understanding infrastructure.
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
Otta's take
Xav Kearney
CTO of Otta
Developing an algorithm that can understand text, or images is (relatively) straightforward. However, it becomes a lot more challenging when it’s required to understand video, where these modes fuse with audio and context becomes much harder to gauge.
Twelve Labs has developed a Machine Learning solution that can do just that, then make the inner content of the video indexable for developers and highly searchable for users.
This kind of tech could prove immensely valuable as its use cases go far beyond searchability for the end user. In theory it could be used for more accurate community guidelines monitoring on social media, enterprise knowledge search, and a better overall understanding of the value of video content.
Founded in 2021, Twelve Labs is still a relatively young startup. However Index Ventures, Radical Ventures, Expa, and Techstars have provided significant backing, showing that there’s plenty of confidence in the company’s potential.
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
- Voluntary commuting, voluntary remote work and flexible work system (Work-from-anywhere & anyhow)
- Home office setup stipend
- Market-leading competitive compensation packages (salary, stock options, etc.)
Company HQ
SoMa, San Francisco, CA
Articles
Founders
Jae Lee
(CEO)After interning as a Software Engineer at Samsung and Amazon, they joined the Republic of Korean's Cyber Operations Command as a Lead Data Scientist. Co-founded Twelve Labs after this period of military service.
Aiden Lee
(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
(Head Of Software Architecture)Like co-founders Aiden and Jae Lee, 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
(Head of Operations)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
(Head of Business Development)Worked in risk assurance for PricewaterhouseCoopers in Seoul before co-founding Twelve Labs.
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