Backend Software Engineer, Twelve Labs
AI-enabled video understanding technology
Open for applications
AI-enabled video understanding technology
21-100 employees
Open for applications
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 backend development
- Experience in leading the design and development of RESTful APIs
- Experience developing with Go language
- Experience in developing and operating services in cloud environment
- Strong communication skills and ability to collaborate within teams and across teams
- Proficient in English communication, both spoken and written
What the job involves
- As a backend engineer, your main tasks include making our video AI models accessible to developers, creating scalable interfaces, and building a robust backend system based on Micro Service Architecture
- You'll also develop a SaaS Platform for general customers and consider on-premise service packaging for enterprise clients
- Additionally, you'll optimize API performance, construct Massive Traffic Distributed Systems, and troubleshoot any issues
- Design and develop a Video Understanding Platform API that developers can easily understand and utilize:
- Make Twelve Labs' massive video AI models (Video Foundation Model) easily comprehensible even without ML domain knowledge
- Aim for scalable interfaces to seamlessly integrate with various domains
- Build a backend system based on Micro Service Architecture (MSA) to provide scalable services in various environments:
- Establish Micro Service Architecture for continuous deployment, fault isolation, and flexible scaling
- Construct a SaaS Platform using container-based services (EKS, ECS, etc.) on cloud platforms like AWS for general customers
- Consider service packaging for on-premise operation for enterprise customers
- Ensure global service availability and improvement through operations and enhancements:
- Optimize existing API performance and service logic
- Build Massive Traffic Distributed Systems to handle large-scale data processing in real-time
- Increase throughput by optimizing process utilization through profiling
- Troubleshoot bugs, service outages, and other issues
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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