Senior Backend Software Engineer, Twelve Labs
AI-enabled video understanding technology
Be an early applicant
AI-enabled video understanding technology
21-100 employees
Be an early applicant
21-100 employees
Company mission
To build the best video understanding platform driven by leading perceptual-reasoning research
Role
Who you are
- Experience: 5+ years of backend engineering experience, with a proven track record of designing and delivering scalable web services and APIs
- API Expertise: Advanced proficiency in designing and implementing RESTful APIs, adhering to OpenAPI/Swagger specifications, with experience in modern frameworks (e.g., Go’s Gin or Echo, Spring Boot, or similar)
- Technical Expertise: Deep expertise in service-oriented architecture (SOA), microservices, and distributed systems, with strong knowledge of scalable database design (e.g., relational, NoSQL) and effective use of event-driven architecture
- Cloud Proficiency: Extensive experience with cloud-native development and deployment on platforms like AWS, GCP, or Azure, leveraging tools such as Docker, Kubernetes, or serverless frameworks to ensure scalability and resilience
- Analytical & Collaborative Skills: Strong first-principles thinking to address complex technical challenges, combined with effective communication skills and a collaborative approach to working with cross-functional teams
Desirable
- AI/ML Familiarity: Strong understanding of AI/ML concepts, particularly related to video analysis (e.g., object detection, motion tracking, or video summarization), and experience integrating backend systems with AI models or data pipelines
- Video Technology Experience: Hands-on knowledge of video-specific tools and frameworks (e.g., FFmpeg, AWS Media Services) to support video processing workflows
- Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility
- Go Proficiency: Proficiency with Go (Golang) and its ecosystem, aligning with team preferences
- DevOps Practices: Exposure to CI/CD pipelines and observability tools (e.g., Prometheus, Grafana) for building and monitoring scalable systems
What the job involves
- As a Senior Product Backend Engineer at Twelve Labs, you’ll architect scalable APIs and systems to power our AI video platform
- You’ll collaborate with cross-functional teams to integrate video foundation models, optimizing for performance and adaptability in a dynamic startup environment
- Design and implement scalable RESTful APIs adhering to OpenAPI specifications, powering features like video search, generation, and embedding, integrated with model inference pipelines
- Architect high-throughput, service-oriented backend systems to support enterprise-grade SaaS solutions for diverse customers, leveraging cloud-native tools (e.g., AWS, GCP, Azure)
- Optimize performance and reliability of distributed systems, processing large-scale video data with low latency and high availability
- Collaborate with cross-functional teams (product managers, frontend engineers, AI/ML teams) to deliver end-to-end video solutions
- Apply video-specific technologies (e.g., encoding, transcoding, streaming, metadata extraction) to enhance product capabilities and meet strategic goals
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 at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Dec 2024
$30m
EARLY VC
Jun 2024
$50m
SERIES A
Total funding: $107.2m
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 HQ
SoMa, 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)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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