TwelveLabs
Base pay range
$170,000.00/yr - $190,000.00/yr Overview
Join to apply for the
Staff Software Engineer, Backend
role at
TwelveLabs . This range is provided by TwelveLabs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Who We Are
At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and transforming the way we interact with and analyze various forms of media. We are a global company that values the uniqueness of each person’s journey and are driven by our mission to push the bounds of technology to transform the world. We are backed by top-tier venture capital firms and renowned AI leaders, with headquarters in San Francisco and an APAC presence in Seoul. About The Role
As a Product Backend Engineer at TwelveLabs, 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. This is a hybrid role based at our San Francisco headquarters; remote work is available for candidates currently residing in California or Washington State. Remote employees will need to travel to the office for team meetups or other events as needed. Responsibilities
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. You may be a good fit if you have
Experience: 10+ 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 (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, with effective communication and collaboration across teams. Preferred Qualifications
AI/ML Familiarity: Understanding of AI/ML concepts related to video analysis 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: Ability to thrive in fast-paced startup environments and deliver results with agility. Go Proficiency: Proficiency with Go (Golang) and its ecosystem. DevOps Practices: Exposure to CI/CD pipelines and observability tools (e.g., Prometheus, Grafana) for building and monitoring scalable systems. Benefits And Perks
An open and inclusive culture and work environment. Work closely with a collaborative, mission-driven team on cutting-edge AI technology. Full health, dental, and vision benefits. Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. Visa support (such as H1B and OPT transfer for US employees). Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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$170,000.00/yr - $190,000.00/yr Overview
Join to apply for the
Staff Software Engineer, Backend
role at
TwelveLabs . This range is provided by TwelveLabs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Who We Are
At TwelveLabs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and transforming the way we interact with and analyze various forms of media. We are a global company that values the uniqueness of each person’s journey and are driven by our mission to push the bounds of technology to transform the world. We are backed by top-tier venture capital firms and renowned AI leaders, with headquarters in San Francisco and an APAC presence in Seoul. About The Role
As a Product Backend Engineer at TwelveLabs, 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. This is a hybrid role based at our San Francisco headquarters; remote work is available for candidates currently residing in California or Washington State. Remote employees will need to travel to the office for team meetups or other events as needed. Responsibilities
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. You may be a good fit if you have
Experience: 10+ 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 (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, with effective communication and collaboration across teams. Preferred Qualifications
AI/ML Familiarity: Understanding of AI/ML concepts related to video analysis 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: Ability to thrive in fast-paced startup environments and deliver results with agility. Go Proficiency: Proficiency with Go (Golang) and its ecosystem. DevOps Practices: Exposure to CI/CD pipelines and observability tools (e.g., Prometheus, Grafana) for building and monitoring scalable systems. Benefits And Perks
An open and inclusive culture and work environment. Work closely with a collaborative, mission-driven team on cutting-edge AI technology. Full health, dental, and vision benefits. Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years. Visa support (such as H1B and OPT transfer for US employees). Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr