Senior Backend Software Engineer, Video Engineering

Who we are
At Twelve Labs, 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 fundamentally transforming the way we interact with and analyze various forms of media.

With a remarkable $107 million in Seed and Series A funding, our company is backed by top‑tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent AI visionaries and founders such as Fei‑Fei Li, Silvio Savarese, Alexandr Wang and more. Headquartered in San Francisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.

We are a global company that values the uniqueness of each person’s journey. It is the differences in our cultural, educational, and life experiences that allow us to constantly challenge the status‑quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.

About the Role
As a Senior Backend Software Engineer at Twelve Labs, you’ll build the server‑side infrastructure powering our new agentic application layer. You'll join a small, high‑impact team and own the critical transition from prototype to production‑ready platform.

Must be based in the Pacific Time Zone for consideration.

Candidates must be able to travel up to 10% of the time annually to attend conferences, off‑site meetings, and other business‑related events as required by the role. This role may require participation in on‑site interviews and/or completion of in‑person onboarding processes.

In this role, you will
Backend

Design and build backend services for video processing workflows — ingestion, transcoding, 4K export, metadata extraction, and timeline operations

Architect scalable, high‑availability systems to support enterprise‑grade video workloads across cloud‑native infrastructure (AWS, GCP)

Build and optimize APIs that power real‑time and async frontend workflows, including streaming data delivery and long‑running job orchestration

Own performance and reliability for distributed video processing pipelines with low latency and high throughput requirements

Collaborate closely with frontend engineers on API design, data models, and streaming strategies

You may be a good fit if you have

5+ years building production backend systems and scalable APIs, based in Pacific Time Zone

Strong Python proficiency for backend services and tooling; comfort making pragmatic tradeoffs in a fast‑moving product environment

Cloud‑native development experience on AWS or GCP, including containerization (Docker, Kubernetes) and serverless patterns

Deep experience with distributed systems, microservices, and distributed job orchestration (queues, workers, retries, prioritization)

Hands‑on experience with FFmpeg for transcoding, muxing, stream manipulation, and segment‑based processing

Strong understanding of video codecs (H.264, H.265/HEVC, AV1), containers (MP4, MKV, WebM), and adaptive bitrate formats (HLS, DASH)

Experience building and operating scalable video transcoding and processing pipelines, including proxy generation and media normalization

Experience with backend‑driven video editing workflows including timeline‑based rendering, clip segmentation, and incremental re‑processing

Experience with large‑scale media storage and delivery (S3, blob storage, pre‑signed URLs, range requests) and performance optimization techniques (parallel encoding, chunked processing, intermediate artifact caching)

Background in media, entertainment, or video streaming platforms; exposure to cloud‑based media services (AWS MediaConvert, GCP Transcoder API, or similar) is a plus

Preferred Qualifications

Advanced API design skills (RESTful, streaming, async patterns)

Familiarity with model serving platforms (TorchServe, Triton, SageMaker endpoints, or similar)

Experience with MLOps practices — model deployment, monitoring, versioning

Exposure to CI/CD pipelines and observability tools (Prometheus, Grafana) for production systems

Experience with AI‑powered product features or agentic application architectures

Hands‑on experience running inference on ML/CV models in production — not research, but engineering models into reliable services

Even if there are a few checkboxes that aren’t ticked through your prior experience, we still encourage you to apply! If you are a 0‑1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.

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.

Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.

VISA support where applicable.

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