Who We Are
At Twelve Labs, we are pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. Our models have redefined the standards in video-language modeling, allowing developers to build programs with state-of-the-art semantic search, summarization and analysis capabilities.
Twelve Labs has raised $107 million in Seed + Series A funding from world-class VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features 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.
About The Role
As a Machine Learning Engineer at Twelve Labs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure!
In This Role, You Will:
Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems
Scale multimodal AI/ML systems for video understanding
Deliver industry leading applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance
Build the highest impact, not the flashiest, libraries and services
You May Be A Good Fit If You Have:
2+ years of relevant industry experience
Strong Python coding skills
Experience with modern ML frameworks (i.e. PyTorch, Tensorflow)
Excellent problem-solving skills and attention to detail
Strong Candidates May Also Have Experience:
With at least one statically typed language (we use Golang)
Building 0-to-1 mission critical AI/ML applications from scratch
Optimizing model inference (TensorRT, ONNX, Triton Inference Server)
Working with FFmpeg or other high performance image/video processing libraries
Interview Process
1) Recruiter Phone Screen
2) Initial Technical Assessment
3) Technical Interview 1: Coding
4) Technical Interview 2: System Design & Project Deep Dive
5) Final Interview: Culture
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 Twelve Labs.
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.
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.
🏙 Remote-flexible, offices in San Francisco and Seoul and coworking stipend.
🛂 VISA support (such as H1B and OPT transfer for US employees).
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