TwelveLabs · 1 day ago
Machine Learning Engineer
San Francisco, CA
Full-time
Onsite
Senior Level
6+ years expTwelveLabs is pioneering the development of frontier multimodal foundation models that can see, hear and understand the world as humans do. As a Machine Learning Engineer, you will drive ML systems and platform engineering efforts, focusing on scaling training, inference, and evaluation systems while improving model deployment reliability.
Generative AIInformation TechnologySoftwareVideo
Responsibilities
Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems
Own model deployment, metadata management, and high-throughput inference strategy for both retrieval ("Marengo") and generative ("Pegasus") models
Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices
Build the highest impact, not the flashiest, libraries and services
Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers
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
Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment
Qualification
Required
6+ years of relevant industry experience
Demonstrated experience as a technical lead to deliver projects end to end
Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang)
Experience with modern ML frameworks (i.e. PyTorch, Tensorflow)
Preferred
Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale
Building 0-to-1 mission critical AI/ML applications from scratch
Optimizing model inference (TensorRT, ONNX, Triton Inference Server)
Building Kubernetes-based systems for distributed data/ML workflows
Working with FFmpeg or other high performance image/video processing libraries
A PhD, or a Master's degree, in machine learning or a closely related discipline
Acquiring, filtering, (re)labeling, or sanitizing large scale language or vision-language datasets for LLM/VLM pretraining
Benefits
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).
Company
TwelveLabs
The world's most powerful video intelligence platform for enterprises.
11-50 employees
H1B Sponsorship
TwelveLabs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2023 (4)
Funding
Current Stage
Early StageTotal Funding
$107.12MKey Investors
Firstman StudiosNaver VenturesRadical Ventures
2025-10-10Corporate Round
2025-06-09Series Unknown
2024-12-12Series A· $30M
Leadership Team
Jae Lee
Founder & CEO
Recent News
Index Ventures
2026-01-06
2025-12-05
intelcapital.com
2025-12-05
Company data provided by crunchbase