Machine Learning Engineer, Twelve Labs

• 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)

Desirable

• 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!
• 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

• 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