Machine Learning Engineer, Partnerships
Listed on 2026-01-12
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Engineering
Data Engineer, AI Engineer
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.
AboutThe Role
As a Staff Machine Learning Engineer, Partnerships at Twelve Labs, you will drive company growth in our highest leverage go-to-market channel: development of our core technology and models on partner platforms (AWS, Snowflake, Databricks, and others). AWS Bedrock () is one such partner platform.
Applying your ML and cloud engineering expertise to catalyze our business and product partnerships is the essence of the role. This role is a perfect fit for experienced engineers with some past machine learning experience who want to scale product impact by leveraging internal and external collaboration.
See our CEO Jae's keynote from AWS Re:invent for more on the expansion of Twelve Lab's partnership with AWS:
In This Role, You Will:- Productize Twelve Labs’ video foundation models & products into fault-tolerant, low-latency, scalable systems suitable for partner deployments
- Design and deliver deep technical integrations with partner platforms such as AWS, Snowflake, Databricks, etc.
- Own technical execution for partner integrations, serving as the subject matter expert for complex engineering and production concerns
- Collaborate directly with engineering and product teams from our partners to co-design capabilities and influence joint roadmaps
- Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices
- Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers
- 10+ years of relevant industry experience
- Led organization- and/or company- level ML infrastructure projects from brainstorming and inception to realized product impact
- Defined technical roadmap and prioritization for large
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