At TwelveLabs, 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 stateoftheart semantic search, summarization and analysis capabilities.
TwelveLabs has raised $107 million in Seed + SeriesA funding from worldclass VC & corporate partners: NVIDIA, NEA, Radical Ventures, Index Ventures, Snowflake and Databricks. Our advisory team features AI visionaries and founders such as FeiFeiLi, SilvioSavarese, AlexandrWang and more. Headquartered in SanFrancisco, with an influential APAC presence in Seoul, our global footprint underscores our commitment to driving worldwide innovation.
As a Machine Learning Engineer at TwelveLabs, 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 visionlanguage modeling by perfecting ML systems and infrastructure!
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 01 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at TwelveLabs.
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.
Location: SanFrancisco, CA
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