TwelveLabs

You will drive research on Pegasus's harder problems such as temporal segmentation, multi-hour context, structured output generation, and training strategies from pre-training through RL, where the right approach requires deep judgment. You will design rigorous experiments and evaluation methods that produce clear signals on complex multimodal problems, including where ground truth is ambiguous, and work closely with ML Engineers to translate research advances into production, informing tradeoffs around architecture, serving, and system design.

You'll design and build data pipelines for **multimodal (video, image, audio) datasets** at a leading video AI startup. Your work will directly impact **model quality** for cutting-edge video understanding AI. This role offers the chance to shape the data infrastructure of a fast-growing deep tech company.

You'll own the **Marengo multimodal embedding model** and **Search product** at a pioneering AI startup. Your work will shape retrieval quality for customers in production, directly impacting how video understanding gets deployed. This role bridges research, customer needs, and execution, with a two-day-per-week hybrid requirement.

You'll lead **end-to-end recruitment** for core technical roles in a **cutting-edge multimodal AI startup**, attracting top ML/AI talent. You'll own sourcing, screening, interviews, and offer negotiations while improving processes through data. Work in a high-growth environment with **global impact** and strong support for your growth.

You'll assess inbound opportunities and drive lightweight deals in **APAC markets** for a **video AI startup**. You'll gain direct mentorship from industry experts and exposure to enterprise B2B sales **across a high-growth environment**.

You'll lead a global pre-sales team, shaping **technical sales strategy** for **multimodal AI video understanding**. Your impact will directly influence product roadmap and revenue growth, working with top-tier enterprises.

You'll own and build **internal products** for a multimodal AI company, unifying data and evaluation platforms. Your work directly impacts how the team reasons about **petabyte-scale video data** and integrates **real customer signals**. This is a high-autonomy role with full ownership from day one.

You'll build and lead the Partner Engineering team at Twelve Labs, a cutting-edge multimodal AI company. You'll drive technical strategy across cloud and AI ecosystems for video understanding. This is a **high-impact leadership role** shaping **global partnerships with top cloud providers and AI platforms**.

You'll own and build core subsystems of a search and retrieval platform at a leading video AI startup. You'll optimize retrieval performance at billion-scale and collaborate with research teams to ship search capabilities end-to-end. This role offers **access to world-class GPU resources** and a **short development cycle** from research to production.

You'll architect end-to-end search and retrieval platform for **Twelve Labs' multimodal AI** and set technical direction for production-scale systems worldwide. You'll co-design retrieval strategies with research and training teams, optimizing latency, recall, cost, and scalability. This role offers high autonomy and impact, working across search, ML serving, and distributed systems.

You'll identify high-impact research problems for **multimodal video understanding** and drive them from experimentation to production. Your work will shape **temporal modeling and structured output generation** at a well-funded AI startup backed by NVIDIA and AWS.

You'll define and drive research problems to advance **Pegasus video analysis capabilities**, designing experiments across model architecture and training strategy. You'll build evaluation methods that translate real-world use cases into measurable improvements. You'll work closely with ML engineers to ship robust systems with real product impact.

You'll lead complex ML systems for **multimodal video analysis** at TwelveLabs, a well-funded AI startup backed by NVIDIA. You'll own **end-to-end ML projects** from design to production, pushing the boundaries of video understanding.

You'll own the bridge between **model capabilities** and **customer-facing products** at Twelve Labs. You'll lead a Korea-based fullstack engineering team, driving architecture, shipping software, and building a culture of ownership. This role combines hands-on technical leadership with product ownership in a fast-paced AI startup.

You'll drive technical direction for ML engineering within the Pegasus team, building production systems for multimodal video analysis. You'll own critical ML infrastructure and mentor engineers. This role offers access to cutting-edge chips like NVIDIA B300s.

You'll drive research and development of multimodal embedding models at a leading video AI startup. You'll design experiments, optimize training pipelines, and ship models used by thousands of companies worldwide. **This role blends research with engineering** in a fast-paced environment where **models move from idea to production** in months.

You'll build and improve production ML systems for **Pegasus**, a video analysis product. You'll work across the ML stack from deployment to monitoring with **access to NVIDIA B300s** and collaborate with a cross-functional team of ML researchers and engineers.

You'll lead **sourcing strategies** for ML/AI roles at a cutting-edge multimodal AI startup. You'll build talent pipelines from scratch and shape employer branding in the Korean AI market. This role offers **high autonomy** and direct impact on hiring outcomes.

You'll lead TwelveLabs' **partner ecosystem across APAC**, driving top-of-funnel pipeline generation and partner-influenced revenue for our sales organization. You'll build relationships with hyperscalers, systems integrators, and resellers, while serving as the face of TwelveLabs in the region. This senior role requires deep APAC relationships and a track record of building revenue-generating partnerships.

You'll set the technical direction for TwelveLabs' next-generation multimodal embedding models, owning **end-to-end model development** from research to production. You'll drive **large-scale distributed training** and **data strategy** to deliver models serving thousands of companies worldwide. This high-autonomy role uniquely blends research, systems design, and cross-team leadership.

You'll lead **video-language data collection** and **labeling projects** at Twelve Labs, a pioneer in multimodal AI. You'll automate processes and coordinate with partners to ensure high-quality data that directly improves AI model performance.

You'll serve as a dedicated technical resource for strategic customers, driving solution design and implementation of **video AI applications**. You'll co-build innovative solutions using **multimodal foundation models** and provide expert guidance across teams.

You'll own the bridge between **model capabilities** and **customer-facing products** at Twelve Labs. You'll lead the Korea-based product engineering team, driving technical direction and shipping production-grade software. This role combines hands-on architecture work with team building and cross-functional collaboration.

You'll design **multi-tenant architectures** and build **scalable CI/CD pipelines** for a leading AI video platform. You'll optimize cloud and on-prem infrastructure to support **cutting-edge video AI models** used by global enterprises.

You'll bridge the gap between Twelve Labs' **cutting-edge multimodal video AI** and real-world applications for APAC clients. You'll own technical relationships from discovery through production deployment, designing **scalable video AI architectures**. This role offers the chance to work with **NVIDIA-backed foundation models**.

You'll drive research and engineering for a groundbreaking video cognition system. You'll build scalable architectures for video memory and reasoning, enabling queryable structured access to archives. This role uniquely combines research with production, at the forefront of video AI.

You'll design and build backend systems for a **B2B SaaS platform** serving video AI models to global enterprises. You'll own critical platform infrastructure like **authentication, billing, and data layers**. This role offers the chance to shape **technical direction** in a fast-growing deep tech startup.

You'll architect and evolve cloud and hybrid infrastructure for **multimodal AI models** at a well-funded startup. You'll own key tradeoffs across reliability, cost, and velocity, **working directly on critical systems** while providing technical leadership. This role offers the chance to shape infrastructure from the ground up in a **fast-moving, early-stage environment**.

You'll lead a high-performing ML data engineering team and build the data infrastructure for multimodal AI models. Your work will directly impact the quality of cutting-edge video understanding models used globally. You'll drive **team growth** and **technical strategy** in a fast-paced deep tech startup.

You'll design and build robust model evaluation frameworks for **multimodal AI models** at a well-funded startup. Your work will directly impact **video understanding capabilities** and **data pipeline automation**. You'll collaborate closely with research and engineering teams.

You'll design and build robust model evaluation frameworks for video-language models, automating repetitive processes. Your work will directly enhance data quality and model assessment while collaborating with research and product teams. You'll drive our post-training evaluation strategy and improve tools for sustainable data operations.

You'll **lead model evaluation frameworks** and **drive data strategy** for a cutting-edge multimodal AI company. You'll design and build robust model evaluation pipelines, automate repetitive processes, and collaborate cross-functionally to improve data quality and tooling.

You'll own **communications and strategic relations** for Twelve Labs in Korea, scaling into APAC. You'll craft narratives about our **video AI technology** and connect us with government and industry stakeholders. This role is key to driving our visibility in a high-growth AI startup backed by top VCs.

You'll lead training infrastructure and operations for **Pegasus**, Twelve Labs' core video understanding model. You will drive end-to-end ML pipeline design and optimization, ensuring **scalable and reproducible large-scale distributed training**. The role offers access to cutting-edge AI computing and a cross-functional research-engineering team.