HeyGen

This role involves deploying and integrating AI video platform solutions for enterprise customers, acting as a bridge between customer needs and HeyGen's product/engineering teams. It requires owning end-to-end deployments, building on the HeyGen API, managing escalations, and providing feedback to product development. The role emphasizes customer-facing AI systems and requires hands-on experience with generative AI in production.

Software Engineer focused on building and scaling the foundational compute infrastructure for AI models, including multimodal training data pipelines and high-throughput, low-latency video generation. Responsibilities include optimizing GPU utilization, developing large-scale AI job frameworks, enhancing observability, accelerating pipelines with AI researchers, and managing cloud/container technologies.

Tech Lead for AI Compute Infrastructure at HeyGen, focusing on building and scaling the platform for generative video models. Responsibilities include optimizing GPU utilization, developing large-scale AI job frameworks, enhancing observability, accelerating pipelines with custom techniques, and managing cloud/container technologies like Kubernetes and Ray. Requires 5+ years in MLOps/AI infrastructure/HPC, experience with Ray, Spark, Python, C++, Kubernetes, and ML frameworks.

Software Engineer with data engineering responsibilities to build data foundational layers for next-generation features, enabling AI models to function in real-time and powering engaging user experiences. The role involves building and scaling data pipelines for multimedia data, powering intelligent features, architecting data lakehouse solutions, ensuring data reliability, and productizing data for AI agents.

Data Infrastructure Engineer responsible for designing, building, and maintaining data systems and infrastructure to support AI applications, collaborating with data scientists and ML engineers, and optimizing computational workflows. Experience with large-scale AI/ML projects and batch inference systems is required.

Software Engineer on the product eng team working on crucial product features for Heygen, from frontend to backend API to ML models. Passionate about creating impactful AI products.

Backend Engineer focused on developing core systems and infrastructure for a visual content platform, with a preferred qualification in Machine Learning Infrastructure, particularly computer vision.

Frontend Engineer for an AI-powered video creation platform, focusing on user-facing components, collaboration with designers and backend engineers, and user experience.

Full stack engineer to work on crucial product features for HeyGen, taking end-to-end ownership from frontend to backend API to ML models. The role requires experience in React, Javascript, Python, RESTful API development, and cloud platforms.

This role focuses on improving developer productivity by streamlining engineering workflows, optimizing CI/CD systems, and enhancing build and testing infrastructure. It involves designing and maintaining CI/CD pipelines, developing internal tools, and optimizing build systems. The role requires strong experience with CI/CD tools, build systems, and scripting languages.

Backend Engineer responsible for designing, developing, and deploying scalable and efficient backend systems, APIs, and managing databases for a visual content creation platform.