HeyGen
Multimodal · AI avatar video generation
Currently tracking 6 active AI roles, up 20% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $175k–$225k (avg $200k).
Multimodal · AI avatar video generation
HeyGen has 8 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 38% of the open positions. Engineering is the dominant function, with 6 listings. The company is hiring in the United States and Canada. Frequent tech tags include model_serving, inference_infra, and multimodal, suggesting a focus on deploying and optimizing models for multimodal applications. There were 0 new AI roles posted in the last 30 days, a 100% decrease compared to the prior 30-day period.
HeyGen currently has 8 active AI-related roles in our index. The most common open titles are: Data Infrastructure Engineer, Fullstack Software Engineer, Head of Developer Experience, Research Engineer, Security Engineer. Most positions are in Engineering and Research.
HeyGen's active AI hiring is concentrated in: serving infrastructure (38%), application (25%), agents (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
HeyGen is hiring AI talent in: United States (8 roles), Canada (3 roles).
Job postings at HeyGen most frequently mention: Generative AI, Cloud Infrastructure, Multimodal Learning, Machine Learning, GPU Computing.
In the past 30 days, HeyGen has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, AI Compute Infrastructure 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. | ServeData | 8 |
| Tech Lead, AI Compute Infrastructure 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. | Serve |
| 8 |
| Data Infrastructure Engineer 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. | Serve | 7 |
| Senior Software Engineer, Dev Productivity 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. | — | 0 |