Machine Learning Engineer, Video Translation

Position Summary

As a Machine Learning Engineer on the Video Translation team, you will be instrumental in advancing the quality, reliability, and scalability of our core translation technology. This role sits at the exciting intersection of backend systems engineering and Applied Generative AI. You will be responsible for the full lifecycle of our processing pipeline — spanning text, audio, and video — to deliver a flawless and accurate translation experience to millions of users.

You will join a team with exceptional resources, including direct access to leading engineering partners and the ability to train and fine-tune generative models in-house. If you are passionate about building robust, high-performance systems that power cutting-edge AI products, this is the role for you.

Key Responsibilities

• System Design & Development: Design, build, and maintain scalable, low-latency backend systems and infrastructure for our end-to-end video translation pipeline.
• AI/ML Pipeline Optimization: Analyze and improve the efficiency of our ML systems, focusing on reducing the real-time processing factor, minimizing resource consumption, and lowering costs.
• Evaluation & Quality Assurance: Develop and operate a robust AI evaluation framework to continuously benchmark in-house models and third-party vendor solutions, using both offline metrics and online (Side-by-Side) comparisons.
• Reliability & Monitoring: Proactively monitor system performance, errors, and quality anomalies. Analyze user feedback and system data to identify root causes, then implement and deploy durable fixes to enhance pipeline reliability.
• Cross-Functional Collaboration: Work closely with product managers, research scientists, and infrastructure engineers to define requirements, integrate new models, and deliver best-in-class, performant systems.
• Continuous Learning: Stay current with the latest advancements in generative AI, distributed systems, and MLOps to drive innovation and ensure HeyGen remains at the forefront of technology.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 2+ years of professional experience in ML engineering, building and maintaining scalable, high-performance systems.
• Strong proficiency in Python or C++.
• Demonstrated experience with AI/ML projects or MLOps, such as building data pipelines, deploying models, or creating evaluation systems.
• Experience building and deploying applications on at least one major cloud platform (e.g., AWS, GCP, Azure).
• Solid understanding of API design principles.

Preferred Qualifications

• Experience with large-scale, distributed data processing systems (e.g., Kafka, Spark, RabbitMQ, Celery).
• Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Prior experience working directly with audio, video, or natural language processing data domains.
• Experience with ML frameworks such as PyTorch or TensorFlow.
• Proven ability to root-cause complex technical issues in a distributed systems environment.

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment focused on innovation and creativity.
• Opportunities for professional growth and leadership development.
• A fast-paced, impact-driven culture with direct access to cutting-edge AI applications.
• Access to advanced tools, compute infrastructure, and cross-disciplinary talent.

HeyGen is an Equal Opportunity Employer.
We celebrate diversity and are committed to creating an inclusive environment for all employees.

Join us at HeyGen and be part of a team that's reshaping the world of video creation through innovative technology!