About HeyGen
At HeyGen our mission is to make visual storytelling accessible to all. Over the last decade visual content has become the preferred method of information creation consumption and retention. But the ability to create such content in particular videos continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach captivate and inspire audiences.
Learn more at . Visit our Mission and Culture doc here.
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
Bachelors 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 thats reshaping the world of video creation through innovative technology!
Key Skills
Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting
Employment Type : Full Time
Experience : years
Vacancy : 1