Machine Learning Engineer, Video Translation at HeyGen

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Video TechnologyIndustries

Requirements

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

Responsibilities

Design, build, and maintain scalable, low-latency backend systems and infrastructure for our end-to-end video translation pipeline
Analyze and improve the efficiency of our ML systems, focusing on reducing the real-time processing factor, minimizing resource consumption, and lowering costs
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
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
Work closely with product managers, research scientists, and infrastructure engineers to define requirements, integrate new models, and deliver best-in-class, performant systems
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

Skills

Key technologies and capabilities for this role

Machine LearningGenerative AIBackend SystemsPipeline OptimizationSystem DesignML PipelineAI EvaluationMonitoringVideo ProcessingAudio ProcessingLow-Latency SystemsScalable Infrastructure

Questions & Answers

Common questions about this position

What experience level is required for this Machine Learning Engineer role?

The role requires 2+ years of professional experience in ML engineering, building and maintaining scalable, high-performance systems.

What programming languages are needed for this position?

Strong proficiency in Python or C++ is required.

What education is required for the Machine Learning Engineer role?

A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience is required.

What is the team environment like for this role?

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.

Is the salary or compensation mentioned for this position?

This information is not specified in the job description.

HeyGen

AI video editor for professional content creation

About HeyGen

HeyGen provides an AI video editor that enables users to create professional spokesperson videos without needing human actors. The platform uses AI-generated avatars, allowing users to select from various virtual actors, apply automatic translations, and choose different accents to cater to diverse audiences. This service is particularly beneficial for small businesses, educational institutions, and marketing professionals who require high-quality video content quickly and affordably. Unlike traditional video production, which can be costly and time-consuming, HeyGen streamlines the process, making it accessible to a wider range of clients. The company operates on a subscription model, offering different service levels to accommodate both small and large enterprises, ensuring a steady revenue stream while providing continuous updates and customer support. HeyGen's goal is to simplify video content creation and meet the increasing demand for engaging digital content.

Los Angeles, CaliforniaHeadquarters

2020Year Founded

$72.6MTotal Funding

SERIES_ACompany Stage

Consumer Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Unlimited Paid Time Off

Parental Leave

Mental Health Support

401(k) Retirement Plan

Risks

Emerging competition from AI video platforms threatens HeyGen's market share.

AI voice cloning advancements may lead to regulatory challenges for HeyGen.

HeyGen faces ethical concerns over AI-generated misinformation and identity theft.

Differentiation

HeyGen uses AI to create videos without actors, cameras, or editing.

The platform offers automatic translations and diverse accents for global audience reach.

HeyGen's subscription model provides continuous updates and customer support.

Upsides

HeyGen raised $60M in Series A, valuing the company at $500M.

Partnerships with media companies expand HeyGen's market reach and applications.

Growing demand for AI-generated video content boosts HeyGen's market potential.

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