Machine Learning Infrastructure Engineer
Creatify AI
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See open jobs at Creatify AI.See open jobs similar to "Machine Learning Infrastructure Engineer" The MBA Fund.Software Engineering, Other Engineering
Posted on Mar 12, 2025
Machine Learning Infrastructure Engineer
About this role
We're hiring a full-stack engineer. We're open to professionals with a few years of experience and ambitious new graduates. In this role, you'll work closely with our CTO and other engineers to develop and shape Creatify's industry-leading AI video ad solution.
This is a full-time, in-person position based in Mountain View, CA.
Company Description
Creatify.ai is an AI-powered marketing tool that empowers businesses to create high-quality video ads in seconds. It eliminates the need for lengthy production cycles or expensive video editing software. Instead, Creatify uses your product URL to analyze details, gather design assets, and generate engaging marketing videos specifically designed to resonate with the target audience. Our user-friendly platform boasts features like AI avatars, text-to-speech in 29 languages, and the ability to customize videos for various social media platforms. We’ve grown from 0 and 800,000 users in one year. We’re on a mission to redefine the future of video advertising.
Responsibilities
As a Machine Learning Infrastructure Engineer at Creatify, you will be responsible for:
Building and maintaining scalable and efficient machine learning infrastructure.
Collaborating with data scientists and engineers to improve model performance and operational efficiency.
Ensuring smooth model deployment and serving for our AI video ad solution.
Developing and maintaining backend systems to handle high volumes of data and model serving.
Contributing to the full development lifecycle of machine learning models, from experimentation to production.
Writing clean, efficient, and scalable code to support machine learning workflows.
Qualifications
3+ years of experience in backend development or machine learning infrastructure.
Familiarity with Docker, SQL, and cloud platforms (AWS, GCP, or Azure).
Experience with model serving and deploying machine learning models to production.
Proficiency in Python and frameworks like Django or Flask is a plus.
Previous experience in video, ads, or AI is a significant plus.
Fast-paced work style. We operate at a high speed, and so should you.
Excellent communication, teamwork skills, and problem-solving ability.
A genuinely nice person.
Benefits
Innovation at Speed: Work on meaningful projects with the freedom to experiment and innovate.
Culture: Become part of a culture that celebrates diversity, inclusion, and passion for technology.
Network: Build lasting connections with industry leaders and peers.
Competitive Compensation: Receive a competitive stipend, access to state-of-the-art facilities, and more.
We are an equal opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
How to Apply
Think you're the one we've been looking for? Here's how to apply:
Send your resume to recruiting@creatify.ai
Use the subject line: "Application for Full-stack Engineer".
Share anything that showcases your most impressive and relevant achievements.
We're excited to see what you bring to the table. Apply today!
This job is no longer accepting applications
See open jobs at Creatify AI.See open jobs similar to "Machine Learning Infrastructure Engineer" The MBA Fund.