Backend Engineer (ML Platform)

Posted 2 Days Ago
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Taipei City
Hybrid
Mid level
Artificial Intelligence • Information Technology • Internet of Things
The Role
As a Backend Engineer for the ML Platform, you'll design and build robust platforms for deploying ML models, ensuring their efficiency and effectiveness in production environments, while collaborating with cross-functional teams.
Summary Generated by Built In
About Us:
We are a profitable and growing company, originating in Silicon Valley and now headquartered in Taiwan. We combine intuitive design with Creative AI tech to create inspiring products for millions of people worldwide.

We offer a fun, creative, and international workplace with competitive compensation, stock options, flexible hybrid work, free lunch, and more.

Ready to make a big impact with a talented team? Come create with us.

About the Role:
At PicCollage, our Machine Learning, Algorithms & Data (MLAD) team thrives on solving complex challenges with elegance and scale. As a Backend Engineer (ML Platform), you’ll be at the heart of this—designing and building robust platforms and pipelines that make it seamless to develop, deploy, and monitor ML models used by millions worldwide.
You’ll collaborate closely with a team of like-minded experts who love sharing their deep domain knowledge, working together to bring cutting-edge AI research into real-world products. With a culture that champions continuous learning (yes, we sponsor trips to world-renowned conferences like CVPR), you’ll grow as you help deliver high-impact innovations—fast, reliable, and at scale.
You will work closely with ML engineers, backend teams, and product teams to bring cutting-edge AI research into real-world products and ensure that models are reliably integrated and operate efficiently in production.
This role is sometimes known as MLOps Engineer in other organizations, but we use Backend Engineer (ML Platform) to emphasize strong backend development and infrastructure skills.

What You'll Do:

  • Design, implement and maintain machine learning platform and data pipelines, ensuring seamless deployment, scaling, and monitoring of models in production environments.
  • Set up monitoring systems for deployed models and tracking key metrics.
  • Apply and share software engineering best practices within the context of machine learning.
  • Collaborate with ML engineers to ensure model performance is maintained in production and work with software engineers to integrate ML systems into the broader application stack.
  • Accelerate machine learning development, evaluation, and integration speed through automation of workflows, tools, and processes to enhance collaboration and efficiency.

What We’re Looking For:

  • Proficiency in Python, with solid software engineering fundamentals.
  • Hands-on experience designing and building backend APIs or services with frameworks like FastAPI, Django, or similar.
  • Experience building and operating containerized applications using Docker, with hands-on expertise in managing Kubernetes clusters.

Nice-To-Haves:

  • Experience with cloud platforms such as GCP, AWS, or Azure.
  • Experience with machine learning frameworks (PyTorch, TensorFlow).
  • Experience with MLOps tools (Kubeflow, MLflow, TFX).
  • Experience with monitoring tools (Prometheus, Grafana) and logging frameworks.
  • Knowledge of data engineering concepts (ETL pipelines, data lakes, data warehouses).
  • Understand and apply AI tools into your workflow.

Top Skills

AWS
Azure
Django
Docker
Fastapi
GCP
Grafana
Kubeflow
Kubernetes
Mlflow
Prometheus
Python
PyTorch
TensorFlow
Tfx
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The Company
San Francisco, California
118 Employees
Year Founded: 2017

What We Do

At PicCollage Company, innovation and creativity drive everything we do. We pride ourselves on embracing the concept of Creative AI. Creative AI is about harnessing the power of AI to unlock everyone's creative potential, particularly with images and videos.

Our PicCollage app is a leading photo & video app for iOS and Android with over 260 million downloads worldwide. It empowers users to create collages with images, text, stickers, GIFs, and videos, which they can easily share with friends and followers.

In addition to PicCollage app, with our Explore Effort, we are focusing on building new products that make life more interesting by helping people connect, create, and celebrate. Our goal is to deliver simple yet powerful products that enable people to share the moments of their lives.

Life shouldn't be boring, and neither should work. Do you thrive on tackling challenging problems, enjoy working with talented coworkers in cool offices? Come join us to create fun and innovative apps for millions of users around the world with Creative AI!

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