Lightricks is a pioneer in creativity tools that inspire people to craft visual content and share the world through their eyes with friends, family and followers. Our suite of content creation apps has over 500 million downloads worldwide and won numerous prestigious awards —including Apple's App of the Year, the Apple Design Award and both Apple’s andGoogle Play’s Best of the Year. Lightricks is a data driven company, and thus the Data Science group has a big impact on our customers’ experience and Lightricks’ success. 

The opportunity:

We’re looking for a Machine Learning Engineer to take part in designing and building our AI/ML Platform. We also welcome Backend/DevOps engineers with a passion for Data and ML that wish to learn on the job by working alongside experts in the field.

If you you’re passionate about AI/ML, have a strong software engineering background with Python and experienced with bringing code to a production grade -> You’re at the right place

This is a unique opportunity to build a research and production machine learning platform at scale! 

• Build infrastructure for an efficient research (training, optimization, evaluation) 
• Build infrastructure for running production inference and training on various data types - tabular, image, video 
• Design and build scalable production data processing pipelines
• Optimize models speed and memory consumption
• Dockerize workloads 
• Build tools for visualizations
• Evaluate and integrate different third party solutions

In this role, you'll work closely with our Data Science and Backend Engineering teams to build our entire ML platform, from model training to production. This is a valuable opportunity to take a significant role in scaling algorithms on a popular global platform.

• 5+ years experience in software engineering
• BSc in Computer Science or any related degree
• All-around team player who is a self-motivated, fast learner
• Strong programming skills in Python
• Background working with a cloud technology stack like AWS, Azure, or GCP
• Knowledge of relational and NoSQL databases
• Experience working on high-scale, production-grade projects
• Great impersonal skills, working with different interfaces
• Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production is a plus