Model code and data form the foundation of an AI system. Scale’s leading end-to-end solutions for the ML lifecycle based on real-world data will continue to set the bar for the data-centric AI movement.

We are looking for entrepreneurial Machine Learning Engineers to seed and grow our team. Your core focus will be on Content Understanding use cases - recommendations, discovery, marketplace trust & safety, etc. If you are excited about shaping the future of the data-centric AI movement, we would love to hear from you!

You will:

• Apply state of the art models developed internally and from the community, use them in production to solve problems for our customers and data labelers.
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.

Ideally you’d have:

• 3+ years of model training, deployment and maintenance in a production environment.
• Strong skills in computer vision, NLP, or deep learning.
• Solid background in algorithms, data structures, and object-oriented programming.
• Strong programing skills in Python, experience in Tensorflow or PyTorch.
• Strong written and verbal communication skills.

Nice to haves:

• Experience with deep learning with large scale video processing.
• Published research in areas of machine learning at major conferences and/or journals.
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Experience working on recommendation engines

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We’ve recently raised $325 million in Series E funding at a valuation of $7B+ and are expanding our team to accelerate the development of AI applications.