Scale is a rapidly growing post-Series B startup. Our mission is to accelerate the development of AI applications. Our first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Our customers include Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy, and many more, and we've become an industry standard for the self-driving car market.
We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. We currently complete millions of tasks a month, and will grow to complete billions of tasks monthly.
As a machine learning engineer, you will:
- Create optimized and efficient tooling, like Guided Automatic Segmentation, for taskers to complete complex tasks with speed and accuracy.
- Reliably evaluate data quality at scale.
- Intelligently route tasks from customers to specialized taskers for low turnaround and high accuracy.
- Automatically hire, train and onboard taskers.
Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Our advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics teams at companies like nuTonomy, Nuro, Voyage, Embark, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.