End-to-end solutions for the entire ML lifecycle
At Scale, our mission is to accelerate the development of Machine Learning and AI applications across multiple markets. Our first product is a suite of APIs that allow AI teams to generate high-quality ground truth data. Our customers include OpenAI, General Motors, NVIDIA, Pinterest, Airbnb, and many more.
The goal of a Machine Learning Engineer at Scale is to bring techniques in the fields of computer vision, deep learning and deep reinforcement learning, or natural language processing into a production environment to improve scale.ai’s products and customer experience. Our research engineers take advantage of our unique access to massive datasets to deliver improvements to our customers.
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 Research Engineer, you will:
*Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.
Nice to Haves:
Scale AI is an equal opportunity employer. We aim for every person at Scale to feel like they matter, belong, and can be their authentic selves so they can do their best work. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Scale AI is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at email@example.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
Scale's mission is to accelerate the development of AI applications.
Scale is a vital part of bringing machine learning enabled technologies to the world, from autonomous driving to drones, robots and VR / AR. Our suite of managed labeling services combines manual labeling with best in class tools and machine driven checks to yield stunningly accurate training data. Scale is committed to continual innovation in combining humans with AI to prepare intelligent data, passing on these improvements to our customers (such as Alphabet (Google), Zoox, Lyft, Pinterest, Airbnb, nuTonomy) and powering a growing future of AI applications.
Scale's team consists of 120 people and 35 engineers of industry veterans from Dropbox, Google, Palantir, Quora, OpenAI and others.