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Lead a team of engineers to build products and deliver solutions, depending on previous architecture and technical leadership experience. Design and implement highly scalable and reliable data proces...
Collaborate with a multi-disciplinary team of extraordinary engineers and researchers to build the next generation of creative tools. This is a “best of both worlds” opportunity where you’ll have the...
Imagine new feature ideas and design real-time data pipelines to incorporate them into our models. Work with risk and policy teams to understand our risk programs and address their needs...
Collaborate with scientists and researchers to prioritize and execute projects related to innovations in conversational commerce including Natural Language Understanding and state-of-the-art Dialog Ma...
Manage the scope and time needed to develop complex learning solutions; define the process, risks and resources needed, and quickly adapt learning strategies as business priorities and learning needs...
Broad knowledge of computer science and systems; ability to quickly learn new domains.
Build profession capability and skills for today and tomorrow leveraging Career Stage Profiles work driving through Learning Paths.
As a Technical Lead for Machine Learning Infrastructure, you will drive strategy for product definition, resource provisioning, and help design cluster scheduling, storage, and network coordination. Y...
You will be part of the team proudly tackle problems the world has never solved. You will build models from structured and unstructured data. You will architect data-driven functionalities and automat...
· Own program communication, accelerating progress by driving crisp and timely decisions, clearing blockers (e.g., path to green), escalating as appropriate...
. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be e...
You should expect to exercise both your coding skills and creative abstract thinking as you map real world processes to automated systems. Please be aware that even though diving deep into machine lea...
Conceive, propose and deliver technologies centered on Machine Learning in heterogeneous compute architectures. Test and analyze the performance systems using datasets and execution patterns that matc...
Design experimental features, model architectures, and loss functions for improving the value extracted from each real-time ad auction.
Product Management, Machine Learning Engineering and Data Science leaders to define, refine, and drive delivery, facilitate and own technical decisions, and deploy stable and secure code into product...