Senior Machine Learning Scientist at Metropolis United States › Washington › Seattle (Posted Mar 9 2023) Please mention that you found the job at Jobhunt.ai Apply now! Do they allow remote work? Remote work is possible, see the description below for more information. Job description Seattle, WA or Remote The Company Metropolis develops advanced computer vision and machine learning technology that make mobile commerce remarkable. Our platform is already deployed in hundreds of mobility facilities and industries with billions of dollars in opportunity.

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our services: Gradescope by Turnitin, iThenticate, Turnitin Feedback Studio, Turnitin Originality, Turnitin Similarity, ExamSoft, and ProctorExam. Turnitin has offices in Australia, India, Indonesia, Japan, Korea, Mexico, the Netherlands, the Philippines, Ukraine, the United Kingdom, and the United States. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and WeBull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. We are based in Dallas, TX and also have offices in Austin, New York, Chicago, Los Angeles, Portland, and Belfast. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you.

Upwork ($UPWK) is the leading tech solution for companies looking to hire the best talent, maintain flexibility, and get more done. We're passionate about our mission to create economic opportunities so people have better lives. Every year, more than $2 billion of work is done through Upwork by skilled professionals who want the freedom of working anytime, anywhere. The ideal candidate will have experience building machine learning solutions at scale to deliver meaningful business impact. You care deeply about helping our users succeed and are excited to tackle technical challenges.

Are you interested in building, leading and driving the machine learning technical vision, strategy and implementation for product development centered on protecting our customers from potentially unsafe products? Global Product Safety and Compliance (GPSC) is hiring a Senior Machine Learning Scientist (MLS) to lead the definition and prioritization of machine learning capability for emerging risk assessment, proactive safety controls, and dynamic product classification. GPSC Product and Technology is responsible for the technology infrastructure enabling the safety of all products globally at Amazon. You will be a senior technical leader in the existing GPSC Product and Technology team to drive the data science and machine learning needed for our product development and safety control processes. Our goal is to disrupt the current state of risk assessment at Amazon and the world by using machine learning to bring together deep subject matter expertize and automated data-driven decision-making.

Machine learning is not new. SAS has been doing it for over 20 years and some early machine learning papers date back to the 50's. So why is it one of the hottest topics at the Strata Hadoop World conference later this week? Clearly, Hadoop is playing a major role in the increased focus on machine learning. Patrick Hall is a Senior Machine Learning Scientist at SAS.

Machine learning is not new. SAS has been doing it for over 20 years and some early machine learning papers date back to the 50's. So why is it one of the hottest topics at the Strata Hadoop World conference later this week? Clearly, Hadoop is playing a major role in the increased focus on machine learning. Powerful, low-cost distributive computing environments coupled with Hadoop give data scientists the ability to run iterative models (like neural networks) they may not have been able to in the past.