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.

Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Samsung Display America Lab is looking for a machine-learning engineer who will have the opportunity to work with cutting-edge technologies for future generations of display systems and devices.

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.

Dandy is transforming the massive ($200B) but antiquated dental industry. Backed by some of the world's leading venture capital investors, we are on an ambitious mission to integrate and simplify every function of the dental practice through technology. By building the operating system for every dental office in America, Dandy is empowering dentists with technology, innovation, and world-class support to achieve more for their practice, their people, and their patients. Dandy is hiring a team of top software engineers to build digital products and scale our managed marketplace. As one of Dandy's first engineers, you will play a key role in building our tech team.

Stripe is a financial infrastructure platform for businesses. Millions of companies--from the world's largest enterprises to the most ambitious startups--use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. Credit Intelligence brings together machine learning with product development to lower Stripe's credit risk at scale, while retaining a best in class user experience.

Michael Stefferson received his PhD in Physics from the University of Colorado before deciding to make the jump into machine learning (ML). He spent the last several years as a Machine Learning Engineer at Manifold, where he first started working on projects in the healthcare industry. Recently, Stefferson joined the team at Cerebral as a Staff Machine Learning Engineer and hopes to leverage data to make clinical improvements for patients that will improve their lives in meaningful ways. Here, he talks about use cases, best practices, and what he has learned along his journey into the field of ML. What is your background and how did you first get into machine learning?

Launched in December 2020, Coupang Play is Coupang's OTT (over-the-top) service. Coupang Play aims to become the definitive destination for digital content. Backed by our strong Product and Engineering teams in Seoul, Singapore, and Mountain View -- Coupang Play has been creating and optimizing the viewing experience for our customers. Coupang Play is available on mobile devices, tablet PCs, smart TVs, and your preferred browsers. We are building a competitive content library that includes TV for children and all ages, movies, live sports, educational content, and more.

Wayfair's Data Science & Machine Learning Team builds the algorithmic systems that drive our business. The team has a wide range of scope: Supply Chain and Operations, Fraud detection, Customer Feedback and Translations. As a result, we work with several different engineering teams in different departments for our model productization. As a Machine Learning Engineer, you will partner both with those teams and our Data Science tech leads to productionize cutting-edge models for Supply Chain and Operations in customer-facing scenarios providing significant business-impact. You will thus join our Staff Machine Learning engineering to build out the supply chain and operations area which is one of the newest global domains of Wayfair's Data Science Team.

Headspace and Ginger have recently merged to become Headspace Health! While roles are still being recruited separately on our respective websites, new hires from this point forward will be joining Headspace Health. For more information, please speak with your recruiter! We are looking for an outstanding machine learning engineer who is passionate about helping to improve the accessibility of mental health care. You will be working closely with our data science, product, engineering and care teams as you build and maintain conversational AI models that improve the wellbeing of our members.

We are looking for a Staff Machine Learning Engineer to join our team. The ideal candidate will set the technical direction of their team to build and deploy ML solutions for pricing optimization - a high visibility and key initiative for TRR. Pricing optimization is core to our profitability and to ensuring that our users get the most value from consigning and buying with us. We are looking for someone who will find passion in the application of advanced optimization techniques to millions of items and be at the forefront of innovation in e-commerce. The ideal candidate for this role will be a thought leader and forward thinker who is eager to drive high impact efforts in close collaboration with a talented team of machine learning engineers, business stakeholders, product, analytics and software engineering partners.