Companies hiring AI/ML people (sorted by company name)

All registered AI/machine learning jobs, listed by the company names.

Sort by: Date posted | Title | Company ▶ Filter by: Remote only | USA/Canada | Outside of USA

Adarga Adarga [ Website ]
Natural Language Processing Data Scientist, London, United Kingdom
Actionable Intelligence Adarga builds powerful analytical software, automating time-intensive tasks for our customers, learning by reading and understanding data at speeds humans are unable to achieve. Adarga connects your objectives to real world insights and transforms the value customers can uncover in their data. Adarga leverages the latest advances in machine learning and scalable engineering within a flexible plug-and-play microservices architecture. Our technology enables organisations to adopt advanced end-to-end AI analytics, simply, securely and at scale, without large upfront investment. Adarga focusses on sector-specific verticals to deliver sector-leading performance. Our first sector is Defence and Intelligence, other sectors will be announced shortly.
Affirm Affirm [ Website ]
Software Engineer - Machine Learning, San Francisco, California, United States
Affirm is reinventing credit to make it more honest and friendly. Started by PayPal co-founder Max Levchin, Affirm gives consumers the flexibility to buy now and make simple monthly payments. Unlike other credit options, Affirm offers transparent payment terms (no fees or compounding interest), and employs advanced technology to reach a broader consumer population
Aipoly Aipoly [ Website ]
Deep Learning Engineer - Vision, San Francisco, California, United States
Fully Autonomous Markets
Airbnb Airbnb [ Website ]
Software Engineer, Machine Learning, San Francisco, California, United States
Founded in August of 2008 and based in San Francisco, California, Airbnb is a trusted community marketplace for people to list, discover, and book unique accommodations around the world — online or from a mobile phone. Whether an apartment for a night, a castle for a week, or a villa for a month, Airbnb connects people to unique travel experiences, at any price point, in more than 33,000 cities and 192 countries. And with world-class customer service and a growing community of users, Airbnb is the easiest way for people to monetize their extra space and showcase it to an audience of millions.
Allstate Allstate [ Website ]
Sr. Data Scientist - NLP & Deep Learning, Bothell, Washington, United States
We are the Good Hands: We help people realize their hopes and dreams through products and services designed to protect them from life’s uncertainties and to prepare them for the future. The Allstate Corporation is the largest publicly held personal lines property and casualty insurer in America. Allstate was founded in 1931 and became a publicly traded company in 1993. Allstate offers car insurance, home, property, condo and renters insurance, plus insurance for recreational vehicles like motorcycles, boats and more. The Allstate family of companies offers financial products including college savings programs, retirement planning and a range of life insurance products including term life and whole life.
Alpha Alpha [ Website ]
Machine Learning/NLP Engineer, NYC, New York, United States
Alpha's platform enables management teams at the world's leading organizations (Aetna, Citi, Experian, etc.) to make data-driven decisions about users, products, and markets.
Amazon Amazon [ Website ]
Machine Learning Scientist, Alexa Speech, Seattle, Washington, United States
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
AnswerIQ AnswerIQ [ Website ]
Data/NLP Scientist, Bellevue, Washington, United States
AnswerIQ is an artificial intelligence service in the customer support space. It uses sophisticated algorithms to read and understand all the interactions from past tickets between the customer support agent and the customer. Once implemented, AnswerIQ enables a business to intelligently classify and automatically respond to simple known issues and more importantly assist the agents with recommended responses to complex questions. It works within the existing customer experience systems like Zendesk, Salesforce, etc. to eliminate the need to learn any new system.
Apple Apple [ Website ]
Siri - Machine Learning Engineer, Proactive Intelligence, Santa Clara Valley, California, United States
Apple is a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same passion for innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.
Asurion Asurion [ Website ]
Machine Learning Engineer Intern, Nashville, Tennessee, United States
Simply put, Asurion helps people stay connected. As the global leader of connected life services, we provide over 300 million consumers around the world with simple, intuitive technology advice to help them get the most from their devices; support to fix their issues and connectivity crisis, and device protection to ensure they receive a replacement or repair. When a product is missing or simply doesn't work properly, Asurion’s 17,000 employees are focused on solving the problem with people and processes operating 24 hours a day, seven days a week, speaking six languages, and working across any device, platform, or provider. By partnering with leading retailers, mobile carriers and pay-tv providers, Asurion helps customers enhance their lives through their technology.
LOADING...
 
About Jobhunt.ai