Workers say the firm's'warp-speed' approach fuels pressure, layoffs and rising emissions More than 1,000 Amazon employees have signed an open letter expressing "serious concerns" about AI development, saying that the company's "all-costs justified, warp speed" approach The letter, published on Wednesday, was signed by the Amazon workers anonymously, and comes a month after Amazon announced mass layoff plans as it increases adoption of AI in its operations. Among the signatories are staffers in a range of positions, including engineers, product managers and warehouse associates. Reflecting broader AI concerns across the industry, the letter was also supported by more than 2,400 workers from companies including Meta, Google, Apple and Microsoft . The letter contains a range of demands for Amazon, concerning its impact on the workplace and the environment. Staffers are calling on the company to power all its data centers with clean energy, make sure its AI-powered products and services do not enable "violence, surveillance and mass deportation", and form a working group comprised of non-managers "that will have significant ownership over org-level goals and how or if AI should be used in their orgs, how or if AI-related layoffs or headcount freezes are implemented, and how to mitigate or minimize the collateral effects of AI use, such as environmental impact".

Freshworks makes it fast and easy for businesses to delight their customers and employees. We do this by taking a fresh approach to building and delivering software that is affordable, quick to implement, and designed for the end-user. More than 50,000 companies -- from startups to public companies -- around the world use Freshworks software-as-a-service to enable a better customer experience (CRM) and employee experience (ITSM) Headquartered in San Mateo, California, Freshworks has a dedicated team operating from 13 global locations to serve customers, including American Express, Sony, Vice Media, TaylorMade, Sotheby's, Stitchfix, OfficeMax, Multichoice, Delivery Hero, ITV, and Klarna. Freshworks transforms the way world-class organizations collaborate with customers and co-workers. The suite includes Freshdesk (omnichannel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk).

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Estonia, Argentina and India. We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.

We are looking for a software professional in machine learning to develop our content moderation machine learning service. As the Senior Software Engineer, Machine Learning you will be responsible for building the cloud based services around machine learning models to evaluate user generated content at scale in the Etsy marketplaces. You will also be involved in related testing and integration of these systems with other Etsy marketplace systems, Trust & Safety tools, ML and Data systems. Do you find joy in making eCommerce safer while minimizing the impact on legitimate buyers and sellers? If so, this could be the perfect match.

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Ugam, a Merkle company, is a leading analytics and technology services company. Our customer-centric approach delivers impactful business results for large corporations by leveraging data, technology, and expertise. We consistently deliver superior, impactful results through the right blend of human intelligence and AI. With 4600 people spread across locations worldwide, we successfully deploy our services to create success stories across industries like Retail & Consumer Brands, High Tech, BFSI, Distribution, and Market Research & Consulting. Over the past 21 years, Ugam has been recognized by several firms including Forrester and Gartner, named the No.1 data science company in India by Analytics Insight, and certified as a Great Place to Work .

The Machine Learning Engineering team has developed a prediction framework used by all Teads teams. 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.

Our team researches and develops machine learning models and systems that help make the Internet a safer place. We serve customers across multiple verticals such as online commerce, delivery service, finance, travel sites, etc., and we have customers in both developed and developing countries. Our technology helps protect Internet users from ever-evolving online scams, payment fraud, abusive content, account takeover, etc. We are a forward-thinking team constantly challenging ourselves and the status quo to push the boundary of machine learning and data science across multiple product offerings at Sift and collaborate with product engineering teams to deliver tangible customer value. We take pride in our work, not ourselves.

Rec Room is the best place to build and play games together. Chat, hang out, explore MILLIONS of rooms, or build something new to share with us all! As a Senior Machine Learning Engineer, you'll be building the infrastructure that powers our ML solutions enabling us to bring amazing content and experiences to our players. In this role, you will have the opportunity to shape how we train, build and serve our models. You will build infrastructure that enables fast iteration and A/B testing at scale and have the autonomy to make critical design decisions that will shape the future of ML at Rec Room.

Carbon Re is an AI research and development company dedicated to reducing gigatonnes of CO2 from humanity's emissions each year. We are focused on the energy intensive manufacturing industries; cement, steel, glass, etc., which are responsible for approximately 20% of global emissions and are referred to as'hard-to-abate industries' for which there is currently no viable path to decarbonisation. Our mission is to develop Machine Learning products and solutions that can enable rapid decarbonisation of these industries. Initially this will involve improving and optimising the current manufacturing process but in the long term we aim to rethink and redesign these manufacturing systems for net-zero and accelerate the development of new climate-friendly materials and processes. As an experienced engineer in our Machine Learning team, you will lead the improvement of our recommendation engine by improving our models and developing better optimisation systems.