An unsettling report from 404 Media has shed light on some ways that the Ray-Ban Meta smart glasses could be used to violate people's privacy. Two Harvard students used facial recognition tech and a large language model to unearth a subject's name, occupation and other details. Their setup (dubbed I-XRAY) can use that information to pull together other data about the person including their address, phone number, family member details and partial Social Security Numbers from a variety of sources on the web. All of this is said to happen automatically. While this would be possible with a variety of cameras, AnhPhu Nguyen and Caine Ardayfio opted to use Meta's smart glasses since "they look almost indistinguishable from regular glasses" and have a camera built in.

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We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions. Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records.

We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable. The Data Engineering and Analytics Lab (DEAL) is a team of technical actuaries responsible for the design and implementation of our core statistical data-systems including data ingestion, data integration, data transformation, data analysis, and analytic dataset construction. We're an innovation group that is charged with visualizing the future of our organization's operations and leveraging our expertise in data, technology, P&C insurance, and process optimization to provide a first-class analytics environment to our data-collection, data-management, actuarial, and data-analytics colleagues. The DEAL team is looking to hire an experienced Lead ETL Data Engineer, ideally having a good combination of an analytical/innovative mindset, technical aptitude, business accumen, communication skills, and a passion for mentoring.

Nuro exists to better everyday life through robotics. We have an elite team of entrepreneurs, engineers, designers, and scientists. We believe AI and robotics are at the cusp of transforming daily life and we are dedicated to building meaningful products with this technology. Join us and play a critical role in our mission. Our team is growing and we are looking for talented engineers to join us.

The Corporate & Investment Banking Production Management Artificial Intelligence Operations has a mission to change how we support/manage the environment by leveraging new technology like AI/ML. The team applies AI to solve open ended problems that align state of the art AI solutions with enterprise scale challenges. In doing so, the team builds software systems, AI models, technology process and intelligent frameworks that minimize the technology risk, increase operational efficiency and increase the investment efficacy in general. In this particular instance, we are looking for a Data Scientist to join the team whose mission is to combine advanced analytical and quantitative techniques with technology business acumen to serve the technology portfolio of solutions. As a junior level Machine Learning Software Engineer in the Corporate & Investment Bank, you will be responsible for modeling complex problems, discover insights, manipulate terabytes of data and build cutting edge hybrid AI products that solve high impact and big scale problems through statistical modeling, machine learning, visualization and story telling that increases the operational value of our technology portfolio.

J.P. Morgan Asset and Wealth Management is a leading asset manager of choice for institutions, financial intermediaries and individual investors, worldwide. With a heritage of more than two centuries, a broad range of core and alternative strategies, and investment professionals operating in every major world market, we offer investment experience and insight that few other firms can match. Clear focus on managing client assets and delivering strong risk-adjusted returns. More than 650 investment professionals providing over 200 different strategies spanning the full spectrum of asset classes, including equity, fixed income, cash liquidity, currency, real estate, hedge funds and private equity. Responsibilities: * Collaborate with the banking business to deliver machine learning solutions.

Please note that visa sponsorship is not available for this position. New Relic is looking for a Senior Machine Learning Engineer to join our Applied Intelligence Services team. We are a blend of pure engineering (high efficiency, distributed services in JVM languages) and applied research (Python, Statistical Methods, and Machine Learning). Our team focuses on detecting and analyzing anomalous behavior. As a part of our AIOps solution, we provide tools to help customers analyze these issues and reduce the mean time to resolution.

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