…No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers…

Squarespace’s Applied Data & Insights (ADI) organization powers data-driven decision-making across the company with teams spanning Analytics, Data Science & Machine Learning, Analytics…

…Experience - 4–6 years in GTM strategy, revenue operations, sales strategy, or a related function — ideally at a high-growth B2B SaaS or infrastructure…

…Join Affirm as a Machine Learning Engineering Manager and become a pivotal part of our Repayment & Recovery machine learning group. Specifically, you will manage…

…Familiarity with AI and machine learning technologies is a plus, as these are increasingly influential in designing intuitive, predictive customer communication strategies. You are…

…or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In…

…and Machine Learning Data Platforms team, you will design and deliver secure, high-quality technology solutions that support our data and analytics strategy. You…

…Familiarity with financial data feeds and market data integration, ensuring efficient data handling and processing in trading systems. Ability to troubleshoot complex software issues…

…Vast is seeking a Manager, Procurement (Machining) to lead procurement strategy, supplier execution, and team performance for machining commodities supporting the development and production…

…spaces and providing data-backed strategy recommendations. Furthermore, you will utilize Airbnb’s sophisticated data infrastructure and machine learning tools to expand our organizational…

…the technical strategy for efficiency projects where the solutions are not yet known. You will lead cross-functional efforts, working with finance and cost…

…DCS, teaming, offset, financing), while running the international machinery that makes a sale legal and deliverable (ITAR/EAR licensing, releasability, end-use management) in…

…solution strategy and where to simplify or extend solutions for the best outcome - Master's degree in computer science, mathematics, statistics, machine learning or…

…Between engagements, you're producing reference architectures, leading workshops, or briefing account teams on AI strategy for upcoming customer conversations. You move fast, build…

…leading engineering discussions around technology decisions and strategy related to a product - Experience building large-scale machine learning and AI solutions at Internet scale…

…Our team blends machine learning models to rank and select the best offer from the most trusted merchant for all products sold on Amazon…

…This is a strategic position, and you will provide technology leadership in support of the data pipelining strategy. The role will be responsible for…

…Job responsibilities Manage platform strategy and modernization (cloud-first, data-first), including AI enablement for efficiency, anomaly detection, and automation of controls. Champion engineering…

…Join one of the world's most trusted financial institutions and help build the security foundation that protects millions of customers and critical business…

…technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical…

…As an Applied Artificial Intelligence and Machine Learning Lead at JPMorganChase within Markets Operations in the Commercial & Investment Bank , you will drive the strategy…

…technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Practical…

…A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in…

…ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal…

…strategies tailored to specific target verticals and/or named companies, working with Strategy and other functions to architect and execute a well‑oiled machine…