Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performanceUse Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job doneQualificationsYou Have: 5+ years of Machine Learning modeling experience.

Our machine learning systems monitor and surface suspicious activity (money laundering, illegal activity and terms of service violations) for agent review. Work with the embedded Machine Learning Engineers on the team and ML platform services to deploy models to the production environment and monitor ongoing performance.

We are leveraging Generative AI (specifically Large Language Models) and Machine Learning as an integral part of our toolkit to fulfill our mission. Job Description The Financial Crimes Technology team at Cash App detects and reports illegal and suspicious activity on Cash App. We work globally with partners in Product, Counsel and Engineering to ensure that we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.

We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles. We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will also have opportunities to work across the entire machine learning lifecycle.

Adobe Firefly Applied Science & Machine Learning (ASML) group is looking for a Firefly model architect interested in working on generative AI models for image, video and multimodal to help us build the next generation of foundation models that power Adobe creative tools.

Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Experience with cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, and familiarity with cloud services for machine learning (e.g., SageMaker, AI Platform, Azure ML.

Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.

We are on the lookout for a dynamic Machine Learning Engineer for one of our clients with a passion for innovation and a flair for integrating cutting-edge AI solutions into robust, scalable systems.

Clients in this practice group represent a diverse range of industries, including artificial intelligence and machine learning, autonomous vehicles, aviation, big data, cleantech and climate solutions, data storage, digital health and wellness, digital media and entertainment, electronic gaming, fintech, life sciences, robotics, semiconductors, software, and SaaS, and web3, among other emerging and disruptive technologies.

Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.

Ideally hiring in one of our Hub locations listed below but open to other locations:Los Angeles/Orange County, San Diego, San Francisco Bay AreaDenverNew YorkChicagoNew YorkPortlandAustin, Dallas, HoustonSeattleAbout the RoleMixpanel’s global demand generation team is responsible for our global campaigns strategy, pipeline generation across marketing channels, and collaborating with key partners in product marketing, field marketing, brand design, revenue operations, and partnerships.

With close mentorship from the Director, Merchant Marketing and in collaboration with the Marketplace Strategy & Ops and product management teams, you will surface audience insights that inform the roadmap and leverage those to build scaled go-to-market campaigns that encourage adoption of core surfaces, such as the Merchant Portal and Business Manager app.

The successful candidate will play a crucial role in building and leading this team, implementing robust testing and monitoring processes, and collaborating across Cash Business, Product, Machine Learning, Compliance, and Counsel teams to enhance Cash App's risk management capabilities.

At Domino, everything is a work in progress – we can do better at everythingWe emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company #LI-RemoteThe annual US base salary range for this role is listed below.