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The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing personalization projects and collaborating closely with product and modeling leads. The role includes mentoring engineers, developing prototypes, managing communication with senior leadership, and driving AI strategies to enhance product features and improve customer experiences.
The Chief Scientist leads research and development in Edge and Spectral AI, focusing on creating innovative solutions in cognitive warfare and related areas. Responsibilities include technical leadership, business capture, mentoring, and collaboration with various stakeholders to drive research opportunities and product integration.
The Applied Scientist will enhance customer-service provider matching through machine learning and optimization, develop predictive models, analyze marketplace dynamics, and manage monetization mechanics to foster marketplace growth at Thumbtack.
The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.
As a Senior Product Associate in Machine Learning and AI, you'll drive product development by leveraging user research, analyzing metrics, and collaborating with diverse teams. You'll identify new product opportunities, manage the product lifecycle, and enhance customer experiences with innovative solutions. Your role involves refining strategies to improve self-service and reducing customer contact volume.
As a Lead Machine Learning Engineer, you will innovate and implement AI and machine learning to enhance advertising processes, focusing on inventory forecasting, pricing, targeting, and ad delivery. You'll lead the architecture design of ad algorithms, develop scalable data analysis approaches, and mentor team members.
The Sr Manager, Machine Learning Platform leads the Model Engineering team to build and deploy ML models in a production environment, focusing on infrastructure excellence, technical direction, stakeholder collaboration, and team mentorship in an Agile setting.
The AI Data Engineer will lead the development of datasets for AI training and testing, collaborating with engineering and product teams to define data specifications, optimize processes, and automate the data lifecycle. Responsibilities include managing data annotation quality, gathering various types of data, and improving efficiency in data handling.
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The Senior Applied Scientist will develop innovative advertising solutions using machine learning to enhance shopping experiences and improve product discovery at Chewy. Responsibilities include model development, collaboration with product and engineering teams, publishing research, and mentoring junior scientists.
As an Applied Scientist in the Sponsored Ads team, you will develop and implement machine learning models to enhance product discovery and selection for Chewy’s ad offerings. Your role involves collaborating with product and engineering teams to improve relevance and auction dynamics, conducting research, and mentoring other scientists to ensure best practices.
As the Director of Strategy Analytics & Operational Execution, you will lead initiatives to enhance customer journey by collaborating with cross-functional teams, providing insights through data analysis, overseeing reporting functions, and driving operational improvements that impact customer loyalty and business success.
The Machine Learning Engineer II, Economist will design and build machine learning solutions, work in cross-functional teams, and develop impactful solutions to support Instacart's growth. They will collaborate with engineers and product managers to understand problems, recommend solutions, and test them effectively.
The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.
The Staff Machine Learning Engineer will lead the Conversational AI team at Square, focusing on designing and optimizing machine learning solutions across products. Responsibilities include driving ML projects from inception to production, collaborating with various stakeholders, and providing mentorship to team members.
The Senior Machine Learning Engineer will design and implement machine learning systems to combat fraud in Cash App's banking products. This role involves developing ML pipelines, collaborating with teams to enhance machine learning practices, and advancing the platform to support robust, scalable solutions for end-users.
As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.
The Senior Staff AI Software Engineer will develop AI applications for Gusto that enhance operational efficiency for small businesses. Responsibilities include building applications, collaborating with Gusto's co-founder on code deployment, and mentoring junior engineers.
This role involves leading the development of operational solutions for Large Language Models (LLMs) and collaborating with a team to build AI-powered experiences for enterprise customers. Responsibilities include software design, implementation, maintaining data processing pipelines, and ensuring effective communication with stakeholders about AI technologies.
The Data Architect will lead the design and implementation of data products, collaborating with various product teams. Responsibilities include data modeling, ensuring adherence to data architecture guidelines, creating data quality standards, and managing a team of engineers. The position involves consulting on systems architecture and collaborating with Data Science teams.
The Senior Manager of Ontology and Data Governance leads the development and implementation of enterprise ontologies and collaborates on data strategy. This role involves sourcing data standardization efforts, managing a long-term roadmap, tracking KPIs, mentoring associates, and ensuring adherence to semantic standards. The position requires strong communication and leadership to influence cross-functional teams and advocate for the use of semantic technology.
The Sr Director of Data Science will manage a team of data scientists, translating business challenges into actionable data science projects, ensuring timely delivery and high quality. Responsibilities include team leadership, collaboration with stakeholders, and maintaining knowledge of industry trends and technologies. The role also involves budgeting and forecasting.
As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.
As a Senior Data Scientist at Kargo, you will develop and implement NLP models, work with content system data, oversee audience targeting models, ensure the scalability of bidding systems, and collaborate with cross-functional teams to align data science projects with business objectives.
As the AI/ML Risk Guide for the Enterprise AI/ML Program, you'll manage various risk-related deliverables, work across teams, develop risk mitigation plans, and maintain senior-level communications to enhance operational safety and compliance for Capital One.
As a Manager in Cyber Risk & Analysis, you will oversee risk management for emerging technologies and collaborate across teams to enhance customer experience. Responsibilities include developing risk strategies, managing deliverables, and improving risk management approaches within a dynamic environment.
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