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The Senior Computer Vision Scientist will develop predictive models using 3D data, utilizing machine learning and statistical modeling techniques. They will clean and prepare data for analysis, leverage cloud resources for data processing, and extract data from databases, while continuously iterating on solutions in a collaborative environment.
As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.
The Statistician/Data Scientist role involves technical contributions in causal inference, statistics, and machine learning, driving analytics solutions to support business decisions at Lilly. Responsibilities include building ML pipelines, testing frameworks, and translating analytics insights to stakeholders.
The AI Data Leader will develop and implement an AI and data strategy, oversee innovation in AI technologies, collaborate with teams to implement solutions, build a high-performing team, drive data management and governance, supervise AI development, and ensure compliance with regulations.
The role involves developing AI/ML applications for information extraction, including tasks like computer vision and pattern recognition. The Data Scientist will engage in innovative solutions for government projects while collaborating with experts across various disciplines.
Develop AI/ML applications for information extraction, engage in data fusion, pattern recognition, and anomaly detection, and support high-impact projects for national missions.
The Sr. Data Scientist at DataRobot will act as a trusted advisor on AI for US Federal Government entities. Responsibilities include leading technical engagements, demonstrating the DataRobot product, and collaborating with customers to implement AI solutions that drive business value. The role requires expertise in machine learning and strong customer-facing skills.
As a Senior Machine Learning Engineer, you will work on productionizing machine learning applications and systems at scale. You'll participate in the design and implementation of ML applications, collaborating with Product and Data Science teams, and focus on optimizing ML models, building data pipelines, and ensuring high performance and availability of solutions. You will leverage cloud technologies and follow best practices in responsible AI.
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The Research Associate will analyze large datasets of loan data to improve investment management and revenue growth. Responsibilities include creating term sheets, analyzing lending partners, researching portfolio performance, and developing templates for data processing.
You'll leverage your AI and machine learning expertise to solve real-world problems, developing and implementing new models and techniques, particularly for large language models. You'll design and scale these models, collaborate with cross-functional teams, and oversee the end-to-end delivery of impactful software solutions.
The Senior Research Scientist will develop and apply advanced machine learning and deep learning models to enhance user personalization and classification in Yahoo Mail's platform. Responsibilities include conducting research, optimizing models for large-scale datasets, collaborating with teams, and contributing to innovative consumer applications.
The People Operations Analyst will manage employee lifecycle transactions, support onboarding processes, conduct HR data analysis, and optimize HR systems. They will also identify inefficiencies in HR processes and suggest improvements while maintaining employee records and providing insights to leadership.
As a People Data Analyst, you will analyze HR data to improve people processes and programs. This involves generating reports, identifying trends, collaborating with teams to drive data-driven decisions, and ensuring compliance with data regulations while optimizing HR tools.
The VP of Data and Insights will lead the transformation of the Philadelphia Inquirer into a data-informed organization by overseeing data teams, developing data strategies, and enhancing operational capabilities through data insights.
The Senior Data Science Manager will lead a team to enhance Reddit's advertising platform by driving data science projects, analyzing trends, and creating data-driven strategies. This role involves collaboration with product, engineering, and marketing teams to improve user and advertiser experiences, while fostering a culture of innovation and technical excellence.
The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.
Design and develop scalable and high-quality AI/ML features and solutions based on business needs. Collaborate with cross-functional teams to implement advanced AI technologies. Build infrastructure for AI/ML models and data collection mechanisms to meet customer demands. Ensure accuracy and freshness of enterprise operational data for thousands of customers.
The AI/ML Senior Associate will develop AI/ML capabilities to enhance fraud detection, collaborate with stakeholders, implement solutions in conjunction with technology partners, and adhere to governance protocols while working in a collaborative team environment.
The Vice President, Applied AI/ML Lead will build and train production-grade ML models to solve banking use cases, leveraging large-scale data processing frameworks and techniques in machine learning. This role entails developing end-to-end ML pipelines and collaborating on data modeling experiments to extract insights.
The Senior Lead Cybersecurity Architect will develop and update AI technology control requirements, engineer AI security controls, guide evaluations of cybersecurity principals, and influence technology decision-making. This role involves collaboration with stakeholders and providing technical guidance to ensure the security of AI solutions.
The Applied AI ML Senior Associate will develop advanced natural language processing models and analytics to tackle complex business challenges, acting as a trusted advisor and contributing to the full product lifecycle. The role involves generating actionable insights from data analysis to improve operational effectiveness.
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The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
As a Senior Machine Learning Engineer at Capital One, you'll develop and implement machine learning applications, collaborating with teams to produce models and optimize performance. Responsibilities include model design, coding, infrastructure decisions, and maintaining production models. You'll also build cloud-based architectures and ensure best practices in model governance.
As a Distinguished Machine Learning Engineer, you will lead the design and implementation of machine learning applications and systems, mentor other engineers, and drive ML initiatives in the financial services sector. You will collaborate with interdisciplinary teams to solve complex business challenges, optimize data pipelines, and ensure the performance of ML models at scale.
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