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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 Senior Machine Learning Engineer, you will design and build proprietary machine learning models to enhance user targeting and dynamic Ads content generation, leveraging advanced AI techniques. Collaborating with cross-functional teams, you will contribute to the productionization of models, maintain code quality, and mentor team members in a fast-paced environment.
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.
The Director of Data Engineering will lead and grow teams focused on data and software engineering, implement data strategies for the Enterprise Identity Platform, and modernize technology stacks while promoting collaboration across Agile teams. Responsibilities include overseeing AWS deployments, code reviews, and fostering innovation through best practices in data engineering and machine learning.
As a Lead Machine Learning Engineer at Capital One, you will design and implement machine learning applications, focusing on high availability and performance. You will collaborate with various teams, develop optimized ML models, automate tests, and ensure responsible AI practices. This includes maintaining and monitoring deployed models and utilizing cloud technologies for scalability.
The Machine Learning Engineer II role at Remitly involves developing machine learning models for fraud prevention in financial services. The engineer will build models for transaction risk assessment, collaborate with infrastructure teams to meet performance requirements, and work on implementing new features collaboratively with scoring engineers.
As a Machine Learning Engineer, you will develop ML solutions to enhance safety and efficiency in physical operations. You will work with cross-functional teams to build core infrastructure and services, design ML applications, and contribute to novel technology adoption.
As a Staff Software Engineer in Machine Learning Infrastructure at Thumbtack, you'll lead the technical vision for the company's ML platform. Responsibilities include defining architecture for scalable ML systems, establishing best practices, and mentoring engineering teams. You will work with cross-functional teams to align ML capabilities with business objectives.
Featured Jobs
As a Senior Machine Learning Engineer at TrueML, you will architect and develop machine learning infrastructure and pipelines, collaborate with data engineers and scientists, optimize data processing, and drive the implementation of scalable ML solutions that improve customer experience and operational efficiency.
As a Machine Learning Engineer at ZS, you will build and monitor ML pipelines, scale algorithms for large data sets, enhance ML platforms, implement MLOps, write production-ready code, and collaborate with teams to deliver AI solutions for clients.
As a Senior Machine Learning Engineer at Samsara, you'll develop ML solutions for physical operations, driving new initiatives and optimizing systems. Collaborate with engineering teams to create end-to-end ML applications while influencing industry practices and contributing to company culture.
As a Senior Software Engineer in Machine Learning, you will design and develop scalable recommendation systems, preprocess data for user profiles, deploy machine learning models, measure the effectiveness of recommendations, and ensure the reliability of the system, enhancing user experience across Crunchyroll's content offerings.
As a Senior Machine Learning Engineer, you will design scalable recommendation systems, preprocess data, train machine learning models, and enhance user engagement through personalized content recommendations. You will collaborate with cross-functional teams and implement feedback systems to improve model effectiveness.
As a Machine Learning Engineer II, you will develop and deploy machine learning solutions for inventory optimization, collaborating with data scientists and automating data processes. Your role involves creating scalable data analyses, managing ETL pipelines, and exploring innovative technologies to enhance our analytics capabilities.
As a Machine Learning Engineer II on the ML Fraud team at Affirm, you will develop models to predict fraud likelihood using proprietary and third-party data. You will collaborate across teams to improve fraud detection capabilities, implement data pipelines, and create innovative solutions for emerging fraud patterns, impacting financial performance significantly.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
As a Machine Learning Scientist, you will research and apply advanced machine learning methods, particularly in natural language processing and speech recognition. You will collaborate with various teams to deploy machine learning models into production and contribute to firm-wide initiatives, enhancing the bank's operations through innovative solutions.
The role involves productionizing machine learning applications, participating in technical design and development, solving complex problems with code, collaborating in an Agile team, and ensuring best practices in ML and AI governance. Responsibilities include model development, deployment, maintenance, and monitoring.
The Senior Manager of Machine Learning Engineering will lead a team dedicated to developing machine learning applications and systems at scale. Responsibilities include designing and implementing ML architectural designs, reviewing model and application code, and ensuring high availability and performance. The role requires collaboration with cross-functional teams, maintaining models in production, and adhering to best practices in machine learning engineering.
The Senior Machine Learning Engineer will develop and optimize ML models for ad serving, working closely with various stakeholders to enhance performance, yield optimization, and CTR predictions. Responsibilities include designing A/B testing frameworks, establishing end-to-end ML pipelines, and mentoring team members.
As a Senior Data Scientist in Consumer Identity ML, you will explore customer behavior patterns using billions of clickstream events, develop real-time models to enhance customer experiences, and ensure the accuracy of customer data while collaborating with engineering and product teams. You will also build scalable machine learning models and conduct experiments to improve business outcomes.
As a Senior Data Scientist at Capital One, you will analyze customer behavior patterns and develop real-time machine learning models to enhance customer experiences and prevent fraud. You will work across phases of the data science lifecycle and collaborate with various teams to improve business outcomes.
The Senior Data Scientist will explore customer behavior data, develop real-time machine learning models, and ensure the accuracy of crucial customer data to enhance digital experiences, fraud prevention, and overall customer satisfaction. This role involves collaborating with product and engineering teams across multiple projects.
As a Senior Data Scientist in Consumer Identity Machine Learning at Capital One, you will build and optimize machine learning models, analyze customer behavior data, and collaborate with product and business teams to enhance customer experiences and mitigate fraud across digital platforms.
As a Senior Data Scientist at Capital One, you will explore vast amounts of customer behavior data to model outcomes, develop real-time customer models, and ensure data accuracy while fighting fraud. You will work through the entire data science lifecycle and partner with engineering and business teams to enhance customer experiences.
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