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As a Principal Data Scientist, you'll analyze customer data to develop machine learning models that enhance customer experiences and improve fraud prevention. You'll work on all phases of model development, from design to operationalization, and partner with engineering and product teams to drive data-driven innovations.
The Principal Data Scientist in Consumer Identity ML utilizes data science and machine learning to enhance customer experiences at Capital One. Responsibilities include developing real-time models, exploring customer behavior patterns, improving operationalization of production systems, and partnering with product teams to innovate solutions across digital platforms while ensuring data accuracy and fraud prevention.
As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms for Disney's streaming platforms, collaborate with cross-functional teams, maintain existing algorithms, and improve personalization strategies to enhance user experiences.
As a Machine Learning Engineer II, you will develop and maintain recommendation algorithms for Disney's streaming services. Collaborating with product teams, you will optimize algorithms and manage expectations, ensuring the delivery of innovative personalized experiences for users. You will lead research and development efforts while maintaining production-ready systems and defining new personalization opportunities.
The Senior Software Engineer in Machine Learning is responsible for architecting and scaling personalization and search platforms for the Max streaming app. The role involves collaborating with data scientists, contributing to machine learning systems, optimizing code, and advocating for customer-focused innovation.
The Senior Machine Learning Engineer will build and scale personalization and search platforms for the Max streaming app, collaborating on machine learning systems, enhancing recommendation services, and improving operational excellence while contributing to a team that serves over 100 million users.
The Senior Staff Machine Learning Engineer will lead the design, research, and evaluation of ML models and systems at CNN. Responsibilities include working with NLP, recommendation systems, and Large Language Models, mentoring, collaborating on ML projects, and ensuring best practices in model training and deployment.
The Staff Machine Learning Engineer will architect, build, and scale a recommendation system for the Max streaming app, collaborating with ML/Ops engineers, data scientists, and other stakeholders to develop personalized user experiences and improve infrastructure. The role emphasizes mentorship and driving innovation in machine learning projects.
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The Senior Machine Learning Engineer will collaborate with product and marketing teams to personalize customer interactions on Cash App, building and deploying machine learning models within the personalization domain. They will manage projects related to recommendations, search retrieval, and cross-selling, aiming to improve user engagement and revenue.
The Senior Machine Learning Engineer will build and deploy machine learning models for personalizing customer interactions in Cash App, partnering with product and marketing teams to enhance growth and engagement. Responsibilities include working with various ML algorithms and data analysis techniques to improve customer experiences.
The Principal Data Scientist will analyze customer interactions to identify friction points, influence strategy with data-driven insights, develop machine learning models, and nurture a strong Data Science team by providing training and mentoring.
As a Machine Learning Engineer at Machina Labs, you will develop predictive models to enhance production systems in smart manufacturing. Responsibilities include data analysis, modeling, building pipelines for ML solutions, and collaborating with engineering teams to automate and optimize manufacturing processes.
As a Staff Machine Learning Engineer on the Risk team, you will develop machine learning solutions to mitigate risk and fraud while collaborating with various stakeholders to balance business loss and customer experience. You will leverage extensive transaction data to understand customer behavior and create innovative products.
As a Senior Machine Learning Engineer on the Risk team, you will develop analytical and machine learning solutions focusing on mitigating risk and fraud in Cash App's products. Collaborate cross-functionally and leverage data to improve customer experiences while balancing financial and regulatory risks.
As a Senior Machine Learning Engineer, you will build the Cashbot customer support chatbot and create modeling pipelines while collaborating with various teams to enhance ML models that improve customer assistance. Your focus will be on developing intelligent automation tools and refining ML systems using cutting-edge technologies.
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The Senior Machine Learning Engineer at Wasabi will advance AI technologies, develop computer vision algorithms, and implement NLP model fine-tuning. This role involves collaborating with teams for seamless machine learning integration, conducting testing, debugging, and ensuring reliable system operations.
The Staff Machine Learning Engineer will collaborate with product managers and engineers to design and productionize machine learning models, improve service performance, and maintain a high-quality codebase. Responsibilities include building machine learning solutions, conducting experiments, and sharing knowledge within the team.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, work with large datasets, and deploy ML models. You will enhance ML platforms, implement ML Ops, and ensure high-quality deliverables through best coding practices while collaborating with client and global teams.
As a Machine Learning Engineer at ZS, you will be responsible for building and monitoring model pipelines, enhancing ML engineering platforms, implementing ML Ops, and collaborating with teams to deliver AI solutions. You will also be involved in researching new architectures and technologies for ML applications.
As a Machine Learning Engineer at ZS, you will build, monitor, and scale model pipelines, implement ML Ops, and ensure the highest quality of deliverables. You will collaborate with teams to develop AI-enabled data products and solutions, while also researching and evaluating new technologies.
The Machine Learning Engineer at ZS will build and monitor model pipelines, scale machine learning algorithms, enhance ML engineering platforms, and implement ML Ops. Responsibilities include writing production-ready code, collaborating with teams, and researching new technologies.
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.
As a Research Scientist in NLP at Kensho, you will develop and deploy innovative AI solutions, focusing on areas such as long-context question-answering and alignment techniques. You'll collaborate with a team of experienced scientists to fuel innovation and publish research, while leveraging substantial computational resources for model development.
As a Senior Research Scientist at Kensho, you will work on cutting-edge Machine Learning and Natural Language Processing projects, such as long-context document QA, complex reasoning, and developing Large Language Models. You will contribute to creating evaluation benchmarks and improving alignment techniques while collaborating with academia and leveraging access to high-performance GPUs.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for large datasets, enhance ML engineering platforms, implement ML Ops, and deliver high-quality code. Collaborating with client teams, you will research architecture patterns and technologies, contributing to the development of AI-enabled data products and solutions.
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