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Top Hybrid Machine Learning Jobs
As an Applied AI/ML Data Scientist, you will innovate investment banking through AI and data analytics, develop machine learning systems, analyze complex datasets, and present insights to stakeholders. You'll collaborate with a diverse team to push the boundaries of financial technology.
The Senior Machine Learning Engineer at Capital One will design and implement machine learning models and systems, collaborate with cross-functional teams, optimize ML applications, and ensure high performance and availability of deployment. Responsibilities include data pipeline construction, ML model monitoring, and leveraging cloud technologies.
The Senior Machine Learning Engineer at Capital One will design, develop, and implement machine learning applications in an Agile environment. Responsibilities include collaborating with product and data teams, constructing optimized pipelines, and deploying models to ensure high performance and availability. The role also involves maintaining and monitoring models in production and upholding best practices in ML development.
As a Principal Data Scientist in Consumer Identity Machine Learning, you'll explore customer behavior patterns, develop real-time machine learning models, and ensure data accuracy to enhance customer experiences. You'll lead all phases of model development in collaboration with engineering and business teams, focusing on data-driven insights over vast datasets.
In this role, you will build and evolve an AI platform by developing next-generation Large Language Models for enterprise applications. Responsibilities include applying ML methods to real-world problems, conducting LLM benchmarking, data collection, collaborating with cross-functional teams, and contributing to innovative developments and research publications.
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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.
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.
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.
As a Data Analytics Senior Consultant at CNA, you will lead data analytics initiatives to optimize underwriting strategies. Responsibilities include developing automated scorecards, conducting scenario analyses, providing insights for decision-making, and collaborating with senior leadership and cross-functional teams to drive business outcomes.
As a Data Analytics Senior Consultant at CNA, you will lead projects to create automated scorecards and scenario analysis tools, provide business insights based on data analysis, collaborate with underwriting leadership, and develop analytics solutions that enhance business strategies across commercial insurance products.
As a Data Analytics Senior Consultant, you will lead projects to create automated scorecards and scenario analysis tools for underwriting strategies in a commercial insurance context. The role requires strong analytical and technical skills to derive insights from data analytics solutions that support decision-making across the organization, collaborating closely with senior leadership and other teams.
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 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.
As an Applied AI Scientist, you'll develop advanced algorithms for large datasets, execute statistical analysis and machine learning techniques, evaluate new data technologies, and contribute to the firm's thought leadership.
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.
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