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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 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 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 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.
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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 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 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.
As a Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, collaborating across business and engineering teams to build scalable recommendation systems. Your work will involve designing system architectures, conducting model experiments, and applying AI/ML to enhance business intelligence and growth.
As a Staff Machine Learning Engineer at Cash App, you will build and integrate machine learning solutions to evaluate customer cash flow risk, support multiple products, optimize decisioning pipelines using AI/ML, and partner with cross-functional teams to leverage comprehensive customer data.
As an Applied AI Modeling Lead, you will develop advanced products utilizing NLP and machine learning, analyze large-scale data to solve complex business problems, and act as a trusted advisor. You'll contribute to the product lifecycle, mentor junior team members, and collaborate with diverse teams to deliver impactful solutions.
As an Applied AI ML Senior Associate, you'll design and develop machine learning models for the card business, focusing on enhancing customer lifecycle. Collaborate with a team to implement innovative modeling solutions and drive decision-making processes while ensuring model explainability and fairness.
The Senior Machine Learning Engineer will design and implement ML pipelines to enhance identity verification, reduce inauthentic identities, and provide risk-based customer experiences. The role emphasizes mentorship, collaboration across teams, and the development of a robust ML platform for Cash App's extensive user base.
The Machine Learning Ops Developer IV is responsible for developing and maintaining high-performance machine learning batch processing systems. This includes troubleshooting, scheduling on AWS EC2, and enhancing existing systems while documenting flows and algorithms. The role requires collaboration with various teams and mentoring junior developers.
As a Distinguished Machine Learning Engineer at Capital One, you will provide technical leadership, design machine learning applications, mentor engineers, and drive large-scale ML initiatives. You will collaborate with cross-functional teams, optimize data pipelines, and leverage cloud-based technologies to deliver high-performing ML solutions in the financial services industry.
As a Distinguished Machine Learning Engineer at Capital One, you'll lead the productionization of machine learning applications, guiding architectural decisions, developing models, and optimizing data pipelines. You will collaborate across teams to deliver ML solutions while mentoring engineers and applying innovative technologies in financial services.
As a Distinguished Machine Learning Engineer at Capital One, you will lead the development and implementation of machine learning applications, collaborating with various teams to solve business problems in the financial services sector. You'll guide architectural design, optimize data pipelines, and mentor engineers while applying the latest innovations in machine learning.
The Distinguished Machine Learning Engineer will lead AI/ML initiatives focused on developing production-scale machine learning applications. Responsibilities include collaborating with cross-functional teams, mentoring engineers, and implementing innovative solutions driven by a deep understanding of AI and machine learning technologies, ensuring optimal performance and high availability of applications.
As a Machine Learning Researcher at Citadel Securities, you will apply advanced machine learning and AI techniques to analyze datasets, back-test models, and document your findings. Your work will contribute to developing innovative trading strategies in a fast-paced environment.
As a Senior Data Scientist in Emerging ML at Capital One, you'll conduct research and develop machine learning models across the data science lifecycle. You will build and operationalize models utilizing large datasets, collaborate with various teams to improve customer experiences, and communicate findings effectively to stakeholders.
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