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Top Machine Learning Jobs
As a Machine Learning Engineering Manager, you will lead a team to implement MLOps practices, manage machine learning projects, mentor engineers, and oversee the development of ML pipelines. Collaboration with Data Science and Data Architecture teams is crucial to drive innovation and ensure best practices in machine learning.
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team, guiding engineers in the development of machine learning solutions that enhance customer experiences on Cash App. Responsibilities include strategic collaboration, mentoring team members, and incorporating AI into product features.
As a Lead Machine Learning Engineer, you will manage a team to design and implement a modern MLOps stack, drive innovation in machine learning platforms, and oversee the development of machine learning pipelines while collaborating with data science teams.
The Principal Machine Learning Engineer will help build and deploy the knowledge graph, process large graph data, develop APIs, and utilize generative AI and ML for intelligent applications. Responsibilities include mentoring team members, collaborating with product teams, and effectively communicating with stakeholders.
The Senior Staff AI Software Engineer will develop AI applications for Gusto that enhance operational efficiency for small businesses. Responsibilities include building applications, collaborating with Gusto's co-founder on code deployment, and mentoring junior engineers.
The Senior ML Engineer will work on the Teamwork Graph team, focusing on building and deploying a knowledge graph that represents team dynamics. Responsibilities include processing graph data, building APIs, mentoring team members, and collaborating with product teams to enhance AI-driven applications.
The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.
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.
Featured Jobs
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 the AI/ML Risk Guide at Capital One, you will drive the risk management strategy for emerging technologies, particularly in AI/ML, collaborating across teams to enhance stability and success. You'll engage in identifying risks, developing mitigation plans, and reporting to senior management, while managing multiple deliverables in a fast-paced environment.
The Manager, Cyber Risk & Analysis will support the Enterprise AI/ML Program by managing risk solutions, collaborating with product and tech teams, and developing risk management reporting. Responsible for ensuring compliance and mitigating risks in emerging technologies while communicating effectively with senior leadership.
The Principal Machine Learning Engineer will build scalable ML systems for the Virtual Economy team at Roblox, focusing on ranking and purchasing transactions. Responsibilities include system design, mentorship, and team leadership, while collaborating with product and data science teams.
As a Principal/Senior Machine Learning Engineer at Roblox, you will design and implement machine learning solutions for user understanding and content/query understanding within the Search and Discovery team, focusing on large scale recommendation systems and LLMs to enhance user experience and engagement.
As a Senior/Principal Machine Learning Engineer at Roblox, you will create innovative machine learning solutions for search and recommendation systems within the Marketplace. Responsibilities include building end-to-end ML systems, collaborating with teams, delivering complex projects, and mentoring junior engineers, ensuring scalable and reliable systems.
As a Senior Technical Director on Discovery at Roblox, you'll lead machine learning initiatives for search and recommendation systems, own technical direction, drive content distribution, and collaborate with teams. Your role involves delivering scalable ML solutions while fostering an engineering culture of excellence, adapting technologies, and simplifying complex problems.
As a Technical Director on Discovery at Roblox, you will oversee the technical vision and execution for machine learning initiatives related to search and recommendations. Responsibilities include guiding engineers, authoring feature specs, researching new technologies, and collaborating across teams to enhance user engagement and retention.
The role involves building large-scale machine learning systems for user connections on the Roblox platform, focusing on social features and user retention. Responsibilities include applying machine learning to the social graph, mentoring junior engineers, and defining long-term ML strategies.
As a Senior Machine Learning Engineer, you will build innovative ML solutions for search and recommendation systems, leading projects from planning through execution while mentoring junior engineers. You'll tackle diverse technical challenges to improve the Marketplace's content discovery and personalization experiences for users.
As a Machine Learning Scientist in the Machine Learning Center of Excellence, you will research and develop high-performance machine learning models, collaborate across the firm to deliver impactful solutions, and design scalable data processing pipelines. This role requires expertise in NLP, speech analytics, and deep learning, with a focus on applying machine learning to drive business results.
As a Sr. Machine Learning Engineer, you will lead the development and implementation of models and algorithms, oversee complex data analysis, and manage ML Ops to create innovative solutions for customer products. You will work in a cross-functional environment, ensuring transparency and effective communication with senior management.
As a Machine Learning Engineer, you will conduct data analysis, develop algorithms and models, manage machine learning operations, and enhance user products by addressing complex machine learning challenges in an agile environment. You'll communicate findings to management and influence team standards.
The Senior Product Delivery Associate will lead the development of a Knowledge Management platform using AI and ML technologies, define the product roadmap, oversee data and project coordination, and collaborate with cross-functional teams to drive innovation and ensure compliance with regulations.
As a Senior Associate Machine Learning Scientist focused on NLP, you will develop state-of-the-art models, collaborate with business and technical teams to deploy solutions, and drive firm-wide machine learning initiatives. The role requires solid expertise in machine learning, deep learning, and NLP, with an emphasis on research and practical implementation.
As a Machine Learning Scientist, you will develop advanced ML models for tasks including NLP, speech analytics, and recommendation systems. You'll work collaboratively with various teams to deploy solutions and drive enterprise-wide initiatives while conducting research and applying innovations in machine learning.
As a Machine Learning Engineer III at Chewy, you will lead the development of advertising solutions by deploying machine learning and data science to enhance product search, ranking, and prediction models. You will collaborate with product and engineering leaders, mentor junior scientists, and communicate findings to senior leadership, all while building a new Sponsored Advertising business from the ground up.
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