Top Machine Learning Jobs
Join a leading fintech company that is democratizing finance for all. As a Machine Learning Engineer focusing on Fraud and Risk at Robinhood, you will collaborate with cross-functional teams to detect and reduce risks through the design and implementation of machine learning systems.
As a Machine Learning Engineer at FanDuel, you will leverage data to enhance customer experiences and drive business insights. You will collaborate with engineering and data teams to manage data and develop AI-powered insights, turning user interactions into actionable knowledge.
In this role, you will lead various data and analytics projects, collaborating with client leaders to address business challenges using data-driven strategies. Responsibilities include designing and executing analytics strategies, mentoring junior staff, and supporting the growth of the consulting practice.
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As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.
The Data Scientist role involves identifying data sources, ensuring data quality, and applying data strategy. Responsibilities include model assessment and validation, data visualization using various tools, and understanding business needs to provide actionable insights. The candidate will mentor junior colleagues and be involved in cross-domain business recommendations.
As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
In this role, you will provide scientific leadership in cheminformatics and machine learning, advancing Flare's drug discovery efforts. You will build capabilities for compound design, oversee research data integration, and help manage biochemistry data analysis, guiding projects towards clinical optimization.
As a Staff Machine Learning Engineer, you will enhance Lime’s demand forecasting and positioning algorithms, execute a multi-year ML strategy, and work collaboratively across teams. Your role includes coaching engineers and data scientists while tackling complex ML challenges.
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