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Top Hybrid Machine Learning Jobs
As a Senior Machine Learning Engineer, you will work on productionizing machine learning applications and systems at scale. You'll participate in the design and implementation of ML applications, collaborating with Product and Data Science teams, and focus on optimizing ML models, building data pipelines, and ensuring high performance and availability of solutions. You will leverage cloud technologies and follow best practices in responsible AI.
The Sr Machine Learning Engineer will develop and maintain algorithms for Hulu's recommendation system, using advanced machine learning methods. Responsibilities include feature engineering, optimizing data pipelines, and collaborating with product and data teams to enhance personalization and analysis processes.
The AI/ML Senior Associate will develop and deploy advanced AI and ML models to detect fraud patterns, collaborate with stakeholders to meet business needs, and ensure compliance with data governance policies. They will work within a team to implement innovative technology solutions addressing emerging fraud risks.
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The role involves developing and optimizing NLP algorithms, training large language models, collaborating with cross-functional teams, and contributing to machine learning research initiatives. The engineer will drive improvements in the data processing pipeline and mentor junior team members.
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.
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.
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 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 will develop algorithms for large datasets, apply statistical and data mining techniques to identify trends, evaluate new datasets, and contribute to the firm's thought leadership through research and publishing.
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