Top Data & Analytics Jobs in NYC, NY
Create machine learning models for ranking, recommendations, search, content understanding, or image generation. Evaluate technical tradeoffs, perform code reviews, and ensure code quality. Collaborate with internal and external partners to solve problems and build scalable products.
Create machine learning models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and ensure high code quality. Build lasting and scalable products iteratively without compromising quality.
Snap Inc is looking for a Staff Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Develop next-generation training framework for large-scale model training. Provide technical direction influencing the entire company. Advocate for best practices in availability, scalability, and operational excellence.
Snap Inc, a technology company, is seeking a Machine Learning Engineer with 3+ years of experience to create models driving value for users and the company, focusing on LLM models for text and multimodal challenges. Responsibilities include promoting proof of concepts, evaluating technical tradeoffs, performing code reviews, and building scalable products.
Lead a team of machine learning engineers and software engineers to develop and optimize solutions for Snap functionality. Educate and collaborate with internal teams, define solution architecture, drive rapid iteration, evaluate technical tradeoffs, and maintain technical excellence. Deep understanding of machine learning approaches and algorithms.
Build, optimize, and deploy machine learning models to support identity resolution and ads attribution. Collaborate with cross-functional teams to meet company objectives and stay up-to-date with the latest technology in machine learning.
Senior Business Intelligence Engineer at Snap Inc, responsible for collating and analyzing data to provide insights for decision-making, optimizing ad campaigns, building measurement strategies, and influencing revenue through data-driven recommendations. Must have 5+ years of experience in quantitative analysis, proficiency in SQL, python, and R, and a data-driven and analytical mindset.
Configure and maintain existing Workday modules, provide recommendations for process improvements, lead Workday implementation projects, translate business needs into technical requirements, troubleshoot and resolve production support issues, create advanced reports, and support Workday modules.
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