Top Senior Level Data Engineer Jobs in NYC

Lead the optimization and operation of Large Language Models (LLM) aided AI products, collaborate with cross-functional teams to develop scalable LLM-based products and reusable back-end APIs, ensure APIs are scalable and performance-efficient, and foster a culture of collaboration and efficiency.

GoodRx is looking for a Principal Data Engineer to lead the development of enhanced data pipeline services, collaborate with cross-functional teams, provide technical leadership, and architect cloud-based data infrastructure solutions.

Lead the Global Procurement Data & Analytics organization, define data strategies, drive efficiencies through AI, manage D&A activities for Digital Transformation, support continuous improvement projects, and drive automation using AI.

Individual contributor position as a Data Scientist at Capital One's Emerging ML team. Responsibilities include building machine learning models, partnering with business teams, and writing software to analyze data. Ideal candidate is curious, technical, and statistically-minded.

Snap Inc is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. The ideal candidate should have a strong understanding of machine learning approaches and algorithms, prioritize duties, and collaborate effectively.

The Media Data Strategy, Tagging, & Enablement Director at Pfizer is responsible for defining and delivering data to fuel critical analysis and key performance indicators for media investments, as well as curating and disseminating data availability across teams. They will design media data for maximization of MROI effectiveness and must have expertise in Martech tools and data sources.

As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. Your responsibilities will include providing technical leadership, collaborating with cross-functional teams, writing high-quality code, analyzing complex technical problems, and driving innovation and improvements. The role requires a Bachelor's degree in Computer Science or a related field, 10+ years of experience in software engineering with 5+ years of experience in Machine Learning, strong proficiency in Pytorch, Tensorflow, and NLP, and excellent problem-solving and communication skills.