Top Machine Learning Jobs in NYC
Lead strategic planning and execution for scalable machine learning infrastructure and products at JP Morgan Asset Management. Collaborate with data science and business teams to deliver end-to-end machine learning applications and data pipelines. Manage and support a global team of ML and MLOps engineers. Operate in a multi-cloud environment with a focus on AWS and Azure technologies.
Apply sophisticated machine learning methods to tasks such as NLP, speech analytics, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for the application of machine learning models.
Develop scalable tools using machine learning and deep learning models for finance applications at JPMorgan Chase. Lead project development by collaborating with various business lines to deploy production-level machine learning applications. Required qualifications include a PhD in a quantitative discipline, minimum 3 years of experience, and strong knowledge of machine learning theory and techniques.
Lead a team of applied scientists to drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders at Capital One. Partner with cross-functional teams to deliver AI-powered products, build AI foundation models, engage in high-impact applied research, and translate technical work into tangible business goals.
The Senior Applied AI Scientist will be responsible for building, evaluating, and shipping products that use AI models. They will develop Gusto Assistant, improve LLMs, collaborate with AI/ML infrastructure teams, and research novel AI techniques.
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GoodRx is looking for an experienced Senior Machine Learning Engineer to enable and accelerate our machine learning efforts. The ideal candidate should possess practical, hands-on data and analytics technical expertise and strong understanding of various machine learning models. Responsibilities include developing and implementing analytical capabilities, building machine learning models and pipelines, improving infrastructure, and mentoring junior engineers.
Join our AI team to incorporate ML technologies into our product and explore the boundaries of what's possible. Prototype and experiment with AI model quality improvements and collaborate with cross-functional teams to deliver product features.
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Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train large language models, preprocess data, drive entity resolution solutions, collaborate with teams, and contribute to research initiatives. Must have 5 years of ML experience with NLP focus, proficiency in Python and relevant ML libraries, and a Bachelor's degree in computer science or related field.
Design and develop scalable and high-quality AI/ML models and infrastructure for Celonis products. Collaborate with cross-functional teams to meet the business needs of customers and drive innovation in execution management systems.
As a software engineer (machine learning), you are responsible for designing and developing product features and customer solutions, along with the underlying infrastructure, that are based on AI/ML approaches.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with cross-functional teams, monitor model performance, and stay up-to-date with the latest machine learning and fraud detection techniques.
Lead and shape the Machine Learning Operations function at Kargo, responsible for managing a team in developing and implementing ML Ops strategies, overseeing deployment and maintenance of ML models, and collaborating with cross-functional teams for seamless integration of ML solutions.
Seeking an experienced AI/ML generalist to optimize our ad serving platform and consumer facing search products. Responsibilities include managing AI/ML projects, evaluating model performance, implementing procedures and tools, translating research papers into production-ready code, and mentoring junior team members.
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