Top Hybrid Machine Learning Jobs in New York City, NY
As a Machine Learning Strategist for the Time Series & Reinforcement Learning team at JPMorgan Chase, you will play a strategic role in developing AI/ML products and business across the firm. Responsibilities include integrating, supporting product & business development functions, familiarizing partners with AI capabilities, and driving strategy and growth for AI projects.
Seeking an Applied AI ML Director with expertise in Machine Learning techniques and optimizations to collaborate on innovative projects, drive ML workflows, and enhance AI technologies at a financial institution.
As a Machine Learning Scientist specializing in NLP at JPMorgan Chase, you will research and apply advanced machine learning methods to tackle real-world challenges. Collaborate with cross-functional teams to deploy solutions and drive firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or an MS with 3+ years of relevant experience, expertise in NLP, deep learning, and machine learning toolkits, as well as strong communication skills.
As a Senior Machine Learning Engineer at Movable Ink, you will be responsible for advancing the core machine learning solution and infrastructure. You will work on data analysis, building scalable models, deploying them to production, and collaborating with different engineering teams to improve the ML platform. This role offers the opportunity to make a significant impact on how businesses interact with customers.
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.
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Develop advanced algorithms and execute statistical techniques on large data sets. Evaluate emerging datasets and technologies, contribute to thought leadership, and have strong analytical and quantitative skills.
Looking for a passionate Machine Learning Engineer to build and scale personalization systems for global streaming apps. Must have 8+ years of industry experience and practical knowledge of recommender systems. Responsibilities include architecting and scaling recommendation systems, collaborating with teams, and driving ML projects from conception to completion.
Join Alloy as a Senior Machine Learning Engineer on the Predict team to build machine learning systems for fraud detection and risk management. Architect scalable systems, deploy ML models, collaborate with cross-functional teams, and stay updated on industry developments. Hybrid work environment with onsite presence twice a week. Must have at least 5 years of experience in software/data engineering and 2+ years in leveraging machine learning for external-facing products.
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.
Seeking a Data Scientist III, ML Engineering with expertise in building machine learning solutions to optimize the performance of healthcare products. Responsibilities include deep data analysis, designing ML-powered features, and continuous model performance monitoring for improvement opportunities.
Machine Learning Engineers work on deploying end-to-end solutions leveraging AI and ML principles to solve business problems. Responsibilities include gathering data, developing plans, analyzing predictive features, managing projects, sharing insights, and profiling users for marketing strategies.
Senior Software Engineer role focusing on ML infrastructure and operations for AI/ML teams in the fitness domain. Responsibilities include building and scaling machine learning system infrastructure, implementing scalable solutions, and collaborating with engineers for model development and monitoring.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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