Top Remote Machine Learning Jobs in NYC
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop NLP and Gen AI models for customer support, collaborate with cross-functional teams, monitor and evaluate model performance, and prepare reports on model trends.
Act as a security domain expert in partnership with Compliance, Legal, and Engineering. Collaborate across roles and functions, prioritize security efforts, and automate governance and compliance functions using scripting languages like Python or data tools. Interpret and communicate security constraints to stakeholders and monitor changes in security regulations and standards.
Develop and implement machine learning models for fraud detection, analyze datasets for fraudulent activities, collaborate with teams to mitigate fraud risks, monitor model performance, stay updated on machine learning trends, and prepare reports for stakeholders.
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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.
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.
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Build CV models to extract structure from unstructured, information-dense 3D scans. Work with product and research teams to identify opportunities for improvement. Develop both generic models and fine-tune models for specific applications. Apply machine learning techniques throughout the engineering and product organization. Collaborate with product owners to deliver value to customers.
Lead and contribute to developing and implementing machine learning models and algorithms to drive innovation and improve products and services. Work on internet-scale backend systems, specializing in machine learning model development and deployment. Collaborate with cross-functional teams and stay updated with the latest advancements in ML and AI research.
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency of enterprise services at ServiceNow. Collaborate with a team to build intelligent software and drive innovation using advanced technologies. Play a key role in building and evolving the AI platform to create new work experiences.
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As an Applied Machine Learning engineer at Atlassian, you will work on developing cutting-edge machine learning algorithms, training models, and integrating AI functionalities into products. Responsibilities include designing system architectures, conducting model evaluations, and applying AI/ML to enhance Atlassian products.
Senior Machine Learning Engineer at Dropbox working on large scale AI/ML systems, collaborating with cross-functional teams, and impacting millions of users.
Seeking a Machine Learning Architect to enhance Machine Learning and Artificial Intelligence R&D strategy to personalize the Qualtrics experience. Responsibilities include designing AI architectures, selecting appropriate AI technologies, guiding machine learning direction, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
Develop and implement cutting-edge generative AI models and algorithms specifically tailored for healthcare applications. Contribute to improving patient care, optimizing clinical workflows, and advancing medical research.
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