Top Machine Learning Jobs in NYC, NY
The role involves researching trustworthy computer vision and machine learning, providing innovative solutions to internal teams, collaborating on scientific papers, and contributing to intellectual property protection. Candidates will support their professional development through project work and mentorship during the internship.
As the Senior Director of Technical Program Management in the Enterprise Data and Machine Learning division, you will lead strategic initiatives in data management and technology innovation. Your responsibilities include overseeing complex projects, aligning teams, driving execution, and shaping the future of data management. You will foster a high-performing TPM discipline to enhance operational efficiencies across the organization.
As the Applied AI ML Director, you will lead the development of machine learning components, providing expertise in ML techniques, algorithms, and optimization. You will enhance ML workflows and collaborate with teams on innovative projects involving deep learning, NLP, and advanced methodologies.
As a Principal Data Scientist in the Emerging ML team at Capital One, you'll develop cutting-edge machine learning models leveraging large data sets. You'll partner with various teams to execute experiments that enhance customer experiences and outcomes, while also refining integration patterns for advanced models.
As a Senior Machine Learning Engineer, you'll design, build, and deploy machine learning applications in an Agile environment, focusing on ML architectural design, infrastructure decisions, and scaling models using cloud technologies. Responsibilities include coding, testing, optimizing data pipelines, and ensuring best practices in model governance while collaborating with cross-functional teams.
Machine Learning Scientist - NLP - Sr. Associate position requiring a strong background in Natural Language Processing (NLP), deep learning, and machine learning methods. Responsibilities include researching new ML methods, developing state-of-the-art models, collaborating with partner teams, and driving firm-wide initiatives. Required qualifications include a PhD in a quantitative discipline or MS with 3 years of relevant experience, expertise in NLP and speech recognition, proficiency in TensorFlow and PyTorch, and strong communication skills.
Join JPMorgan Chase as a Machine Learning Expert specializing in Time Series and Reinforcement Learning. Develop scalable tools for real-world problems related to finance, economics, and operations. Lead projects from conception to deployment of machine learning applications. PhD in a quantitative discipline and experience in machine learning project development are required.
Vice President role in the Machine Learning Scientist - NLP team. Responsible for applying advanced ML techniques to NLP, speech analytics, time series, reinforcement learning, and recommendation systems. Collaborate with various teams to deploy solutions into production and drive initiatives by developing large-scale frameworks for ML models.
Featured Jobs
As a Senior Associate Machine Learning Scientist specializing in NLP, you will utilize advanced machine learning methods to tackle complex tasks like natural language processing and recommendation systems. Responsibilities include researching new techniques, developing machine learning models, collaborating with partner teams, and implementing solutions in production environments.
Apply sophisticated machine learning methods to tasks like natural language processing, speech analytics, and recommendation systems. Collaborate with multiple partner teams to deploy solutions into production and drive firm-wide initiatives by developing large-scale frameworks for machine learning models.
As a Senior Machine Learning Engineer, you'll join an Agile team to design, build, and implement machine learning applications at scale. Responsibilities include model development, optimizing ML models, collaborating with cross-functional teams, and maintaining production models, all while adhering to best practices in ML engineering.
As a Senior Manager in Machine Learning Engineering, you'll lead an Agile team focused on productionizing and optimizing ML applications at scale. Responsibilities include designing, building, and validating ML models, collaborating with cross-functional teams, implementing cloud-based architectures, and ensuring responsible AI practices. You'll also oversee the management of ML systems and lead teams towards developing scalable and efficient solutions in a fast-paced environment.
As a Machine Learning Engineer at ZS, you'll build and monitor model pipelines, scale ML algorithms, and enhance ML engineering platforms. Responsibilities include implementing ML Ops, ensuring code quality, collaborating with teams, and researching new technologies.
As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms and personalization techniques for Disney's streaming services. This role involves collaboration with cross-functional teams to achieve strategic product goals, management of algorithmic work, and maintenance of production-level systems.
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As a Senior Machine Learning Engineer at Canoe Intelligence, you will develop NLP algorithms, train large language models, and work on data preprocessing with cross-functional teams. Your role involves driving innovation in data processing pipelines and mentoring junior engineers.
As a Senior Machine Learning Engineer, you will build and scale personalization and search platforms for the Max streaming app, collaborating with data science engineers and optimizing machine learning systems. You will contribute to a recommendation system, improve quality and performance, author production-level code, and support troubleshooting efforts.
The Senior Machine Learning Engineer will build and scale personalization and search platforms for the streaming app Max, collaborating with engineers and researchers to enhance recommendation systems. Responsibilities include architecting machine learning systems, improving platform performance, and contributing to code reviews and technical documentation.
Lead the design, research, modeling, and evaluation of Machine Learning models and systems at CNN. Collaborate with ML Platform engineers and leaders to improve model training and deployment. Mentor engineers, collaborate with data scientists, product teams, and drive ML projects from problem to completion. Support Engineering and Product leaders in strategic planning and innovation. Advocate for customer-centric solutions and experimentation.
As a Staff Machine Learning Ops Engineer at Grubhub, you will architect and implement scalable MLOps pipelines, manage monorepos, enhance system observability, and collaborate with data scientists to improve engineering standards. Your role will involve overseeing platforms, ensuring data lineage, and refining deployment strategies for machine learning models.
The Director of Machine Learning Operations will lead the ML Ops team, developing and implementing ML strategies, overseeing the deployment and maintenance of models, and ensuring their integration into advertising technology. This role requires strong leadership and hands-on experience in machine learning and collaboration with cross-functional teams.
As a Senior Software Engineer focused on Machine Learning at Celonis, you will design and develop AI/ML features and solutions, implement robust data infrastructures, and ensure data accuracy for enterprise operational data. Collaborating with various teams, you'll address customer needs and enhance product capabilities.
The role involves building computer vision models to analyze 3D scans, researching advanced methods for generative AI and computer vision, and collaborating with teams to enhance product offerings at Dandy. Responsibilities include managing massive datasets, developing evaluation methods, and implementing MLOps best practices.
The role involves building computer vision models for 3D scans, researching state-of-the-art machine learning methods, working with product and research teams to improve product lines, and implementing best practices for MLOps pipelines, all while working with large datasets.
As a Senior Software Engineer on the Predict team, you'll develop scalable, fault-tolerant systems for machine learning, optimize low latency applications, and collaborate with cross-functional teams to enhance risk management tools. You'll also participate in the on-call rotation and stay updated on industry developments.
As a Software Engineer specializing in Machine Learning, you will design and develop high-quality AI/ML models and customer solutions, focusing on infrastructure that supports scalable data collection and processing. Engaging with various stakeholders, you'll tackle business needs by creating intelligent approaches and robust data servicing mechanisms.
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