Top Hybrid Machine Learning Jobs in New York City, NY
As a Senior Distributed Systems Engineer focused on Machine Learning, you will develop and maintain scalable AI solutions, design and deploy ML services, collaborate with stakeholders, minimize deployment risks, and ensure integration of innovations from AI research teams into product development.
As a Machine Learning Engineer, you will enhance Movable Ink's content personalization through insights into customer behavior, build ML models, and collaborate with technical teams. You will develop features for recommender systems and work with data engineers to ensure proper data collection for modeling purposes.
As a Senior Deep Learning Engineer, you'll develop and deploy scalable machine learning models, focusing on content decisioning and email send decisioning. You will collaborate with data and platform engineers to enhance the ML platform, ensuring features deliver tangible business value in a rapid release cycle.
Senior Machine Learning Engineers at Altice USA design and implement data solutions to business challenges using AI and ML techniques. They manage projects from data collection to production, collaborating with stakeholders to ensure the developed models meet business needs while identifying opportunities for innovation through data analysis and pattern recognition.
The Machine Learning Infrastructure Engineer will develop and support ML infrastructure for AI/ML teams, collaborating closely with engineers and scientists. Responsibilities include building scalable infrastructure for ML model development, managing lifecycle and monitoring, and creating an internal training platform for offline experimentation.
Featured Jobs
As an AI Research Scientist, you will lead innovative research in machine learning and data science, conducting large-scale experiments, developing advanced deep learning models, and publishing findings. You will collaborate with teams to refine methodologies and contribute to evolving research practices, applying the latest theoretical advancements to enhance technologies and products.
As a Machine Learning Scientist - Speech AI and NLP, you'll develop and implement sophisticated machine learning models for natural language processing and speech analytics, collaborating across teams to deliver impactful software solutions. You'll design scalable data processing pipelines and ensure high-performance model production while driving business optimization through analytical insights.
The Machine Learning Engineer will analyze complex datasets, develop and implement models and algorithms, ensure effective data visualizations, manage software deployment in production, strategize risk mitigation, and communicate challenges to senior management. This role requires expertise in machine learning and MLOps, and fosters a collaborative work environment.
As a Summer Associate in the Machine Learning Center of Excellence, you will conduct research and develop machine learning models for complex problems in areas like natural language processing and speech recognition, collaborating with various teams to deploy solutions into production.
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 an Applied AI Scientist at ZS, you will develop advanced algorithms for complex problems, execute statistical techniques on large datasets, evaluate emerging technologies for analytics, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
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.
.png)
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.
The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to enhance and differentiate Cedar’s healthcare payment platform. Responsibilities include data analysis, feature engineering, and model performance monitoring, while collaborating with other teams to communicate insights and improve patient engagement.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
