Top Machine Learning Jobs in NYC, NY

As a Staff Machine Learning Engineer at Warner Bros. Discovery, you'll architect and scale recommendation systems for the Max streaming platform, collaborating with teams to enhance personalization through advanced machine learning techniques. You'll lead projects, mentor others, and foster a data-driven culture.

As a Lead Machine Learning Engineer, you will design and implement ML solutions, optimizing existing services, writing code, and managing project milestones while collaborating with engineering and product teams. This role requires leveraging ML techniques to enhance user experiences on Disney's streaming platforms.

As a Staff Quality Engineer, you will focus on improving product quality through automated testing and collaboration within agile teams. Responsibilities include advocating for quality assurance, driving test coverage, mentoring team members, and analyzing quality metrics to support product management and development teams.

As a Principal Data Scientist, you'll leverage machine learning to analyze billions of customer records, develop real-time models, and ensure data quality. You will collaborate with product teams to enhance customer experiences and guide decision-making through data-driven insights.

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.

The Machine Learning Engineer II will develop algorithms for personalization and recommendation systems for Disney's streaming services like Disney+ and Hulu. Responsibilities include algorithm maintenance, feature engineering, optimization of data pipelines, and collaboration with various teams to enhance data strategy and product features.

As a Lead Machine Learning Engineer, you'll design, develop, and implement machine learning applications at scale, collaborating with Agile teams. This role involves delivering ML models, integrating ML infrastructure, automating deployment, and ensuring model performance in production, while adhering to best practices in Responsible AI.

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 Data Scientist in Consumer Identity ML at Capital One, you will explore customer behavior patterns, develop real-time models for customer needs, and ensure data accuracy to improve customer experiences and prevent fraud, working with large datasets and collaborating with various teams.

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.

The Machine Learning Engineer will enhance Peloton's personalization through AI and ML by building and improving ML pipelines, applying advanced machine learning techniques, running A/B tests, and collaborating with various teams to deploy and monitor models. This role offers the chance to work with granular data in the fitness industry to drive engagement and user experience.

The role involves developing NLP capabilities for Peloton's fitness content, enhancing existing platforms, conducting experiments in NLP, building and deploying machine learning models, and optimizing search algorithms.

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.

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.

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.

The Applied AI Modeling Lead will develop AI and machine learning products, leveraging NLP to solve complex business problems, analyze data, and deliver actionable insights. They will contribute to product development and mentor junior members.

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.