Top Machine Learning Jobs in NYC, NY

The Machine Learning Engineer will create models to enhance user experience and drive value for advertisers, review code quality, and build scalable products while addressing technical tradeoffs and collaborating effectively with partners.

As a Machine Learning Engineer at Snap Inc, you'll create models to enhance user and advertiser value, evaluate technical tradeoffs, conduct code reviews, and develop scalable products while prioritizing quality and collaboration.

The Principal Machine Learning Engineer will design and scale machine learning components and services, build a training framework for large-scale model training, optimize model performance on GPUs, develop an AutoML platform, and collaborate across teams to meet product requirements.

As a Machine Learning Engineer, you will create models that enhance user and advertiser value, focusing on LLMs for text and multimodal challenges. You will evaluate technical decisions, conduct code reviews, and build scalable products while collaborating with internal and external partners.

The Senior Machine Learning Engineer will build scalable machine learning systems, enhance entity resolution algorithms, and develop ML infrastructure. Responsibilities include designing reliable ML solutions and collaborating with cross-functional teams to optimize performance and testability.

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 Senior Machine Learning Engineer on the On-Device ML team at Grammarly, you will design and build ML models, propose new features, integrate models into user interfaces, and monitor deployments through A/B testing while collaborating with core product teams.

The Senior Machine Learning Engineer at Rokt will design and implement machine learning models to address business challenges. Responsibilities include user targeting, dynamic Ads content generation, and collaborating with product teams to architect AI-driven solutions while ensuring high-quality code and mentoring team members.

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.

As a Machine Learning Engineer, you'll identify and integrate ML opportunities into the product, prototype models, collaborate with the Product Engineering team, and create data pipelines to support ML systems. You'll leverage your expertise in natural language processing and provide guidance to enable other teams to build ML-powered features.

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.

You will provide technical leadership in developing and implementing machine learning applications at scale, optimizing data pipelines, and ensuring performance. Responsibilities include delivering ML models, collaborating with various teams, mentoring engineers, and focusing on continuous innovation and best practices in machine learning engineering.

As Vice President in Applied AI/ML, you will design and implement AI/ML solutions, analyze business problems, and collaborate with cross-functional teams. Responsibilities include developing data pipelines, conducting exploratory data analysis, mentoring junior staff, and communicating insights effectively.

As a Senior Machine Learning Engineer, you will design, build, and implement machine learning applications. This role involves collaborating with product and data science teams, constructing data pipelines, and deploying optimized ML models. You will ensure experiences with cloud architectures and machine learning frameworks, while maintaining the production of models and application code.

As a Summer Associate in the Machine Learning Center of Excellence, you will apply advanced machine learning techniques to solve financial problems, work on independent research, collaborate with mentors, and tackle challenges in natural language processing and reinforcement learning.