Top Machine Learning Engineer 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.

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 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.

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 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.

As a Sr. Machine Learning Engineer, you will analyze complex datasets, lead the development of models and algorithms, supervise data analysis, ensure software code efficiency, manage risks in machine learning predictions, and communicate insights to senior management, fostering collaboration across teams.

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.

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 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.

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 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.

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.

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 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.

The Senior Machine Learning Engineer will lead data projects to launch new machine learning products and enhance predictive features in Iterable's platform. Responsibilities include collaborating with cross-functional teams, developing machine learning pipelines, and evaluating algorithm performance using diverse datasets.