Top Machine Learning Jobs in New York City, NY
Create machine learning models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and ensure code quality. Build scalable products iteratively without compromising quality.
Snap Inc. is looking for a Machine Learning Engineer with 5+ years of experience to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, building scalable products, and iterating quickly without compromising quality.
The Principal Machine Learning Engineer will design and implement machine learning components, build a large-scale training framework, optimize model performance with GPUs, and develop an AutoML platform. They will collaborate across teams to meet product requirements and ensure high availability and scalability.
As a Machine Learning Engineer at Peloton, you will enhance NLP/NLU capabilities by building and deploying machine learning models, conducting experiments, and optimizing search algorithms. You will work with other team members to address challenges in natural language processing and improve fitness content through AI techniques.
As a Distinguished Machine Learning Engineer at Capital One, you'll lead the productionization of machine learning applications, guiding architectural decisions, developing models, and optimizing data pipelines. You will collaborate across teams to deliver ML solutions while mentoring engineers and applying innovative technologies in financial services.
As a Senior Data Scientist in the Emerging ML team, you will conduct research, build machine learning models, analyze customer behavior, and collaborate with engineering and product teams to improve customer experiences and business outcomes. You'll work across all phases of the data science lifecycle and utilize various data to create impactful solutions.
The Senior Machine Learning Engineer will be responsible for productionizing machine learning applications, ensuring high performance and availability while collaborating with cross-functional teams. Key tasks include designing and deploying ML models, constructing data pipelines, and adhering to best practices in responsible AI.
Featured Jobs
As a Machine Learning Scientist focused on Speech AI and NLP, you will research and produce advanced machine learning models and applications, collaborate across the firm to develop impactful software solutions, and design scalable data processing pipelines for optimizing business results. You will prioritize innovative learning and knowledge sharing.
The Senior Machine Learning Engineer will build and scale personalization and search platforms for the Max streaming app. Responsibilities include developing recommendation systems, collaborating with teams to optimize search and personalization, coding in various languages, and driving improvements in performance and operations for over 100 million users worldwide.
This role involves maintaining and iterating on machine learning micro-services for the Hulu Search Engine, including designing batch training jobs, ensuring healthy training configurations, and setting up MLOps workflows. The position requires collaboration with data engineering and science teams, ensuring production readiness for models and working in an Agile environment.
The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
The AI Operations Specialist will evaluate AI-generated text for accuracy and relevance, conduct testing calls, document bugs, collaborate with teams to improve functionalities, and attract top talent. This role focuses on ensuring the quality of AI-driven products in housing and healthcare.
As a Python Software Engineer at Trumid, you will develop and maintain scalable software for analytics and trading operations, collaborate with other engineers and machine learning teams to optimize real-time systems, and mentor junior engineers in a fast-paced, innovative environment.
The Applied AI Scientist will develop advanced algorithms and execute statistical techniques on large datasets to identify trends. Responsibilities include evaluating emerging datasets, owning the development of assets for scaling capabilities, and contributing to the firm's thought leadership through research and publication.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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