Top Senior Machine Learning Engineer Jobs in NYC, NY
As a Lead Machine Learning Engineer at Personio, you will provide technical leadership, design and deploy scalable ML algorithms, mentor junior engineers, and shape the Machine Learning landscape within the organization. This hybrid role is based in New York City.
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 Capital One Machine Learning Engineer, you will be responsible for designing, building, and delivering ML models and components to solve business problems. You will work closely with cross-functional teams to ensure high availability and performance of machine learning applications. Responsibilities include model training, infrastructure decisions, and maintaining models in production.
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Senior Machine Learning Engineer role at Canoe Intelligence focusing on NLP algorithm development, model training, data preprocessing, collaboration with teams, research, and mentorship. Responsibilities include leading design and implementation of NLP algorithms, developing language models, driving entity resolution solutions, and contributing to innovation. Requires 5 years of ML experience, proficiency in Python and relevant libraries, Bachelor's degree in computer science, and expertise in information extraction and entity disambiguation.
Join Enigma as a Senior Machine Learning Engineer to improve entity resolution algorithms, predict small business behavior, and develop machine learning infrastructure. Build ML systems and tools, collaborate with cross-functional teams, and impact decision-making in the small business economy.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems. You will work collaboratively with product and data science teams, inform ML infrastructure decisions, write and test application code, and automate deployment processes.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems. You will collaborate with cross-functional teams to develop and implement ML applications at scale, leveraging cloud-based architectures and continuous integration best practices. The role requires at least 4 years of programming experience with Python, Scala, or Java, as well as expertise in designing data-intensive solutions and working with ML frameworks like scikit-learn and PyTorch.
As a Senior ML Engineer, you will lead the creation, testing, and deployment of ML models to enhance data quality and match results. You will work with a hybrid-remote team to build robust ML workflows and contribute to a decision-maker targeting platform focused on privacy and scalability.
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Join Spring Health as a Senior Machine Learning Engineer to contribute to the development of algorithms and datasets for personalized member care and data products. Responsibilities include building data-centric features, developing an AI platform, and monitoring deployed models. Success in this role involves launching new recommender system products, creating data products using GenerativeAI, and collaborating with data science teams.
Lead complex machine learning projects, analyze datasets, write production-ready code, anticipate risks, and communicate effectively with cross-functional teams.
Join Alloy as a Senior Machine Learning Engineer on the Predict team to build machine learning systems for fraud detection and risk management. Architect scalable systems, deploy ML models, collaborate with cross-functional teams, and stay updated on industry developments. Hybrid work environment with onsite presence twice a week. Must have at least 5 years of experience in software/data engineering and 2+ years in leveraging machine learning for external-facing products.
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.
The Staff Machine Learning Engineer will design, develop, and scale recommendation systems for the streaming app Max, facilitating seamless personalization experiences. The role requires collaboration with cross-functional teams in ML projects and mentoring engineers while advocating for innovation and best practices in machine learning systems.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models and components to solve real-world business problems. You will work collaboratively with Product and Data Science teams, leverage cloud-based architectures, and ensure high availability and performance of ML applications. Additionally, you will retrain, maintain, and monitor models in production and implement best practices in Responsible and Explainable AI.
As a Machine Learning Engineer at Snap Inc, you will create models to drive value for users and advertisers, evaluate technical tradeoffs, conduct code reviews for quality assurance, and build scalable products while iterating on quality.
The Senior Machine Learning Engineer will manage AI/ML projects from concept to deployment, optimize ad serving and search products, implement evaluation tools for models, and mentor junior members while collaborating across the organization.
As a Senior Lead Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems, leading teams in developing ML solutions, and ensuring high availability and performance of machine learning applications.
Machine Learning Engineers work on deploying end-to-end solutions leveraging AI and ML principles to solve business problems. Responsibilities include gathering data, developing plans, analyzing predictive features, managing projects, sharing insights, and profiling users for marketing strategies.
As a Senior Lead Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models and components to solve real-world business problems. You will work on ML architectural design, model code development and review, and ensuring high availability and performance of ML applications. Additionally, you will collaborate with cross-functional teams, retrain and monitor models in production, and leverage cloud-based architectures for optimized ML models.
The Distinguished Engineer - Card Machine Learning at Capital One is a technical expert responsible for defining the future of banking in the cloud. They lead a team to drive innovation, create reusable solutions, and optimize business outcomes through machine learning and data engineering. This role involves promoting engineering excellence, mentoring talent, and contributing technical expertise across the organization. The engineer is tasked with reducing time to market for critical models and leading GenAI initiatives.
Senior Machine Learning Engineer responsible for designing, building, and delivering ML models to solve business problems. Collaborate with cross-functional teams to enhance big data and ML applications. Leverage cloud-based architectures, optimize data pipelines, and ensure successful deployment of ML models using CI/CD best practices.
As a Machine Learning Engineer at Snap Inc, you will build, optimize, and deploy machine learning models for identity resolution and ads attribution. You'll collaborate with teams to align strategies, perform code reviews, and ensure high code quality, while staying current with advancements in machine learning.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products. Work in small cross-functional teams to leverage ML advances and human-centered design.
Snap Inc is looking for a Staff Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products.
As a Lead Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models to solve real-world business problems. You will work closely with cross-functional teams to develop and implement machine learning applications at scale. Responsibilities include model training, infrastructure decision-making, and ensuring high availability and performance of ML applications.
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