Top Hybrid Machine Learning Jobs in New York City, NY
Machine Learning Engineer responsible for leveraging large-scale computation and machine learning to enhance customer products. Overseeing data analysis, developing and implementing models, ensuring efficient software deployment, and strategizing risk mitigation. Communicating complex issues to stakeholders and fostering a cross-functional work environment.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Develop an AutoML platform to accelerate model generation and automate the machine learning model lifecycle. Provide technical direction that influences the entire company.
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, and building robust products. Strong understanding of machine learning approaches and algorithms is required.
Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and build scalable products. Strong understanding of machine learning approaches and algorithms required.
Lead Machine Learning Engineer responsible for productionizing machine learning applications and systems at scale. Collaborate with data scientists and software reliability experts to deploy custom machine learning models. Utilize technologies like PyTorch, HuggingFace, AWS SageMaker, Kubernetes, and Apache Spark to scale up models for millions of customers. Design and build automated solutions to move research products into deployed models and interface with senior engineering leadership.
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Warner Bros. Discovery is looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for their global streaming app, Max. The ideal candidate will be a leader in working with modeling and engineering teams to architect a system serving millions of users worldwide.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, possess a Bachelor's or master's degree in STEM, strong knowledge of Python and Pyspark, experience in engineering features from data sources, expertise in machine learning platforms and algorithms, excellent communication and critical thinking skills.
Seeking a Data Scientist III (ML Engineering) to build machine learning solutions that optimize the performance of Cedar's product. Responsibilities include deep data analysis, ML model development, and performance monitoring.
Join Celonis as a Staff Quality Engineer focusing on Machine Learning applications. You will drive quality assurance processes, automation coding, and overall product quality. Responsibilities include test coverage, tool implementation, and mentoring team members.
Machine Learning Engineers deploy end-to-end solutions to business problems using AI and ML principles. They gather data, develop plans, and work on productionizing solutions. Responsibilities include analyzing data, managing projects, sharing findings, and staying updated on industry trends. Qualifications require a degree in a quantitative discipline, 3-5 years of experience in various data science areas, knowledge of Bayesian inference and machine learning techniques, proficiency in R and Python, and experience with customer segmentation, campaign targeting, and more.
Lead and grow a team to build state of the art event-driven real-time ML ecosystem. Provide technical direction for the ML application and pipeline management team. Partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment. Mentor and facilitate individual careers by optimizing for their success and growth. Maintain a culture of innovation, quality, transparency, inclusion, and empathy. Work in an Agile environment that focuses on collaboration and teamwork.
Lead the design and deployment of scalable machine learning algorithms across all product groups within Personio. Provide technical leadership, mentorship, and guidance to engineers. Collaborate with cross-functional teams on ML tech projects and drive innovation. Uphold high coding standards and contribute to a collaborative work environment.
Top hybrid Companies in New York City, NY Hiring Data + Analytics Roles
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