Top Machine Learning Jobs in NYC
It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers. We want to redefine the world's relationship ...
As an Applied AI ML Associate, you will be responsible for the development, testing, containerization, and deployment of machine learning applications and models to cloud infrastructure. You will collaborate with team members to create scalable code using Python and work with version control systems.
Seeking a senior Machine Learning Engineer to fuel Square's growth by developing data-driven attribution solutions and working with stakeholders to refine growth strategy and investment decisions.
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Seeking a skilled MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. Responsibilities include designing and implementing MLOps pipelines, managing model lifecycle, optimizing cloud infrastructure, collaborating with ML engineers, and staying updated on industry trends.
Looking for a Machine Learning Engineer with expertise in Python, Machine Learning, and Cloud Platforms to join the Optimization team at Beeswax, a part of FreeWheel. Responsibilities include working on computational challenges in user response prediction, bidding optimization, forecasting, and more. The role involves contributing to software engineering and machine learning projects, developing data pipelines, training and deploying machine learning models, and collaborating with teams to provide technical solutions.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, maintain high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Requires 8+ years of backend software development experience.
Seeking a Principal Machine Learning Engineer at Atlassian to drive the development and implementation of cutting-edge machine learning algorithms, collaborate with teams to integrate AI functionalities into products, and provide guidance to emerging ML engineers. Must have a Master's or PhD in a quantitative subject.
Design, implement, and scale critical machine learning components and services, build a next-generation training framework, optimize model performance, automate machine learning model lifecycle, collaborate across teams, and provide technical direction.
The VP of Machine Learning Engineering at Rokt will lead the research, experimentation, and implementation of new ML models critical for the company. They will shape and lead exceptional teams, develop and deploy ML models for various applications, collaborate with cross-functional teams, provide technical leadership, and stay current with the latest ML research.
Seeking an experienced Machine Learning Infrastructure Engineer to develop, deploy, and manage scalable machine learning solutions within our tech stack. Responsibilities include designing tools and pipelines, orchestrating containerized ML applications, collaborating with data scientists, and ensuring the reliability and performance of ML models.
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