Top Machine Learning Jobs in NYC
Oversee and guide end-to-end machine learning projects, lead development and implementation of models and algorithms, anticipate risks, communicate with stakeholders, foster cross-functional work environment.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and work on machine learning applications. Mentor and support other engineers in the team.
The Senior Machine Learning Engineer (Modeling) - Underwriting and Credit at Cash App will build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, optimize automated decisioning pipelines, experiment with modeling techniques, and partner cross-functionally with teams.
As a Senior Machine Learning Engineer in the Underwriting & Credit organization at Cash App, you will be responsible for designing, building, and managing distributed services and pipelines. You will lead impactful projects, ensure high code quality, collaborate with various teams, and contribute to the growth of development capabilities through mentoring.
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.
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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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Seeking a Senior Machine Learning Engineer to design and build ML models for classification, regression, and machine vision problems, perform hyper-parameter tuning, implement ML pipelines, and optimize prediction performance. The role requires a Bachelor's degree in computer science or a related field, 5+ years of dedicated experience, expertise in computer vision and NLP models using neural networks, and proficiency in ML frameworks like TensorFlow and PyTorch.
As a Senior Machine Learning Engineer at Movable Ink, you will be responsible for developing core machine learning solutions and infrastructure, working on recommender system challenges, and collaborating with various engineering teams to advance the ML platform. The role offers the opportunity to work on cutting-edge technologies and make a significant impact on customer interactions.
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