Top Hybrid Machine Learning Jobs in NYC
Use machine learning to generate insights about the operations business, build scalable analytics capabilities, develop production quality code, communicate results to technical and non-technical audiences, collaborate with data scientists and tech partners, mentor junior-level data scientists and data engineers.
Lead Machine Learning Engineer at GoodRx responsible for developing and implementing analytical capabilities, machine learning models, and data services/products. Must have a Master's degree in relevant fields and 7+ years of experience in building machine learning systems at scale.
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, maintain a culture of innovation, quality, and transparency, work in an Agile environment.
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Research, design, and build high-impact machine learning products for customer growth. Contribute to scalable ML systems in production and collaborate with cross-functional teams. Requires 3 years of experience with personalization and familiarity with common ML frameworks like TensorFlow and PyTorch.
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.
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.
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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