Top Machine Learning Jobs
As a Computer Vision Machine Learning Engineer at Anduril Industries, you will prototype innovative ML solutions, curate datasets, develop ML pipelines, and deploy deep learning models for real-time applications, focusing on computer vision and robotics challenges.
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Develop and implement innovative pricing algorithms using machine learning and optimization techniques to solve complex pricing challenges. Engage in the entire ML development pipeline, from data acquisition to model deployment, while collaborating with cross-functional teams and effectively communicating results to diverse audiences.
The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.
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The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
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As an AI Researcher at DRW, you will develop and test AI models and algorithms, construct data pipelines, evaluate model performance, and collaborate closely with your team. You will also stay informed on the latest AI techniques and contribute to improving research processes, all while receiving mentorship and participating in a robust training program.
As a Data Scientist for Machine Learning Operations at Enova, you will develop, enhance, and deploy software to build and deploy critical models. The role involves conducting ad hoc analyses, interpreting data, and communicating findings to cross-functional teams while maintaining tools for efficient model lifecycle management.
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The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
As a Machine Learning Engineer at Clay, you will drive the integration of ML features into the product, prototype and productionize models, collaborate with engineering teams, and develop data pipelines to support ML systems. You will need a solid understanding of NLP and deploying models in user-facing environments.
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As a Machine Learning Engineer at Ibotta, you will design, develop, and deploy scalable machine learning models and infrastructure. You will collaborate with cross-functional teams, communicate complex solutions to stakeholders, and contribute to innovative projects involving recommendation systems and generative AI.
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