Top Machine Learning Jobs
Grainger Technology Group is seeking a Manager of Applied Machine Learning to build scalable ML models for customer data insights and sales team effectiveness. Responsibilities include building predictive models, deploying ML endpoints, and collaborating with cross-functional teams.
Lead teams in driving strategic direction through collaboration with Applied Science, Engineering, and Product leaders. Partner with cross-functional team to deliver AI-powered products, build AI foundation models, engage in high impact applied research, and translate complex work into tangible business goals.
Lead the design, development, testing, deployment, and support of machine learning (ML) models in a cloud environment. Collaborate with product team and mentor engineers to improve technical ability and build their profile within and outside the organization.
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Responsible for developing innovative and practical Generative AI applications for Tempus product line. Collaborate cross-functionally with other teams to understand needs and requirements. Conduct research and exploration of generative AI techniques, with a specific emphasis on healthcare applications. Design and implement generative AI models tailored for healthcare scenarios. Collaborate with domain experts, clinicians, and researchers to validate and refine the models' outputs.
Join Square's Measurement Machine Learning team as a Senior Machine Learning Engineer specializing in attribution modeling. Build innovative ML solutions for Square's attribution system to drive growth and strategic decisions. Collaborate with various stakeholders and external data providers to enhance Square's measurement capabilities.
Looking for a Software Engineer focused on neural network deployment and GPU software development to join Scythe. Responsibilities include optimizing models for deployment, maintenance of evaluation tooling, collaborating with the Perception team, and more. Required skills include C++, Python, PyTorch, TensorRT, CUDA, and familiarity with Linux and AWS.
As a Senior Software Engineer in the Central AI team at Atlassian, you will build and maintain core infrastructure for machine learning. Responsibilities include solving complex problems, leading projects, and collaborating with teams. The role requires 5+ years of software development experience, fluency in Java, Kotlin, Python, and expertise in AWS, Apache Spark, and Machine Learning projects lifecycle.
Responsible for developing and deploying novel prototypes and algorithms to solve complex problems in machine learning. Leads the design and implementation of end-to-end solutions using advanced technologies. Mentors junior engineers and provides guidance to teams. Presents technical papers at conferences and contributes to intellectual property creation.
Looking for a talented Staff ML Engineer to build ML platforms and data pipelines for large-scale data repositories. Responsibilities include designing and building ML architecture, managing the ML platform, developing data pipeline architecture, and writing scalable software. Qualifications include 8+ years of Java development experience, 4+ years in AI, ML, and Data Science, and knowledge of Python, Scala, TensorFlow, and more.
Seeking a Senior Machine Learning Engineer to lead a team in building and scaling AI and Data products for various client use cases. Responsibilities include strategic planning, developing ML and AI products, staying updated with research advancements, implementing innovative algorithms, and ensuring data privacy compliance.
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