Top Machine Learning Jobs
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.
Seeking a Senior Machine Learning Engineer with expertise in attribution space to join the team in expanding Square's measurement system. Responsibilities include building data science and machine learning solutions, partnering with stakeholders, and staying updated on industry advancements.
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.
Senior Software Engineer in the Central AI team responsible for building and maintaining core infrastructure for machine learning engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines. Must have 5+ years of experience in software development, fluency in Java, Kotlin, Python, experience with AWS, Apache Spark, and knowledge of Machine Learning project lifecycle.
At Atlassian, the Senior Machine Learning Engineer position offers a competitive base pay range of $165,500 - $265,800 in the United States across three geographic pay zones. The role may also include benefits, bonuses, commissions, and equity.
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.
Featured Jobs
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.
Join Cruise as a Senior Machine Learning Engineer II in Perception, working on building advanced self-driving vehicles. Responsibilities include researching, prototyping new algorithms, optimizing on-road performance, and supporting hardware initiatives. Must have a solid understanding of computer vision fundamentals and experience in ML model development and training.
Build and design tools and infrastructure to support Data Scientists at Whoop as they develop, deploy, and monitor machine learning models. Contribute to new software feature ideation, planning, and development. Follow best practices around software testing, observability, and monitoring.
As an Application Engineer (Machine Learning Platforms) at Discover, you will build and release reliable software systems at scale, focusing on building the Enterprise Machine Learning Platform. You will analyze, design, program, test, and deploy new features with high quality and lead technology communities at Discover.
GoodRx is seeking a Lead Machine Learning Engineer to lead the development and implementation of analytical capabilities, machine learning models, and data products. Responsibilities include developing personalization services, collaborating on technology projects, standardizing machine learning frameworks, and analyzing data insights. The ideal candidate should have a Master's degree in relevant fields and at least 7 years of experience in building machine learning systems at scale.
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Senior Machine Learning Engineer responsible for developing cutting-edge ML models and algorithms for strategic investment decisions. Partner with various stakeholders to refine growth strategy and inform investment decisions with data. Stay updated on the latest trends in machine learning and data science.
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