Top Remote Machine Learning Jobs
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.
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.
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.
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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.
Seeking a Senior Machine Learning Engineer with expertise in attribution to expand Square's measurement system, partnering with various teams to drive growth and inform investment decisions with data, and staying updated on advancements in machine learning and data science.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to improve customer support effectiveness, collaborate with cross-functional teams to develop impactful solutions, continuously monitor model performance, and prepare reports on trends to stakeholders.
Featured Jobs
Develop ML solutions to increase safety, efficiency, and sustainability of physical operations at Samsara. Collaborate with various engineering teams to deliver core infrastructure and optimizations. Open to candidates in Canada and US excluding specific areas in San Francisco Bay Area and NYC Metro Area.
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to enhance customer support, collaborate with cross-functional teams, monitor model performance, and prepare reports on trends.
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As a Senior Machine Learning Engineer at Wasabi, you will deploy scalable machine learning solutions and enhance computer vision and audio processing capabilities. You will work with a modern software stack and collaborate with a team of passionate engineers to drive innovation in machine learning and cloud storage.
As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.
Seeking a Machine Learning Architect to advance Machine Learning and Artificial Intelligence R&D strategy. Responsibilities include designing and developing AI architectures, evaluating AI technologies, collaborating across teams, and leading AI system deployment in production settings.
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Join Grammarly as a Machine Learning Engineer on the Marketing Technology team. You'll be responsible for improving data-driven decision-making, enhancing customer experiences, and optimizing marketing campaigns through the use of machine learning solutions. Collaborate with various teams to personalize marketing efforts and promote best practices in research and implementation.
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services at ServiceNow. Collaborate with a team of scientists, developers, and product managers to deliver innovative solutions to enterprise customers worldwide.
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