Top Remote Machine Learning Jobs
As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.
Lead Cash App's Personalization ML organization, overseeing all personalization ML modeling and engineering work for Cash App & Afterpay. Partner closely with product leaders to incorporate machine learning and AI into new features and enhance existing products. Grow, lead, and mentor a team of machine learning modelers, scientists, and engineers. Contribute to strategic plans and shape the company's ML and AI strategy.
This role is part of the ML team and will be deeply embedded within the Underwriting and Credit product team. The Senior Machine Learning Engineer will work on building and integrating ML solutions for evaluating customer cash flow risk and identifying opportunities for growth in the customer base. They will collaborate with cross-functional teams to see their solutions through to production.
Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
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.
Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.
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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.
Featured Jobs
Seeking an experienced Machine Learning Engineer to join our team and contribute to the development of AI features and infrastructure at Samsara. This role involves working on computer vision, large language models, and multimodal machine learning for edge devices and the cloud. Join us and make a real-world impact on industries such as agriculture, construction, transportation, and manufacturing.
The Principal Machine Learning Engineer will be responsible for implementing machine learning features and ensuring scalability and reliability of production systems. They should have extensive experience in Python and machine learning, as well as strong skills in data engineering, system design, ML Ops, and collaboration.
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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.
Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.
Seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, and strong full-stack capabilities in React. Responsibilities include providing technical support to POD teams, assisting in solution architecture, model development, data pipeline support, model deployment, frontend development support, collaboration, and documentation.
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.
Looking for an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with scientists to ensure efficient model training and integration into production environment. Responsible for reliability, cost-effectiveness, scalability, and velocity of ML models.
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