Top Remote Machine Learning Jobs in Fayetteville-Springdale-Rogers
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.
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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.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead cross-team projects, ensure high code quality, collaborate with various teams, and contribute to development capabilities through mentoring.
Join Arity as a Machine Learning Scientist to work on building scalable distributed machine learning models for analyzing geospatial data and creating innovative insights. Collaborate with a cross-functional team to enhance transportation safety and efficiency through data-driven solutions.
As a Generative AI Scientist at Mission Cloud, you will leverage generative AI models to build internal products, collaborate with teams, and contribute to groundbreaking AI solutions. Responsibilities include designing and deploying AI models, collaborating with interdisciplinary teams, and staying updated on AI trends. Requirements include experience in AI model implementation, programming skills in Python and AI frameworks, and AWS certifications. This remote position offers a rewarding package and career development opportunities.
Seeking a Machine Learning Engineer with expertise in Python, Machine Learning, and Data Science to join the Optimization team. Responsibilities include developing machine learning algorithms, data pipelines, and deploying models into production. Collaborates with internal teams, provides leadership, and contributes to future product development studies.
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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Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning and optimize prediction performance. Implement production-ready pipelines for ML prediction and training.
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