Top Remote Machine Learning Jobs in Providence, RI
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.
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.
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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.
Grammarly is seeking a Machine Learning Engineer to join their Marketing Technology team. The role involves shaping marketing strategies, improving customer experiences, and optimizing marketing campaigns using data and advanced algorithms. Responsibilities include maximizing ROI for advertising campaigns and delivering targeted ads to the right audience.
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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.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products, empower teams to understand financial performance, experiment with modeling techniques, partner cross-functionally with finance, product, and engineering teams.
As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
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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.
Top remote Companies in Providence, RI Hiring Data + Analytics Roles
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