Top Remote Machine Learning Jobs in Portland, ME
Lead the development and deployment of machine learning applications and services on Kubernetes, collaborate with data scientists and engineers, and leverage cloudflare products for AI and ML initiatives.
Build cloud-based AI/ML solutions to enhance enterprise services, collaborate with team for quality software development, understand and deliver high-quality solutions, experienced with Java, Python, AI/ML techniques, algorithms, unit testing, and code tuning.
As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.
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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++.
Join Enigma as a Senior Machine Learning Engineer to lead the development of entity resolution algorithms, predict small business behavior, and enhance machine learning infrastructure. Build scalable ML systems and collaborate with cross-functional partners to drive impact on the small business economy.
As a Machine Learning Scientist at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams to build end-to-end ML applications and optimize services for training, deploying, and monitoring models.
The Staff ML Engineer will be responsible for driving the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform. They will collaborate with cross functional teams, design and engineer ML platforms, and lead the development of scalable ML data products.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Join Spring Health as a Machine Learning Engineer to build and enhance models for precision mental health solutions. Contribute to AI platform development and improve member and provider experiences through innovative data products.
Seeking a Senior Machine Learning Engineer passionate about building impactful and engaging ML products. Responsible for building and deploying ML models, introducing new infrastructure, and collaborating with peers to bring new features into production. Must have 5+ years of experience in ML engineering or data science.
Top remote Companies in Portland, ME Hiring Data + Analytics Roles
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