Top Remote Machine Learning Jobs in Portland, ME
Join Workiva as a Staff Machine Learning Engineer to architect and deliver cutting-edge ML solutions, collaborate with product teams, lead in the ML space, ensure reliability, and support machine learning infrastructure. Required qualifications include a Bachelor's degree in Computer Science or Engineering, 4 years of ML engineering experience, and proficiency in ML development cycles and toolsets.
Senior Data Scientist role at Sensor Tower focusing on developing data modeling algorithms, consulting on AI usage, and acting as a subject matter expert for digital advertising. Requires 4 years of experience in ad-tech/mar-tech industry and expertise in Python, Ruby, AWS, and statistical visualization tools.
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.
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.
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.
Featured Jobs
Seeking a Machine Learning Engineer in Perception to develop robust models for self-driving vehicles. Responsibilities include prototyping new algorithms, optimizing model performance, and supporting hardware projects. Ideal candidates should have a solid understanding of computer vision fundamentals and experience with ML model development.
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.
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.
Develop end-to-end ML applications to increase safety, efficiency, and sustainability of physical operations. Collaborate with engineering teams to deliver core infrastructure and optimizations. Opportunity to impact real-world industries and work on scalable technology innovations.
Seeking a skilled MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. Responsibilities include designing and implementing MLOps pipelines, managing the lifecycle of models, optimizing cloud infrastructure, collaborating with the team, and staying updated on industry trends.
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.
The Machine Learning Engineer 3 position at FreeWheel, a Comcast company, involves working on a wide range of computational challenges such as user response prediction, bidding optimization, forecasting, and more. The role requires expertise in Machine Learning/Data Science technologies and cloud platforms.
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++.
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