Top Machine Learning Jobs in Phoenix, AZ
As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.
The Applied Machine Learning Scientist will handle machine learning tasks including data processing, running experiments, and writing production-level code. They will develop and deploy ML models, document experiments, and collaborate with team members to apply machine learning solutions effectively.
The Machine Learning Engineer will develop and implement machine learning solutions, collaborate on integrating AI into Workiva's platform, and enhance ML performance and monitoring tools. Responsibilities include designing systems, maintaining ML infrastructure, writing high-quality code, debugging, and engaging in team collaborations.
As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.
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As a Machine Learning Engineer at Dropbox, you will design, build, and iterate on large-scale ML systems. You will collaborate with cross-functional teams to personalize user experiences and evaluate system performance against business objectives, impacting millions of users directly.
As a Senior Software Engineer in ML Infrastructure, you'll collaborate with various teams to enhance Thumbtack's machine learning capabilities, focusing on feature engineering, model monitoring, and deployment. You will help standardize processes and drive projects to completion while solving complex technical challenges.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
As a Machine Learning Analyst, you will assist in developing data pipelines, building and deploying machine learning models, and collaborating across teams to enhance product features with ML capabilities. Your role includes supporting data processing, automating workflows, contributing to analytics dashboards, and learning from experienced team members to grow in data science and machine learning.
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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