Top Machine Learning Jobs in Phoenix, AZ
Join Cash App's Machine Learning team to build models for fraud detection, customer support automation, and underwriting. Work on state-of-the-art algorithms, use NLP, OCR, biometric data, and advance credit solutions. Be part of a dynamic team focused on innovation and impact.
This role is for a Machine Learning Engineer specializing in modeling for Cash App. Responsibilities include building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The company is focused on redefining the world's relationship with money through innovative financial products and experiences.
Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.
Looking for a Software Engineer focused on neural network deployment and GPU software development to join Scythe. Responsibilities include optimizing models for deployment, maintenance of evaluation tooling, collaborating with the Perception team, and more. Required skills include C++, Python, PyTorch, TensorRT, CUDA, and familiarity with Linux and AWS.
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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.
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.
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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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.
The Principal Machine Learning Engineer will be responsible for implementing machine learning features and ensuring scalability and reliability of production systems. They should have extensive experience in Python and machine learning, as well as strong skills in data engineering, system design, ML Ops, and collaboration.
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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.
Seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, and strong full-stack capabilities in React. Responsibilities include providing technical support to POD teams, assisting in solution architecture, model development, data pipeline support, model deployment, frontend development support, collaboration, and documentation.
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