Top Machine Learning Jobs
Lead and oversee ML projects from planning to delivery, drive the long-term vision of the team, and collaborate with cross-functional teams to produce high-quality software artifacts for a cutting-edge AI Platform at ServiceNow.
Lead and oversee ML projects, drive strategic planning, collaborate with cross-functional teams, and manage software development lifecycle for AI Platform components at ServiceNow.
Looking for a passionate Machine Learning Engineer to build and scale recommendation systems for global streaming apps. Must have industry experience and technical lead experience. Responsibilities include architecting recommendation systems, collaborating with teams, and driving ML projects. Requirements include practical knowledge of recommender systems, large-scale distributed application architecture, Python/Java programming experience, and excellent communication skills.
Senior Machine Learning Engineer role at Cash App's Financial Crimes Technology team. Responsibilities include designing and building ML inference services, facilitating modelers, developing prototypes, and influencing team culture. Requires 4+ years of ML and Engineering experience, a Bachelor's degree in a technical field, familiarity with Linux/OS X command line and Python computing.
Join Cash App's Risk ML team as a Machine Learning Engineer specializing in modeling. Work on identity verification and risk mitigation for the Cash Card product. Must have a Bachelor's degree in Computer Science or related field and 6+ years of experience in machine learning.
Featured Jobs
Join Cash App's Risk ML team to work on machine learning algorithms for identity verification and risk mitigation in financial services. Collaborate with cross-functional teams to balance business risk and regulatory compliance while enhancing customer experience.
Design and develop machine learning models, research and implement AI/ML frameworks, collaborate with senior management, work on big data platforms, and partner with various teams in the credit card industry.
Seeking a Principal Data Scientist with strong engineering skills to drive technical capabilities in ML and AI across multiple teams. Responsibilities include building ML/AI products, serving as tech lead, advocating for improved practices, providing mentorship, and leading collaborations with senior leaders.
Develop and deploy machine learning algorithms, mathematical optimization solutions, and time series forecasts using Python, Git, SQL, Spark, and TensorFlow. Analyze and evaluate machine learning solutions and contribute to product development. Position is eligible for 100% remote work.
Develop advanced algorithms for large data sets, evaluate emerging datasets and technologies, contribute to thought leadership, possess strong analytical and quantitative skills, and have expertise in machine learning algorithms and big data concepts.
Drive technical and organizational roadmap for machine learning engineering team at Snap Inc. Develop cutting-edge solutions, lead a team of engineers, and collaborate with cross-functional teams to create innovative features for Snapchat users.
Join Chewy's Search & Recommendations team as a Principal Machine Learning Engineer/Data Scientist. Develop models for personalized recommendations and search for pet parents. Work on all stages of model development, from idea to deployment. Partner with cross-functional teams to drive impactful products and improve modeling techniques. Present findings to business customers. Requires advanced degree or 10+ years of experience in Operations Research, Statistics, or Data Science, along with expertise in machine learning methodologies and distributed pipeline development.
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