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Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. 3+ years of experience in machine learning, data analysis, or a related field.
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All of that data that we process goes through Machine Learning and Deep Learning algorithms and models, all built and trained in-house, to ensure peak relevancy for consumers, and are constantly being improved upon, which results in one of the most advanced and mature Machine Learning practices in the world.
$280,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Senior Machine Learning Engineer. Production experience implementing machine learning pipelines and models at scale in Python, Java, Scala, or similar languages. Knowledge in one or more of the areas such as Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning, and Constrained Optimization.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Machine Learning Engineer on the Banking & SFS team, you will support fellow Data Scientists and Modelers in building and deploying machine learning models that support our banking and lending business.
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You'll serve as a technical domain expert in machine learning, data processing, data serving architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our applications.
$208,000 - $300,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Relevant Keywords: Large Language Models, Machine Learning, Python, Deep Learning, Gemini, GPT, GPT-3, GPT-4, Synthetic Data, ML Fundamentals, Pytorch, TensorFlow, Data Engineering, Data Preprocessing.
$180,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A collaborative, innovative environment that fosters growth and learning. About the Role, MTS, Applied ML Research Scientist: You'll collaborate with cross functional teams to enhance product experiences using LLM's for enterprises, develop custom solutions for design partners & customers, guide model development, and create educational resources to facilitate customer onboarding and feedback collection.
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This role requires a strong understanding of machine learning algorithms, data analysis, and fraud detection techniques. Develop, implement, and maintain machine learning models for fraud detection.
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Check out our Machine Learning / AI blog here! Learning and Development resources. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Made up of Square, Cash App, Spiral, TIDAL, and TBD, we build tools to help more people access the economy.
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In this exciting role, you will join a vigorous team of geoscientist and ML researchers from leading US institutions developing next generation tools for geological carbon storage (GCS).
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of professional experience as a data scientist in the SaaS industryMastery of SQLExperience with Python for statistical analysis and building machine learning modelsWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with DatabricksStrong presentation and written communication skills with the ability to build consensus with multi level cross-functional stakeholdersYou are.
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Insitro is pioneering a new approach to drug discovery and development, enabled by the use of advanced machine learning (ML) to interrogate large amounts of cellular, molecular and clinical data.
$245,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago
machine learning jobs Title: principal Company: Pearson in San Francisco, CA
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