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Strong background in statistical analysis, machine learning, and predictive modeling. This is a senior individual contributor role reporting to Vice President - Customer Success Strategy, Operations & Transformation.
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. As a Senior Engineering Manager in DoorDash’s Core Data Platform organization, you will be responsible for the most critical long term technical roadmap of the organization.
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.
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And as a manager, you guide the way. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
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We use cutting edge machine learning, data mining and optimization algorithms on this data. Strong computer science fundamentals in algorithms, data structures, databases, machine learning, etc.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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MS or PhD in Computer Science, Machine Learning, Statistics or related fields. Hands on experience in data modeling and machine learning engineering. Collaborate with application engineering, product, and partner teams to design machine learning solutions.
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Leveraging highly scalable microservices, innovative new data models, unique big data solutions, and advanced machine learning algorithms, we produce a world-class, localized shopping experience for customers globally in their preferred language.
$231,400 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago
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