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Build a strong understanding of our current computer vision systems and data pipelines. DeepWalk’s computer vision platform for automated sidewalk inspection. DeepWalk is a fast-growing venture that helps cities keep people safe using computer vision to map and monitor their sidewalks.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience, with 5 years or equivalent of professional experience in machine learning or data science. We are seeking a Data Scientist II with strong experience in computer vision and deep learning
MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field Experience with Python or C/C++ in a Linux environment Knowledge and experience in application of Deep Learning to Computer Vision problems Real-world experience building Computer V
Manager, Data Science & Engineering - Title & Launch Management. Master's or PhD in Machine Learning, Computer Science, or a closely related field. The Title & Launch Management Data Science and Engineering team is at the forefront of driving operational and creative excellence in how we launch and
Data Science Builder: 8+ years designing, building, and operating data science systems in production, with deep expertise in statistical modeling, experimentation design, and data pipeline engineering. Data Science Lead Engineering Manager Primary: Bay Area (San Francisco / Peninsula) | Secondary:
Relevant education, such as a major in Data Science, Business Analytics, or Computer Science. Minimum 5 years of experience as a project manager in relevant fields such as data science, semiconductor, manufacturing, or metrology. Minimum 5 years of experience as a project manager in relevant fields
Job Description: Title: Machine Learning/Computer Vision Research Scientist Job Location: 2535 Augustine Drive, 3rd Floor, Santa Clara, CA 95054 Duties: Research and implement advanced deep learning models for custom computer vision tasks, including object detection, identification, tracking, an
Strong background in Electrical Engineering, Computer Science, or closely related field (advanced degree preferred). We look forward to speaking with you, and learning more about what you are seeking in your next opportunity.