Pearl, Inc.
Machine Learning Platform Engineer
Pearl, Inc., Los Angeles, California, United States, 90079
Pearl is looking for a
Machine Learning Platform Engineer
with at least 5 years of industry experience. You will be responsible for building and maintaining many of the core applications that power Pearl. You will be working to advance Pearl’s machine learning capabilities in both 2-D and 3-D. You will be working to build and maintain the machine learning infrastructure which supports Pearl's machine learning efforts. This role requires familiarity with AWS and Python. The ideal candidate is a practical full stack engineer with experience or interest in machine learning.Responsibilities:
Design, develop, and maintain new features and improvements for Pearl’s existing Machine Learning applicationsInterface with the Machine Learning and Product teams to design and build new applications which serve Pearl’s core product setWeb-based applications (React/Vue)Work with big data for these Machine Learning applications and write optimized queries for the sameWork with the Machine Learning team to define and enforce data collection standardsWork with Engineering to improve and maintain a rapidly growing datastorePerpetually work to identify and improve usability in all of Pearl’s applicationsMinimum Qualifications:
B.S., M.S. or Ph.D. degree in Computer Science or a related field or equivalent work experience5+ years experience in building automation tools, preferably for Machine Learning applicationsProven proficiency with DockerKnowledge of SQL and the ability to write efficient, performant queries3+ years of experience with AWSExperience with open source frameworks like Tensorflow and PyTorchStrong communication skills to effectively collaborate with cross-functional teams including both technical and non-technical team membersPreferred Qualifications :
Experience working in medical imagingExperience with CPU/GPU optimizationExperience with KubernetesMeaningful equity in healthtech startupOngoing learning and development
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Machine Learning Platform Engineer
with at least 5 years of industry experience. You will be responsible for building and maintaining many of the core applications that power Pearl. You will be working to advance Pearl’s machine learning capabilities in both 2-D and 3-D. You will be working to build and maintain the machine learning infrastructure which supports Pearl's machine learning efforts. This role requires familiarity with AWS and Python. The ideal candidate is a practical full stack engineer with experience or interest in machine learning.Responsibilities:
Design, develop, and maintain new features and improvements for Pearl’s existing Machine Learning applicationsInterface with the Machine Learning and Product teams to design and build new applications which serve Pearl’s core product setWeb-based applications (React/Vue)Work with big data for these Machine Learning applications and write optimized queries for the sameWork with the Machine Learning team to define and enforce data collection standardsWork with Engineering to improve and maintain a rapidly growing datastorePerpetually work to identify and improve usability in all of Pearl’s applicationsMinimum Qualifications:
B.S., M.S. or Ph.D. degree in Computer Science or a related field or equivalent work experience5+ years experience in building automation tools, preferably for Machine Learning applicationsProven proficiency with DockerKnowledge of SQL and the ability to write efficient, performant queries3+ years of experience with AWSExperience with open source frameworks like Tensorflow and PyTorchStrong communication skills to effectively collaborate with cross-functional teams including both technical and non-technical team membersPreferred Qualifications :
Experience working in medical imagingExperience with CPU/GPU optimizationExperience with KubernetesMeaningful equity in healthtech startupOngoing learning and development
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