Pearl, Inc.
Machine Learning Scientist
Pearl, Inc., Los Angeles, California, United States, 90079
Pearl is looking for a
Machine Learning Scientist
with at least 5 years of industry experience. You will be responsible for building and maintaining the machine learning models that power Pearl's products. You will be working on both 2-D and 3-D medical imaging problems alongside a team of like-minded engineers in order to improve the performance of our machine learning pipeline and to prototype and deliver CV-driven solutions. This role requires proficiency with Python, Machine Learning, and Statistics. The ideal candidate is rigorously scientific and a savvy engineer.Responsibilities:
Assess and implement methods from relevant literature utilizing open source Vision/Math tools such as Tensorflow and PyTorchCollaborate with cross-functional teams (FullStack, Product) to build products, share learnings, and vice versaBuild upon existing solutions to optimize for performance, reliability, and scalabilityWrite and maintain clean and modular code to deploy in production environmentWork to iteratively improve core model performanceContribute to active research communities through conference/journal publications, meetups, and workshopsMinimum Qualifications:
MS in Computer Vision, Computer Science, Electrical Engineering, Applied Mathematics or Physics, Machine Learning or a related technical field5+ years experience in Computer Vision, Machine Learning, Image AnalysisStrong program fluency in Python or C++ and familiar with LinuxExperience applying Machine Learning to solve Computer Vision problemsStrong communication skills to effectively collaborate with cross-functional teams including both technical and non-technical team membersPreferred Qualifications :
Experience working in medical imagingExperience with multimodal dataExperience with CPU/GPU optimizationFamiliar with AWS ecosystemPublications in top-tier journals and conferencesPerks:
Remote work optionMeaningful equity in healthtech startupOngoing learning and developmentStock options, 401k, medical/dental/vision benefitsUnlimited vacation policy
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Machine Learning Scientist
with at least 5 years of industry experience. You will be responsible for building and maintaining the machine learning models that power Pearl's products. You will be working on both 2-D and 3-D medical imaging problems alongside a team of like-minded engineers in order to improve the performance of our machine learning pipeline and to prototype and deliver CV-driven solutions. This role requires proficiency with Python, Machine Learning, and Statistics. The ideal candidate is rigorously scientific and a savvy engineer.Responsibilities:
Assess and implement methods from relevant literature utilizing open source Vision/Math tools such as Tensorflow and PyTorchCollaborate with cross-functional teams (FullStack, Product) to build products, share learnings, and vice versaBuild upon existing solutions to optimize for performance, reliability, and scalabilityWrite and maintain clean and modular code to deploy in production environmentWork to iteratively improve core model performanceContribute to active research communities through conference/journal publications, meetups, and workshopsMinimum Qualifications:
MS in Computer Vision, Computer Science, Electrical Engineering, Applied Mathematics or Physics, Machine Learning or a related technical field5+ years experience in Computer Vision, Machine Learning, Image AnalysisStrong program fluency in Python or C++ and familiar with LinuxExperience applying Machine Learning to solve Computer Vision problemsStrong communication skills to effectively collaborate with cross-functional teams including both technical and non-technical team membersPreferred Qualifications :
Experience working in medical imagingExperience with multimodal dataExperience with CPU/GPU optimizationFamiliar with AWS ecosystemPublications in top-tier journals and conferencesPerks:
Remote work optionMeaningful equity in healthtech startupOngoing learning and developmentStock options, 401k, medical/dental/vision benefitsUnlimited vacation policy
#J-18808-Ljbffr