Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Mid to Senior
Qualifications
Basic Qualifications:Master’s degree in Computer Science, Engineering, or Mathematics.Minimum of 1 year of hands-on experience in developing deep learning solutions for computer vision challenges.At least 1 year of relevant experience in natural language processing (NLP) deep learning solutions.Proficiency in at least one major deep learning framework, with a preference for TensorFlow or PyTorch.Strong programming skills in Python.Solid understanding of computer science fundamentals, including data structures and algorithms.Detail-oriented, organized, and self-motivated with a continuous drive to learn and explore new challenges.Ability to collaborate effectively within teams and communicate complex ideas clearly.Preferred Qualifications:PhD in Computer Science, Engineering, or Mathematics.3+ years of experience in developing deep learning solutions for computer vision.2+ years of experience in NLP deep learning solutions.
About the job
Join our innovative R&D team at VoxelCloud in Los Angeles, CA, where we are dedicated to revolutionizing medical image analysis through cutting-edge deep learning solutions. We are seeking a full-time Machine Learning Engineer to contribute to our model team, focusing on advanced applications in Thorax, Retina, Cardio, and Skin.
Key Responsibilities:
Develop and refine deep learning models for both prototyping and production based on specific product feature requests.
Design, implement, and rigorously test model experiments utilizing leading deep learning frameworks.
Document experimental findings comprehensively, providing summary statistics for peer discussions and reviews via Confluence.
Advise on data collection and annotation processes, collaborating closely with our data management and labeling team.
Write deployment code with a focus on Dockerization, and optimize deployed models for performance and inference speed.
Engage in methodological research in deep learning to facilitate scalable, real-time implementations.
About VoxelCloud
Founded in 2016, VoxelCloud stands at the forefront of artificial intelligence (AI) in medical image analysis, based in Los Angeles, CA. With backing from industry leaders like Sequoia and Tencent, we empower healthcare providers to achieve earlier and more accurate diagnoses, ultimately enhancing clinical decision-making. Discover more about our mission at voxelcloud.ai.
Machine Learning Engineer - Specializing in Computer Vision & NLP
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Mid to Senior
Qualifications
Basic Qualifications:Master’s degree in Computer Science, Engineering, or Mathematics.Minimum of 1 year of hands-on experience in developing deep learning solutions for computer vision challenges.At least 1 year of relevant experience in natural language processing (NLP) deep learning solutions.Proficiency in at least one major deep learning framework, with a preference for TensorFlow or PyTorch.Strong programming skills in Python.Solid understanding of computer science fundamentals, including data structures and algorithms.Detail-oriented, organized, and self-motivated with a continuous drive to learn and explore new challenges.Ability to collaborate effectively within teams and communicate complex ideas clearly.Preferred Qualifications:PhD in Computer Science, Engineering, or Mathematics.3+ years of experience in developing deep learning solutions for computer vision.2+ years of experience in NLP deep learning solutions.
About the job
Join our innovative R&D team at VoxelCloud in Los Angeles, CA, where we are dedicated to revolutionizing medical image analysis through cutting-edge deep learning solutions. We are seeking a full-time Machine Learning Engineer to contribute to our model team, focusing on advanced applications in Thorax, Retina, Cardio, and Skin.
Key Responsibilities:
Develop and refine deep learning models for both prototyping and production based on specific product feature requests.
Design, implement, and rigorously test model experiments utilizing leading deep learning frameworks.
Document experimental findings comprehensively, providing summary statistics for peer discussions and reviews via Confluence.
Advise on data collection and annotation processes, collaborating closely with our data management and labeling team.
Write deployment code with a focus on Dockerization, and optimize deployed models for performance and inference speed.
Engage in methodological research in deep learning to facilitate scalable, real-time implementations.
About VoxelCloud
Founded in 2016, VoxelCloud stands at the forefront of artificial intelligence (AI) in medical image analysis, based in Los Angeles, CA. With backing from industry leaders like Sequoia and Tencent, we empower healthcare providers to achieve earlier and more accurate diagnoses, ultimately enhancing clinical decision-making. Discover more about our mission at voxelcloud.ai.