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Machine Learning Engineer at VoxelCloud | Los Angeles

VoxelCloud, Inc.Los Angeles
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Basic Qualifications:Master's degree in Computer Science, Engineering, or Mathematics.2-3 years of practical experience in developing deep learning solutions for computer vision applications. Proficient in at least one major deep learning framework, preferably 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 passion for continuous learning and innovation. Ability to collaborate effectively within a team and communicate ideas clearly. Preferred Qualifications:PhD in Computer Science, Engineering, or Mathematics.3-5 years of experience in building advanced deep learning solutions for computer vision. Hands-on experience with leading-edge object detection models (e.g., RetinaNet, Mask RCNN, CenterNet), semantic segmentation (e.g., U-Net, DeepLab), and image classification.

About the job

Join our dynamic R&D team at VoxelCloud, located in the heart of Los Angeles, CA, as we forge innovative advancements in medical imaging technology. Our focus on solutions for disease detection and quantification, risk stratification, image synthesis, and text report mining is at the forefront of healthcare innovation! We are excited to welcome both full-time professionals and interns to contribute to groundbreaking projects.

Your Role:

  • Design and develop deep learning models tailored for prototyping and production, in alignment with product feature requests.
  • Implement and evaluate model experiments using prominent deep learning frameworks.
  • Thoroughly document findings and results, providing comprehensive statistics for peer review and discussion (using Confluence).
  • Collaborate with the data team to enhance data collection and annotation processes for efficient in-house data management.
  • Write and optimize production and deployment code (including dockerization) to ensure the highest performance and inference speed of deployed models.
  • Engage in methodological research within deep learning to enable scalable, real-time implementations.

About VoxelCloud, Inc.

Established in 2016, VoxelCloud, Inc. has emerged as a global leader in AI-driven medical image analysis, based in Los Angeles, California. With strategic backing from Sequoia Capital and Tencent, we empower healthcare providers to deliver timely and accurate diagnoses, ultimately enhancing clinical decision-making and improving patient outcomes. Learn more at voxelcloud.ai.

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