Machine Learning Engineer - Computer Vision & NLP

VoxelCloud; Los Angeles (CA); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision coverage

401k

Paid vacation and holidays

Job summary

VoxelCloud, a Los Angeles-based AI company, is hiring a full-time ML engineer to join our model team in LA. You will develop deep learning models for prototyping and production, focusing on medical imaging and NLP tasks.

You will design experiments, document results, and collaborate with data teams to improve data collection and labeling. Proficiency in Python and frameworks like TensorFlow or PyTorch is required; PhD is a plus.

Qualifications

• MS degree in computer science, engineering, or mathematics.
• 1+ years of relevant experience in building deep learning solutions for computer vision.
• 1+ years of relevant experience in building deep learning solutions for NLP problems.
• Proficient with TensorFlow or PyTorch.
• Proficient in Python.
• Strong CS fundamentals in data structures and algorithms.
• Detail-oriented, well organized and self-motivated with a drive to learn and be challenged.

Responsibilities

• Develop deep learning models for prototyping and production purposes according to product feature request.
• Design, implement and test model experiments using major deep learning frameworks.
• Document experiments findings and results with supporting statistics for peer discussion and review (Confluence).
• Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labeling.
• Write production and deployment code (dockerization), iterate deployed models for optimal performance and inference speed.
• Conduct methodology research in deep learning to drive scalable, real-time implementation.

Skills

Python

TensorFlow

PyTorch

Deep learning

NLP

Team collaboration

Confluence

Education

MS in computer science, engineering, or mathematics

PhD in computer science, engineering, or mathematics

Tools

Confluence

Job description

• Full-time

Company Description

Founded in 2016, VoxelCloudis a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis ofmedical images. Backed bySequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions.http://www.voxelcloud.ai

Job Description

The R&D team (located in Los Angeles, CA) is involved with creating innovative solutions using deep learningtailored to the needs of the product lines (Thorax/Retina/Cardio/Skin). We are currently hiring a full-time engineerto join our model team.

Responsibilities:

• Developdeep learning models for prototyping and production purposes according to product feature request
• Design, implement and testmodel experiments using major deep learning frameworks
• Document experiments findings and results withsupporting summary statisticsfor peer discussion and review (Confluence)
• Provide insights to data collection and annotation and collaborate with the data team for in-house data management and labelling
• Write production and deployment code (dockerization), iterate deployedmodels for optimal performance and inference speed
• Conduct methodology research in deep learning to drive scalable, real-time implementation

Qualifications

Basic Qualifications

• MS degree in computer science, engineering, or mathematics
• 1+ years of relevant experience in building deep learning solutions for computer vision problems
• 1+ years of relevant experience in building deep learning solutions for NLP problems
• Proficient with at least one major deep learning framework, preferablyTensorFlow/Pytorch
• Proficient in Python
• Good CS fundamentals in data structures and algorithm
• Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged
• Work well in teams and communicateideas clearly

Preferred Qualifications

• PhD degree in computer science, engineering, or mathematics
• 3+ years of relevant experience in building deep learning solutions for computer vision problems
• 2+ years of relevant experience in building deep learning solutions for NLP problems
• Hands-on experience with Transformers, Bert, and other advanced NLP models
• Hands-on experience with state-of-the-art object detection, semantic segmentation, and image classification models
• Track record of publications in CV and NLP is a plus
• Hands-on experience with model optimization (e.g., network quantization and half-precision training) is a plus
• Prior experience with medial images is a plus
• Prior experience with medial report mining is a BIG plus

Additional Information

• Transparent, collaborative work environment;
• Competitive compensation
• Excellent Medical, Dental, and Vision coverage
• 401k, paid Vacation and Holiday

All your information will be kept confidential according to EEO guidelines.