Machine Learning Engineer II developing machine learning models for Dandy's dental innovation platform. Collaborating with global teams to enhance 3D computer vision capabilities and automate manufacturing processes.
Responsibilities
Build machine learning models to extract structure from unstructured, information-dense 3D scans as well as other sensory data in dentistry
Research SOTA methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks.
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific applications
Develop evaluation methods which allow us to establish confidence in our datasets and models
Implement best practices for our MLOps pipelines
Work closely with product owners on a feature focused team to deliver value quickly to Dandy’s customers
Requirements
2+ years of experience in Machine Learning, or new PhD graduate
Experience in Python
Experience with either PyTorch or Tensorflow
Have immaculate attention to detail and take pride in delivering excellent code and results
Masters or PhD in related field
Experience in SOTA 2D deep learning and/or experience with 3D deep learning is a plus
Experience with 3D geometric Computer Vision is a plus
Intermediate AI/ML Engineer designing and deploying machine learning solutions for video security. Join Solink to transform video security into real - time operational insights in a hybrid work environment.
Senior Machine Learning Engineer for Toyota Connected developing state - of - the - art solutions for in - vehicle Voice Assistants. Collaborating with teams and mentoring junior members to drive innovation in machine learning technology.
MLOps Engineer leading large - scale model deployments and managing CI/CD pipelines in GCP ecosystem. Focus on operational excellence and implementing observability frameworks for AI systems.
Senior Machine Learning Engineer designing AI systems for multi - scale physical technologies at Orbital. Leading high - risk projects with a focus on AI research and engineering excellence.
Machine Learning Engineer at Auror, using data science to reduce retail crime through innovative ML systems. Collaborate with product teams and develop impactful solutions leveraging real - time data.
Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.