Sr. Machine Learning Engineer

hace 2 semanas


Desde casa, Colombia Fusemachines A tiempo completo

About Fusemachines
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.
D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI.

With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 350+ full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.


About the role

Role scope

  • Research, design, and develop machine learning algorithms for computer vision, taking advantage of the unique capabilities of Apple silicon.
  • Collaborate with machine learning engineers and to optimize and finetune machine learning models for efficient execution on Apple silicon architecture.
  • Develop and maintain endtoend pipelines for data collection, preprocessing, training, and deployment of machine learning models.
  • Explore and implement innovative techniques in deep learning, neural networks, and optimization to enhance the performance of computer vision and 3D reconstruction algorithms.

Requirements for the role

  • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • 8+ years experience in Data Scientist or Machine learning.
  • Strong programming skills in languages such as Python, Swift, C, and C++.
  • Handson experience with ML frameworks, such as PyTorch, or Tensorflow
  • Experience with cloud compute environments such as AWS, GCP, Azure
  • Solid understanding of computer vision concepts, 3D geometry, and image processing techniques.
  • Familiar with visionOS
  • Extensive experience in optimizing machine learning models for specialized hardware architectures, particularly Apple silicon.
  • Strong problemsolving skills and attention to detail.
  • Excellent communication skills both written and verbal.
  • Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status._
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