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Senior Machine Learning Engineer - Remote

Posted Yesterday
Software Development
Full Time
Worldwide

Overview

RepeatMD is a leading B2B SaaS company in the Aesthetics and Wellness Industry, looking for a Senior Machine Learning Engineer to help build AI-powered facial analysis and rejuvenation previews.

In Short

  • Design and optimize computer vision models for aesthetic treatments.
  • Work closely with product, design, and medical experts.
  • Evaluate and benchmark state-of-the-art models.
  • Develop generative models ensuring realism and clinical credibility.
  • Design inference pipelines optimized for low latency.
  • Implement quality-control systems for generated images.
  • Package models for deployment at scale.
  • Collaborate with cross-functional teams on accuracy and safety goals.
  • Mentor junior engineers.
  • Maintain high model performance and system reliability.

Requirements

  • Master's/PhD in Computer Science or related field.
  • 5+ years of experience in applied ML, especially in computer vision.
  • Strong background in generative models and model optimization.
  • Proficient in Python and ML frameworks like PyTorch/TensorFlow.
  • Experience deploying ML models at scale in cloud environments.
  • Ability to balance speed, accuracy, and cost in deployments.
  • Comfort with .NET and React stack integration.

Benefits

  • Opportunity to lead ML architecture for a cutting-edge product.
  • Access to modern compute resources and datasets.
  • Comprehensive medical, dental, and vision benefits.
  • Stock options.
  • Parental leave policies.
  • Annual performance reviews and professional development budget.
  • Flexible working arrangements and collaborative culture.

RepeatMD

RepeatMD

RepeatMD is a leading B2B SaaS company in the Aesthetics and Wellness Industry, dedicated to transforming client experiences through innovative technology. With a user base of 1.5 million and over $1 billion in revenue, RepeatMD serves more than 3,000 clients across all 50 states and is poised for global expansion following a successful Series A funding round. The company is committed to creating scalable, efficient processes that enhance client satisfaction and retention, making it an exciting place for passionate professionals to contribute to its mission.

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