Staff ML Engineer

Samsung develops innovative digital health products and solutions using wearables, smartphones, and AI to empower healthier lives.
$170,700 - $234,400
Machine Learning
Staff Software Engineer
In-Person
5+ years of experience
AI · Healthcare

Description For Staff ML Engineer

Samsung Research America is seeking a Staff ML Engineer to join their Digital Health Team, focusing on innovative healthcare solutions through AI and machine learning technologies. This role presents an exciting opportunity to work at the intersection of digital health and cutting-edge AI technology.

The position involves developing and implementing GenAI/LLM applications that will directly impact millions of Samsung users worldwide through products like Samsung HeartWise and Samsung ECG Monitor App. As a Staff ML Engineer, you'll be working with state-of-the-art technologies in LLMs, MLOps, and machine learning, while applying these innovations to solve real-world healthcare challenges.

The role requires a strong background in ML/AI/Generative AI with proven experience in building and scaling ML pipelines. You'll be responsible for architecting cloud infrastructure, developing data pipelines, and optimizing GenAI/LLM applications. The position offers the unique opportunity to work with Samsung's vast consumer electronics ecosystem while focusing on digital health innovations.

The ideal candidate will have at least 5 years of hands-on industry experience, strong technical skills in machine learning tools and frameworks, and experience with cloud platforms. You'll be working in a collaborative environment, interfacing with cross-functional teams to drive product development and innovation.

Samsung offers a competitive compensation package with a base salary range of $170,700 to $234,400 USD, plus annual bonus eligibility. This is an excellent opportunity for someone passionate about using AI technology to improve healthcare outcomes while working for a global technology leader. The position is based in-person and offers the chance to work on projects that will significantly impact real-world patients, seniors, physicians, and caregivers.

Last updated 21 hours ago

Responsibilities For Staff ML Engineer

  • Architect, develop and maintain cloud infrastructure and data pipeline for scalable service launch
  • Build, scale, and optimize GenAI/LLM applications and apply MLOps to productionize workloads
  • Prepare proof-of-concept, demos/prototypes, design and execute pilot studies using Generative AI and LLMs
  • Work on dataset/document preparation, prompt engineering, customization, training, fine-tuning and deployment of healthcare LLMs
  • Collaborate cross-functionally with product and engineering teams to define priorities and influence product roadmap

Requirements For Staff ML Engineer

Python
  • Graduate degree (MS or Ph.D) in Computer Science, Computer Engineering, Electrical Engineering, or related field
  • Experience building and deploying scalable GenAI/LLM applications using VertexAI, HuggingFace, Langchain and OpenAI
  • 5+ years of hands-on industry data science experience with pandas, scikit-learn, and TensorFlow/PyTorch
  • Experience building and deploying production-grade ML applications on AWS/Azure/GCP
  • Experience working or leading DevOps team members
  • Strong interpersonal and collaboration skills

Benefits For Staff ML Engineer

  • Comprehensive compensation package
  • Annual bonus eligibility

Interested in this job?

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