Machine Learning Engineer

1 day ago


San Jose, California, United States mendel Full time
Transforming Healthcare with AI

Mendel is at the forefront of harnessing artificial intelligence to revolutionize healthcare. As a Senior Machine Learning Engineer, you will play a crucial role in designing, developing, and deploying machine learning models that enhance our AI-powered clinical intelligence platform.

About the Role

In this position, you will work closely with researchers, engineers, and clinical experts to create innovative solutions that drive our mission forward. Your primary responsibilities will include:

  • Developing and implementing scalable and reliable AI and machine learning models and algorithms.
  • Enabling research and AI development to accelerate overall product development.
  • Designing and building services, tools, and platforms to support growth.
  • Collaborating with engineering, AI, and clinical experts to understand the intricacies of healthcare data and refine model performance.
  • Designing and executing experiments to test the efficacy of new models and algorithms.
Key Responsibilities

Your key responsibilities as a Senior Machine Learning Engineer will include:

  • Deploying and maintaining machine learning and AI models in a production environment, ensuring scalability and reliability.
  • Continuously monitoring and optimizing the performance of deployed models.
  • Staying updated with the latest advancements in machine learning and AI, and incorporating new techniques and tools as appropriate.
  • Participating in code reviews and contributing to developing best practices for machine learning at Mendel.
Requirements

To be successful in this role, you will need:

  • A Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.
  • Minimum of 5 years of experience in building AI/ML training and inference pipelines using MLFlow, Kubeflow in GCP, AWS, and/or Azure.
  • Proven experience in developing and deploying machine learning models.
  • Proficiency in programming languages such as Python, R, or Java.
  • Proven experience in ML, AI algorithms, model tuning, and optimization.
  • Strong understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Proficiency in cloud infrastructure is a plus.
  • Familiarity with healthcare data and clinical expertise is a plus.
Compensation and Benefits

The estimated salary for this position is $185,000 per year, based on industry standards and the location of the role. In addition to competitive compensation, Mendel offers comprehensive benefits, including health insurance, retirement plans, and paid time off.



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