Senior Machine Learning Engineer

2 days ago


Sunnyvale, California, United States Ceribell, Inc Full time
About Ceribell, Inc.

Ceribell is a pioneering medical technology startup that develops innovative solutions for neurological indications. As a senior machine learning engineer on our data science team, you will leverage your expertise in machine learning, signal processing, and time-series analysis to design and develop high-performance classification algorithms.

Responsibilities:
  • Develop and implement machine learning models using Python, Matlab, R, or similar programming languages.
  • Work closely with cross-functional teams to integrate algorithms and models into our product offerings.
  • Analyze data to identify trends and patterns, and provide actionable insights to inform business decisions.
  • Stay current with the latest advancements in machine learning, signal processing, and time-series analysis to continually improve our algorithms and models.
Requirements:
  • PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines.
  • 3+ years of industry experience in signal processing, statistical data analysis, pattern recognition, machine learning, and algorithm development.
  • Expertise in Python, Matlab, R, or similar programming languages.
  • A strong passion for biomedical applications and a desire to make a meaningful impact in the field of neurodiagnostics.
Benefits and Compensation

The salary range for this position is $175,000-$185,000 USD per year, including an annual bonus opportunity and Ceribell equity. Enjoy comprehensive benefits, including 100% employer-paid health benefits, 50%-70% employer-paid health, dental, and vision benefits for dependents, and a generous parental leave policy.



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