Senior Machine Learning Engineer
2 days ago
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.
- 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.
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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