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Staff Machine Learning Engineer
| Company | Ceribell |
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| Location | Sunnyvale, CA, USA |
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| Salary | $155000 – $205000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Mid Level, Senior |
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Requirements
- Bachelor’s degree in Computer Science, Applied Mathematics, Electrical Engineering, or equivalent disciplines
- Strong machine learning and deep learning fundamentals
- 3+/5+ Years of industry machine learning experience
- Strong programming skills in Python
- Production experience using machine learning tools (Torch, TensorFlow, scikit-learn) and versioning (Git, CI/CD)
- Prior experience with signal processing techniques (filtering, aliasing, wavelets)
Responsibilities
- Research and development of machine learning algorithms for neuro-diagnostics using EEG and other biosensors
- Maintain and improve software pipelines for training and inference
- Lead the transition of prototype machine-learning algorithms to robust, scalable real-time deployments
- Participate in publications, clinical research and regulatory submissions
- Collaborate with engineers on the team through code and design reviews
- Communicate effectively with stakeholders within and outside the team
Preferred Qualifications
- Master’s degree in Computer Science, Applied Mathematics, Electrical Engineering, or equivalent disciplines AND 3+/5+ years of machine learning experience
- Experience with machine learning management frameworks like MLflow, AirFlow, tensorboard, etc.
- Prior experience with cloud platforms (AWS, GCP, Azure etc.) and tools (Kubernetes, Docker etc.)
- Prior experience with SQL
