- Ph.D. in computer science with a background both in machine learning and software development.
- Hands-on experience building machine learning models.
- Strong algorithm design and programming skills in Python.
- Knowledge of Pandas, Scikit-Learn, SciPy, NumPy, and TensorFlow.
- Practical experience in running machine learning methods on cloud-hosted GPUs.
- Proven experience solving interesting and meaningful real-world problems using principled techniques and practices.
- A minimum of 5+ years of experience working with data (cleaning, visualization, and modeling) is required.
- Minimum of 5 years of experience in Machine Learning.
- Knowledge of no SQL databases is a plus.
- Understand the medical need, identify the key challenges, formulate the machine learning problem and provide/prototype solutions.
- Collaborate and brainstorm with other team members on advanced solutions for estimating blood pressure.
- Document the technical details of your work.
- Grenoble (38): Reliably commute or planning to relocate before starting work (Preferred)
- Master's (Required)
- English (Required)
Company
Location
Grenoble - France
Job type
Full-Time
Python Job Details
Role: Machine Learning Engineer; Location: HQ in Lausanne, Switzerland; Full-time (100%) employment
The person will report directly to the Head of R&D.
Are you passionate about solving one of the hardest challenges in medicine today with advanced machine learning methods?
Your work can positively impact one-third of the world’s population and directly impact our core business. This is an applied research role – your models will be deployed to our production systems and objectively tested in clinical trials with hundreds of subjects. We have deep and rich datasets, which your passion for statistics and machine learning has the power to unlock.
We are looking for someone with hands-on experience building machine learning models in an academic or industrial setting. You should have a Ph.D. in computer science.
The ideal candidate will have experience in regression and deep learning models, convolutional neural and/or adversarial neural network models.
Qualifications
Responsibilities
Job Type: Full-time
Salary: 60,000.00€ - 130,000.00€ per year
Ability to commute/relocate:
Education:
Language:
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