Функция: Отдел исследований

Тип занятости: Полный рабочий день

Место расположения: California - San Francisco

Страна: USA

Scientist/Sr. Scientist-Machine Learning-Tech Incubator, San Francisco, CA

L’Oréal’s Tech Incubator is a division within the company’s Research and Innovation arm dedicated to uncovering disruptive innovations to bring tech and beauty together.

We partner with entrepreneurs, academic institutions and experts across a diverse array of disciplines to unearth breakthrough research and first-to market technologies. By venturing into the fields of augmented reality, wearables, connected objects, customized beauty, and 3D bioprinting, L’Oréal is pushing the boundaries of what a beauty company can be and the value we can bring to our consumers and partners.

Designed as a startup within L’Oréal, the Incubator team is an assemblage of entrepreneurial scientists and engineers organized worldwide in California, NY/NJ, France and Japan.

Job Summary:

We are seeking Machine Learning Scientists to join our expanding Silicon Valley team.   You’ll develop and implement machine learning models to provide automation of clinical tasks (i.e. image classification) for telemedicine. You’ll apply statistical analysis, modeling, and predictive analytics to biological data to enable the discovery of new insights and opportunities. Collaborate with cross-functional teams to design and build new platforms for creating and (meta-) analyzing biological datasets. If you have a passion for deep learning and fascination with data, join us in bringing our vision to life!

Here’s what you’ll need:

  • PhD (up to 3 years’ experience), MS (up to 5 years’ experience) or BS (up to 8 years’ experience) in computer science, bioinformatics, statistics, engineering, mathematics, or a related field.
  • Strong working knowledge of predictive analytics & machine learning.
  • Experience with image analysis leveraging deep learning methodologies.
  • Familiarity with modern ML and Deep Learning frameworks (at least one, the more the better): Caffe, TensorFlow, Torch, scikit.
  • Familiarity with Apache Spark and Apache Hadoop, or other parallel programming frameworks.
  • Strong working knowledge of statistics.
  • Experience working with large structured and unstructured data.
  • Strong coding experience (i.e. Python, R).
  • Experience with biological data sets (genomic, transcriptomic, microbiome, etc.)
Other qualities:
  • Excellent written communication, verbal communication and presentation skills.
  • Ability to work independently and execute on projects with minimal guidance.


We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.
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