machine learning and learning scientist

Description de l'offre

Machine Learning and Deep Learning Scientist.

For more than a century,  L’Oréal has devoted itself solely to one business: beauty . It is a business rich in meaning, as it enables all individuals to express their personalities, gain self-confidence and open up to others. From make-up to hair color, from hair care to skincare and fragrances, our products magnify, beautify, soothe, moisturize, strengthen, rejuvenate... Regardless of a person’s age, origin or personality, above all and before all, they enable her or him to care for what is certainly most precious to each man and each woman – and most fragile: the face, the skin, the body… in a word:  caring for oneself.

Our research budget reached  €794 million in 2015 , which represents 3.1% of turnover.

In the last 10 years, our Research budget has increased more rapidly than the Group's sales.

More than 490 patents were registered in 2015. Our workforce consists of 3800 employees, representing about sixty nationalities and thirty different scientific backgrounds (chemistry, physics, biology, dermatology, optics, rheology, IT, statistics, analysis, etc.).

As a scientist specialized in machine learning and deep learning, you will join our Tech Lab to reinvent our Research & Innovation and the world of beauty thanks to artificial intelligence. As a member of the AI Research team, composed of 10 scientists specialized in the fields of Machine Learning, Deep Learning and Computer Vision, you will design and implement predictive models for computer vision. The role will involve collaboration with our optics experts team, in charge of devices design and data acquisition. The project consists in understanding deeply hair pictures, in the process of designing an advanced hair diagnosis tool. This includes analyzing, structuring, and extracting features from such pictures within accuracy and computational time constraints. You will benefit from our bleeding edge computing resources, with Linux servers and multiples GPUs.

MAIN MISSIONS

·         Develop, implement and industrialize artificial intelligence models in response to our innovation issues , with regards of real-world constraints and objectives,

·         Find, extract, retrieve, organize and structure data, coming from heterogeneous sources,

·         Develop and evaluate models in multiple environments: cloud server, GPU, embedded on device,

·         Push your models into production, in coordination with IT team,

·         Working in our environment: Gitlab, Docker, Linux (Ubuntu/CentOS)

·         Communicate in order to contribute to the influence of our activity (internally and externally),

·         Publish scientific articles or patents,

·         Take part in conferences.

PROFILE

Essential skills

·         At least 1-3 years of experience in the field of Machine Learning and/or Computer Vision

·         You have a degree (Master, Engineering school, PhD) in one of the following disciplines: statistics, probability, optimization, linear algebra

·         You have a broad experience with machine learning, and deep learning in particular (CNN, RNN, LSTM, Auto-Encoder, GAN, etc.). Ideally, you are also experienced in one or more of the following areas: reinforcement learning, computer vision, image processing, picture segmentation

·         You have a good command in our Python stack: Scikit-Learn, Keras, PyTorch, Tensor Flow, Numpy, Pandas, etc.

Important skills

·         You can easily combine mathematical modeling and software development.

·         You have redeveloped and/or improved standard models.

·         You feel confident in working on Linux, including basic shell commands.

·         You have an entrepreneurial spirit and drive your projects to their completion.

·         You are pragmatic and your choices are determined by the satisfaction of the user’s needs.

·         You can manage priorities.

·         You speak English well.

Who are you?

·         An enthusiastic, curious, creative person, who is always on the lookout for new technologies and methodologies.

·         You want to develop and enrich your expertise through teamwork.

·         You have already taken part in kaggle or hackathon challenges.

·         Your last project is on github. You have taken part in free software projects.

·         You like bringing your ideas face to face with a challenging environment.

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MAIN MISSIONS

·         Develop, implement and industrialize artificial intelligence models in response to our innovation issues , with regards of real-world constraints and objectives,

·         Find, extract, retrieve, organize and structure data, coming from heterogeneous sources,

·         Develop and evaluate models in multiple environments: cloud server, GPU, embedded on device,

·         Push your models into production, in coordination with IT team,

·         Working in our environment: Gitlab, Docker, Linux (Ubuntu/CentOS)

·         Communicate in order to contribute to the influence of our activity (internally and externally),

·         Publish scientific articles or patents,

·         Take part in conferences.

PROFILE

Essential skills

·         At least 1-3 years of experience in the field of Machine Learning and/or Computer Vision

·         You have a degree (Master, Engineering school, PhD) in one of the following disciplines: statistics, probability, optimization, linear algebra

·         You have a broad experience with machine learning, and deep learning in particular (CNN, RNN, LSTM, Auto-Encoder, GAN, etc.). Ideally, you are also experienced in one or more of the following areas: reinforcement learning, computer vision, image processing, picture segmentation

·         You have a good command in our Python stack: Scikit-Learn, Keras, PyTorch, Tensor Flow, Numpy, Pandas, etc.

Important skills

·         You can easily combine mathematical modeling and software development.

·         You have redeveloped and/or improved standard models.

·         You feel confident in working on Linux, including basic shell commands.

·         You have an entrepreneurial spirit and drive your projects to their completion.

·         You are pragmatic and your choices are determined by the satisfaction of the user’s needs.

·         You can manage priorities.

·         You speak English well.

Who are you?

·         An enthusiastic, curious, creative person, who is always on the lookout for new technologies and methodologies.

·         You want to develop and enrich your expertise through teamwork.

·         You have already taken part in kaggle or hackathon challenges.

·         Your last project is on github. You have taken part in free software projects.

·         You like bringing your ideas face to face with a challenging environment.

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You have a broad experience with machine learning, and deep learning in particular CNN, RNN, LSTM, Auto-Encoder...","dateCreated":"2018-12-18T14:05:09.620000","cityStateCountry":"France","ml_jobExperience":null,"brands":"Multi-Brands","frApplyUrl":"http://career.loreal.com/FR/login?jobId=52437","parentRefNum":"LOREUS","ml_skilled_jd":" machine_learning and deep_learning scientist . for more than a century, l’oréal has devoted itself solely to one business . beauty. it is a business rich in meaning, as it enables all individuals to express.js their personalities, gain self-confidence and open up to others. from make-up to hair_coloring from hair_care to skincare and fragrances, our products magnify, beautify, soothe, moisturize, strengthen, rejuvenate . regardless of a person’s age, origin or personality, above all and before all, they enable her or him to care for what is certainly most precious to each master_of_arts_in_nursing and each woman – and most fragile . the fellow_of_the_american_college_of_endocrinology the skin, the body… in a microsoft_word . caring for oneself . our research budget reached €794 million in 2015, which represents 3. 1 of turnover . in the last 10 years, our research budget has increased more rapidly than the group's sales . more than 490 patents were registered in 2015. our workforce consists of 3800 employees, representing about sixty nationalities and thirty different scientific backgrounds chemistry physics biology dermatology optics, rheology it, statistics, analysis, etc . as a scientist specialized in machine_learning and deep_learning you will join our tech lab to reinvent our research & innovation and the world of beauty thanks to artificial_intelligence_(ai) as a member of the artificial_intelligence_(ai) research team, composed of 10 scientists specialized in the fields of machine_learning deep_learning and computer_vision you will design and implement predictive models for computer_vision the role will involve collaboration with our optics experts team, in charge of devices design and data acquisition. the project consists in understanding deeply hair pictures, in the process of designing an advanced hair diagnosis tool. this includes analyzing structuring, and extracting features from such pictures within accuracy and computational time_constraints you will benefit from our bleeding edge computing resources, with linux servers and multiples gpus . main missions . develop, implement and industrialize artificial_intelligence_(ai) models in response to our innovation issues, with regards of real-world constraints and objectives,. find, extract, retrieve, organize and structure data, coming from heterogeneous sources,. develop and evaluate models in multiple environments . cloud server, gpu embedded_system on device,. push your models into production, in coordination with it team,. working in our environment . gitlab, docker linux ubuntu/centos . communicate in order to contribute to the influence of our activity internally and externally ,. publish scientific articles or patents,. take part in conferences . profile . essential skills . at least 1-3 years of experience in the field of machine_learning and/or computer_vision you have a degree master, engineering school, doctor_of_philosophy in one of the following disciplines . statistics, probability, optimization, linear algebra. you have a broad experience with machine_learning and deep_learning in particular cnn rnn lstm, auto-encoder, gan, etc . ideally, you are also experienced in one or more of the following areas . reinforcement_learning computer_vision image_processing picture segmentation. you have a good command in our python stack . scikit-learn keras pytorch, tensor flow, numpy pandas etc . important skills . you can easily combine mathematical_modeling and software_development . you have redeveloped and/or improved standard models . you feel confident in working on linux including basic shell_script commands . you have an entrepreneurial_spirit and drive your projects to their completion . you are pragmatics and your choices are determination by the satisfaction of the user’s needs . you can manage priorities . you speak english well . who are you . an enthusiastic curiosity creative person, who is always on the lookout for new technologies and methodologies . you want to develop and enrich your expertise through teamwork . you have already taken part in kaggle or hackathon challenges . your last project is on github. you have taken part in free software_projects . you like bringing your ideas fellow_of_the_american_college_of_endocrinology to fellow_of_the_american_college_of_endocrinology with a challenging_environment . ","applyUrl":"http://career.loreal.com/careers/login?jobId=52437","ml_filtered_Skills":null,"jobUniqueIdentifierValue":"52437###en_GLOBAL","location":"ILE DE FRANCE (except Paris)","cityCountry":"France","category":"Research & Innovation","mapQueryLocation":"ILE DE FRANCE (except Paris)","ml_Description":"Machine Learning and Deep Learning Scientist . For more than a century, L’Oréal has devoted itself solely to one business . beauty. It is a business rich in meaning, as it enables all individuals to express their personalities, gain self-confidence and open up to others. From make-up to hair color, from hair care to skincare and fragrances, our products magnify, beautify, soothe, moisturize, strengthen, rejuvenate . Regardless of a person’s age, origin or personality, above all and before all, they enable her or him to care for what is certainly most precious to each man and each woman – and most fragile . the face, the skin, the body… in a word . caring for oneself . Our research budget reached €794 million in 2015, which represents 3. 1 of turnover . In the last 10 years, our Research budget has increased more rapidly than the Group's sales . More than 490 patents were registered in 2015. Our workforce consists of 3800 employees, representing about sixty nationalities and thirty different scientific backgrounds chemistry, physics, biology, dermatology, optics, rheology, IT, statistics, analysis, etc . As a scientist specialized in machine learning and deep learning, you will join our Tech Lab to reinvent our Research & Innovation and the world of beauty thanks to artificial intelligence. As a member of the AI Research team, composed of 10 scientists specialized in the fields of Machine Learning, Deep Learning and Computer Vision, you will design and implement predictive models for computer vision. The role will involve collaboration with our optics experts team, in charge of devices design and data acquisition. The project consists in understanding deeply hair pictures, in the process of designing an advanced hair diagnosis tool. This includes analyzing, structuring, and extracting features from such pictures within accuracy and computational time constraints. You will benefit from our bleeding edge computing resources, with Linux servers and multiples GPUs . MAIN MISSIONS . Develop, implement and industrialize artificial intelligence models in response to our innovation issues, with regards of real-world constraints and objectives,. Find, extract, retrieve, organize and structure data, coming from heterogeneous sources,. Develop and evaluate models in multiple environments . cloud server, GPU, embedded on device,. Push your models into production, in coordination with IT team,. Working in our environment . Gitlab, Docker, Linux Ubuntu/CentOS . Communicate in order to contribute to the influence of our activity internally and externally ,. Publish scientific articles or patents,. Take part in conferences . PROFILE . Essential skills . At least 1-3 years of experience in the field of Machine Learning and/or Computer Vision. You have a degree Master, Engineering school, PhD in one of the following disciplines . statistics, probability, optimization, linear algebra. You have a broad experience with machine learning, and deep learning in particular CNN, RNN, LSTM, Auto-Encoder, GAN, etc . Ideally, you are also experienced in one or more of the following areas . reinforcement learning, computer vision, image processing, picture segmentation. You have a good command in our Python stack . Scikit-Learn, Keras, PyTorch, Tensor Flow, Numpy, Pandas, etc . Important skills . You can easily combine mathematical modeling and software development . You have redeveloped and/or improved standard models . You feel confident in working on Linux, including basic shell commands . You have an entrepreneurial spirit and drive your projects to their completion . You are pragmatic and your choices are determined by the satisfaction of the user’s needs . You can manage priorities . You speak English well . Who are you . An enthusiastic, curious, creative person, who is always on the lookout for new technologies and methodologies . You want to develop and enrich your expertise through teamwork . You have already taken part in kaggle or hackathon challenges . Your last project is on github. You have taken part in free software projects . You like bringing your ideas face to face with a challenging environment .