Internship: R&D AI fairness intervention based on AI explainability F/M Emploi Plein temps
il y a 3 mois - Training - MouginsDétails de l'annonce
Description complète du poste
We help the world run better
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.Apply now!
What you'll do
Context: As AI systems become more prelavent in our daily lives, it is essential to ensure that these systems are fair, transparent, ethical. However, AI models are susceptible to unfair bias, whose sources could be multiple. Therefore, we are seeking to gain a deeper understanding of the AI model and how unfair bias may be present and perpetuated in the final decision.
The objective of this internship is to identify and mitigate unfair bias in AI models by using AI explainability, particularly feature importance (SHAP, LIME,…).
In this role:
You will design baseline AI models on benchmarks datasets and identify potential sources of unfair bias.
You will then work to mitigate the bias by experimenting with various AI explainability techniques.
You will also use statistical analysis and experimental design to analyze model performance and identify areas for improvement in terms of utility-fairness tradeoff.
As part of the internship, you may also be expected to write a report documenting your findings and deliver clear and commented code for future reference.
What you bring
University level: Last year of MSc, or beyond, in Computer Science, Data Science or related field,
Strong programming skills in Python,
Experience with Machine Learning libraries such as scikit-learn, Pytorch or TensorFlow,
Familiarity with AI explainability techniques such as SHAP, LIME,
Familiarity with academic research is a plus,
Fluency in English (working language), good oral and written communication skills.
Internship of 4-6 months
Start date: as soon as possible
Meet your team
This internship is based in the SAP Labs France, in Sophia-Antipolis. The work will be conducted under the SAP Security Research program, with the Trustworthy AI team that focuses on developing AI solutions that are private, fair and transparent.
We build breakthroughs together
SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 366045 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Intern | Additional Locations: #LI-Hybrid.
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.Apply now!
What you'll do
Context: As AI systems become more prelavent in our daily lives, it is essential to ensure that these systems are fair, transparent, ethical. However, AI models are susceptible to unfair bias, whose sources could be multiple. Therefore, we are seeking to gain a deeper understanding of the AI model and how unfair bias may be present and perpetuated in the final decision.
The objective of this internship is to identify and mitigate unfair bias in AI models by using AI explainability, particularly feature importance (SHAP, LIME,…).
In this role:
You will design baseline AI models on benchmarks datasets and identify potential sources of unfair bias.
You will then work to mitigate the bias by experimenting with various AI explainability techniques.
You will also use statistical analysis and experimental design to analyze model performance and identify areas for improvement in terms of utility-fairness tradeoff.
As part of the internship, you may also be expected to write a report documenting your findings and deliver clear and commented code for future reference.
What you bring
University level: Last year of MSc, or beyond, in Computer Science, Data Science or related field,
Strong programming skills in Python,
Experience with Machine Learning libraries such as scikit-learn, Pytorch or TensorFlow,
Familiarity with AI explainability techniques such as SHAP, LIME,
Familiarity with academic research is a plus,
Fluency in English (working language), good oral and written communication skills.
Internship of 4-6 months
Start date: as soon as possible
Meet your team
This internship is based in the SAP Labs France, in Sophia-Antipolis. The work will be conducted under the SAP Security Research program, with the Trustworthy AI team that focuses on developing AI solutions that are private, fair and transparent.
We build breakthroughs together
SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 366045 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Intern | Additional Locations: #LI-Hybrid.
