To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategoryProducts and TechnologyJob Details Team Overview Salesforce's Office of Ethical and Humane Use is looking for an experienced data scientist and/or practitioner in the area of fairness, accountability, transparency, and explainability (FATE). Working with the Ethical AI, Einstein, and Salesforce AI Research teams, they will conduct research that informs the creation of bias and fairness AI tooling. The Role The ideal candidate is well-versed in using a variety of machine learning techniques to provide actionable insights and enthusiastic about providing technical and scientific leadership to teams of scientists and engineers building tools to develop fair, accountable, transparent, and explainable (FATE) AI. This thought leader will support our culture of being proactive, thoughtful, and knowledgeable about our AI products. This person will also focus on our customers and their customers while upholding our company values: trust, customer success, equality, and innovation. Job Responsibilities: Partner with the Salesforce AI Research Science team to identify and remediate potential bias in data and models, by identifying types of bias for which to test in varying data types and models. Make recommendations on approaches for maximizing fairness, tooling needs, and safe thresholds for launch Write code for libraries and tools that perform testing and evaluation Assist product teams in developing features that deliver model explainability and transparency to our customers Collaborate with industry leaders in similar positions in peer organizations on ways to improve the state of responsible AI development Communicate at conferences, meetings, events, meet-ups, and online via blogs and social conversations, and as appropriate, publish papers in peer-reviewed conferences and journals Job Requirements/Required Skills Practical experience in machine learning MS or Ph.D. in a quantitative discipline with 5+ years of experience or a BS in a quantitative discipline with 7+ years of experience. Fluent in building/prototyping machine learning models and algorithms and wrangling large datasets. Knowledgeable about standard machine learning approaches (Regression, Cross-Validation, Boosting, Matrix-Factorization, Decision Trees, Clustering, CNNs, RNNs, Transformers, GANs). Proficient in using Python and common machine learning frameworks (e.g., TensorFlow, Pandas, PyTorch, SciPy, scikit-learn, JAX) to implement models and algorithms. Proficient in SQL, shell scripting, and Unix/Linux command-line tools. Grasp of the evolving understanding of fairness and ability to meet both state-of-the-art and global standards for fairness evaluation. Experience working across teams of engineers, data scientists, and researchers. Strong communication skills. Comfortable presenting ideas to diverse teams and individuals in multiple formats, from slide decks to informal chats. Earns trust in relationships both internally and externally, and at all levels of the organization. Challenges the status quo to improve the productivity, effectiveness, and culture of a team - without burning bridges. Ability to creatively prioritize, stage, and sequence solutions to challenging/complex problems. Desired Skills 10+ years business experience Demonstrated experience with actually shipping code, getting data science into production Experience with designing and building micro-services, familiar with Kubernetes/containerization/RESTful API/gRPC, etc. Experience building and training various deep learning algorithms from scratch Strong experience leading multi-disciplinary teams driving significant business results Passion for the idea that technology can be a force for social good and for ethics and fairness. Ability to stay abreast of the latest findings in the field, new technologies, and best practices Knowledge of enterprise SaaS space Presented a paper at NeurIPS, FAccT, AIES, or similar conferences Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. 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