Responsible Machine Learning Data Science Engineer

Join Salesforce as a Responsible Machine Learning Data Science Engineer

About the Role

Salesforce's Office of Ethical and Humane Use is seeking an experienced Machine Learning Data Scientist with a focus on responsible AI. This role involves collaborating with the Einstein product and engineering teams, AI Frontier, and Salesforce AI Research teams to support the development of foundation and predictive models. The goal is to ensure these models are built and deployed in alignment with OEHU’s guidelines and policies.

Key Responsibilities

• Collaboration: Partner with the Salesforce AI Research Science team and distributed Data Science and Engineering teams to measure and remediate potential bias in data and models.
• Data Management: Build datasets for testing models, both generative and predictive, in collaboration with partner teams.
• Technical Leadership: Participate in technical discussions and drive engineering investments in responsible AI to improve model fairness and safety prior to launch.
• Tool Development: Create notebooks using SQL or Python, and other tools, to empower other members of OEHU with advanced analytics capabilities.
• Evaluation and Analysis: Develop quantitative metrics to help surface insights from structured datasets and plan and conduct end-to-end experiments and analyses.
• Monitoring: Monitor and analyze logs data for harms/threats and insights.
• Collaboration with Industry Leaders: Collaborate with industry leaders in similar positions in peer organizations on ways to improve the state of responsible AI development.

Required Skills and Experience

• Education: MS in a quantitative discipline with 8+ years of experience.
• Technical Proficiency: Fluent in building/prototyping machine learning models and algorithms and wrangling large datasets.
• Machine Learning Knowledge: Knowledgeable about standard machine learning approaches such as Regression, Cross-Validation, Boosting, Matrix-Factorization, Decision Trees, Clustering, CNNs, RNNs, Transformers, GANs.
• Programming Skills: Proficient in Python and common machine learning frameworks (e.g., TensorFlow, Pandas, PyTorch, SciPy, scikit-learn, JAX).
• Data Management: Proficient in SQL, shell scripting, and Unix/Linux command-line tools.
• Microservices and APIs: Experience with designing and building micro-services, familiar with Kubernetes/containerization/RESTful API/gRPC.
• Communication: Strong communication skills, comfortable presenting ideas to diverse teams and individuals in multiple formats.

Desired Skills

• Experience with bringing data science solutions from problem identification to production.
• 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.

Benefits

Salesforce offers a range of inclusive benefits, including equal pay, employee resource groups, and more. We are committed to creating a workforce that reflects society through inclusive programs and initiatives.

Location

This position is based in Melbourne, Victoria, Australia, with a hybrid work environment allowing for both on-site and off-site work.

About Salesforce

Salesforce is the Customer Company, inspiring the future of business with AI+ Data +CRM. We lead with our core values, helping companies across every industry blaze new trails and connect with customers in a whole new way. Join us to be a Trailblazer, driving your performance and career growth, and improving the state of the world.