Sr. Data Scientist, AI/ML (Enterprise Security)

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About Salesforce

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

We are seeking highly skilled AI Software Engineers to join our team in developing a cutting-edge AI platform for Enterprise IAM Security. The ideal candidate will have a strong foundation in machine learning, deep learning, and software engineering, with a passion for building scalable and secure AI-driven solutions.

In this role, you will:

Develop and optimize state-of-the-art AI models to enhance enterprise security.
Design and scale AI infrastructure for high-performance and efficiency.
Collaborate with cross-functional teams to drive innovation and deliver impactful solutions.
If you are excited about pushing the boundaries of AI in security and working with advanced technologies, we encourage you to apply!

Responsibilities:

• Analyze large-scale datasets to identify trends, opportunities, and challenges in AI-powered tools and features.

• Develop, optimize, and test machine learning models (predictive, generative, NLP) using cloud platforms such as Salesforce Cloud and AWS SageMaker.

• Build and curate datasets for testing both generative and predictive models in collaboration with cross-functional teams.

• Participate in technical discussions and lead engineering initiatives in Responsible AI, ensuring model fairness and safety before deployment.

• Evaluate and compare tools and libraries (both Salesforce-built and open-source) to determine the most suitable solution for specific use cases.

• Design and implement quantitative metrics to extract insights from structured datasets.

• Develop and maintain reports and dashboards to track key performance indicators (KPIs) and other critical metrics.

• Monitor and analyze log data to detect potential harms, threats, and valuable insights.

• Create data visualizations to effectively communicate insights and trends to stakeholders.

• Ensure data integrity by identifying and resolving discrepancies across structured and unstructured datasets.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

• 5+ years of hands-on experience in engineering roles focused on Machine Learning, Information Retrieval, Recommendation Systems, Personalization (p13n), Natural Language Processing, Learning to Rank, and Retrieval-Augmented Generation (RAG).

• Proficient in building and prototyping machine learning models and algorithms, with experience wrangling large datasets.

• Skilled in Python and widely used machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, JAX, SciPy, and Pandas.

• Experience deploying and managing AI solutions on cloud platforms such as AWS SageMaker and Amazon Bedrock.

• Experience designing and building microservices, with expertise in Kubernetes, Terraform, Docker, RESTful APIs, and gRPC.

• Strong background in Agile software development and Test-Driven Development (TDD) methodologies.

• Proficient in SQL, shell scripting, and Unix/Linux command-line tools.

• Strong foundation in algorithms, data structures, numerical optimization, data mining, parsing techniques, and high-performance computing.

• Expertise in parallel and distributed computing for scalable AI and ML solutions.

• Deep understanding of fairness in AI, with the ability to implement state-of-the-art and globally recognized fairness evaluation standards, particularly in generative AI.

• Experience in Identity and Access Management (IAM) and Cybersecurity is also preferred.

• Proven ability to work across teams of engineers, data scientists, and researchers to develop and optimize AI-driven solutions.

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