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Job Category
Software Engineering
Job Details
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.
The Salesforce Trusted Services cloud is looking to establish a team of experienced software engineers who are passionate about solving complex problems, owning a product from end-to-end, and taking advantage of the latest AI/ML technologies. As a member of the team, you will be involved in building a cutting-edge, next-generation version of the Salesforce Data Detect product (formerly Einstein Data Detect).
Salesforce is the poster child of trusted enterprise cloud services. In Trusted Services, nothing is more important to our continued success than the security and privacy of our customer's data. We are an integral part of the Salesforce Customer 360 vision, and our focus and passion is building the next-generation of Salesforce Privacy and Security products.
In this role, you will design, implement, and optimize ML algorithms for the accurate detection of sensitive data across diverse data types and formats. You will be part of a fast-growing team focused on building a re-imagined version of the Data Detect product. And with customer trust as our #1 value, you will ensure that quality, performance, security, and observability are inherent attributes of the product.
What you'll do
Train and evaluate ML models using state-of-the-art techniques, ensuring high precision and recall in identifying sensitive entities.
Work closely with back-end engineers to seamlessly integrate ML models into data processing pipelines, ensuring scalability and efficiency in real-time data analysis.
Develop and implement strategies for custom entity recognition, tailoring the AI models to identify customer-specific sensitive information.
Develop efficient data classification mechanisms to categorize information based on its sensitivity and establish appropriate access controls.
Create and enhance pattern recognition systems to identify sensitive data patterns, including personally identifiable information (PII) and other customer-specific confidential information.
Collaborate with internal cross-functional teams to gather their data detection requirements and perform feature engineering and extraction
Provide input into priorities, deadlines, and deliverables.
Stay abreast of industry trends and emerging technologies to continuously enhance the capabilities of the Data Detect product.
Required Skills
Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
15+ years of experience in Software development and engineering, should have 6+ years of relevant experience in Data Science, AI / ML Engineering and AI/ML Ops etc.
Proven experience in developing and deploying machine learning models, with a focus on data security and privacy.
Proficiency in Python, TensorFlow, PyTorch, or similar.
Solid understanding of feature engineering, model training, and evaluation techniques.
Knowledge of software development methodologies (Agile, Scrum, etc.).
Excellent problem-solving and communication skills.
Preferred Skills
Familiarity with data encryption, tokenization, and other data protection methods.
Experience with machine learning algorithms, deep learning techniques, and natural language processing of structured and unstructured data.
Familiarity with Named Entity Recognition (NER) and NLP techniques to identify and categorize sensitive data.
Experience with model training, validation, and optimization.
Experience with data preprocessing and feature engineering.
Experience designing and implementing advanced algorithms for the accurate detection of sensitive data across various data types and formats.
Familiarity with cloud platforms and distributed computing for scalable ML solutions.
* Familiarity with relevant data security, privacy, and compliance regulations (e.g., GDPR, CCPA, and HIPAA).
Accommodations
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Posting Statement
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