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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.

Salesforce Inc. seeks Software Engineering MTS/AI Research in Palo Alto, CA:

Job Duties: Help create high-visibility data products and decision-making tools for Salesforce’s leaders. Lead the charge on taking core products to the next level in terms of engineering maturity and architecture. Refine and develop new data science products, workflows, tools, and automation. Build tools to monitor data pipeline performance, data quality and models in production. Establish best practices with coding standards, workflows, tools, and product automation. Review and maintain existing tool-set and codebase (pipelines, models, algorithms); continue to improve existing tools and build new ones. Scale the operations of the data science team by building automation and libraries. Work closely with AI researchers and applied scientists to deliver new AI for research and products. Focus on engineering components of AI such as model training/evaluation pipelines, leveraging GPUs, and optimizing pipelines. Solve challenging AI engineering problems, focusing primarily on training, evaluating, and optimizing large language models (LLMs). Telecommuting is an option. 

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in a related field.

A related technical degree required (Computer Science, Engineering (any field)).

Special Skill Requirements: (1) Machine learning; (2) optimizing inference of LLM by allowing multi-gpu inference; (3) building ML training and inference pipeline; (4) Data structures; and (5) scaling software systems.

Skills may be gained through academic coursework or employment experience. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. 

Salary: $170,227.00 - $188,600.00 per annum.

Submit a resume using the apply button on this posting or by email at: onlinejobpostings@salesforce.com at Job# 23-144315. Salesforce is an Equal Opportunity & Affirmative Action Employer.

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Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.