VP, Machine Learning

15 Minutes ago • All levels
Research Development

Job Description

Salesforce is seeking a VP, Machine Learning to lead and grow a team of engineers and scientists, building scalable machine learning platforms. This role involves translating product requirements into system designs, developing a vision for applying ML models across products, and fostering innovation. The VP will drive continuous product improvements through experimentation, provide vision for feature engineering, and promote the application of the latest AI and ML technologies, presenting to executive leadership.
Must Have:
  • Lead and grow a team of engineers and scientists (machine learning, AI, software and data)
  • Build systems and platforms that enable scaling of machine learning frameworks and applied data science
  • Work closely with Product leaders and owners to translate product and business requirements to system design and implementation
  • Develop a vision and seek opportunities to apply machine learning models and data science across all products
  • Create an innovation-first mindset and environment to drive product enhancements, breakthroughs and increase engagement
  • Leverage experimentation to learn and drive continuous product improvements and user experience
  • Provide vision for feature engineering pipelines to power ML at scale
  • Promote research and the application of the latest AI, machine learning and algorithmic approaches and technologies
  • Work with and present to Executive leadership
  • Manage a geographically dispersed team
Perks:
  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life and disability insurance
  • 401(k)
  • Employee stock purchasing program

Add these skills to join the top 1% applicants for this job

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Job Category

Software Engineering

  • Lead and grow a team engineers and scientists (machine learning, AI, software and data)
  • Build systems and platforms that enable scaling of machine learning frameworks and applied data science
  • Work closely with Product leaders and owners to translate product and business requirements to system design and implementation
  • Develop a vision and seek opportunities to apply machine learning models and data science across all products
  • Create an innovation-first mindset and environment to drive product enhancements, breakthroughs and increase engagement
  • Leverage experimentation to learn and drive continuous product improvements and user experience
  • Provide vision for feature engineering pipelines to power ML at scale
  • Promote research and the application of the latest AI, machine learning and algorithmic approaches and technologies
  • Work with and present to Executive leadership
  • Manage a geographically dispersed team

Accommodations

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Posting Statement

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.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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