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Software Engineering MTS/AI Research

AT Salesforce
Salesforce

Software Engineering MTS/AI Research

Palo Alto, CA

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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.

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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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Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

For California-based roles, the base salary hiring range for this position is $170,227 to $188,600.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

Client-provided location(s): Palo Alto, CA, USA
Job ID: Salesforce-JR268817
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Adoption Leave
    • Return-to-Work Program
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
    • Sabbatical
    • Volunteer Time Off
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
    • Professional Coaching
    • Work Visa Sponsorship
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Unconscious Bias Training
    • Diversity, Equity, and Inclusion Program

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