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Software Engineering SMTS

AT Salesforce
Salesforce

Software Engineering SMTS

San Francisco, 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 has breached 6 billion transactions a day and growing at an exponential rate! Due to this rapid growth evolving our core infrastructure software has never been more important. Our team is looking for a Machine Learning Engineer to join our world-class team to apply Machine Learning into our infrastructure software to increase speed, scale, and high availability. If you're fired up about applying Machine Learning to cutting-edge compute, distributed multi-tenant systems, automating everything, and working with talented engineers, this is the team for you!

About the Role:
The Service Protection team in India at Salesforce.com is seeking talented Machine Learning Engineer to join our team to focus on system resiliency and high availability of our multi-tenant, on-demand cloud computing system. You will be working along side our talented distributed systems software engineer team to train and deploy machine learning models to detect anomalies and automate resolution in order to to solve real-world availability and scalability challenges.

Responsibilities:

- Use infrastructure data to asses, design, implement, train, and test machine learning models to detect anomalies
- Work closely with data and software engineers to apply machine learning model and scale to deploy anomaly detection models into our production infrastructure
- Design and implement major pieces of the salesforce.com core infrastructure, delivering high quality, production ready code

Basic Qualifications
- MS or PhD in Computer Science
- 5+ years of experience in one or more of the following areas: machine learning, recommendation systems, data mining
- Experience with deep neural networks and Gaussian processes
- Experience working with ML frameworks (Tensorflow, PyTorch, Keras)
- Experience working with Java and Python
- A solid understanding of both probability and statistics
- Strong mathematical skills and analytical skills

Desirable Qualifications:
- Experience working with large amounts of data in a high throughput environment
- Experience working with Kafka or messaging/streaming tools
- Experience with agile software development, and short release cycle

About Salesforce:
Salesforce, the Customer Success Platform and world's #1 CRM, empowers companies to connect with their customers in a whole new way. The company was founded on three disruptive ideas: a new technology model in cloud computing, a pay-as-you-go business model, and a new integrated corporate philanthropy model. These founding principles have taken our company to great heights, including being named one of Forbes's "World's Most Innovative Company" five years in a row and one of Fortune's "100 Best Companies to Work For" eight years in a row. We are the fastest growing of the top 10 enterprise software companies, and this level of growth equals incredible opportunities to grow a career at Salesforce. Together, with our whole Ohana (Hawaiian for "family") made up of our employees, customers, partners and communities, we are working to improve the state of the world.

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.

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 Washington-based roles, the base salary hiring range for this position is $157,600 to $216,700.

For California-based roles, the base salary hiring range for this position is $172,000 to $236,500.

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): San Francisco, CA, USA; Bellevue, WA, USA
Job ID: Salesforce-JR297459
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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