Principal Software Engineer, AI/ML

Posted:
10/13/2024, 5:00:00 PM

Location(s):
Boston, Massachusetts, United States ⋅ Massachusetts, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Hybrid

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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.

Service Cloud by Salesforce is a revolutionary customer service platform designed to transform your business's approach to customer support. It empowers your team to deliver efficient, personalized customer service experiences across multiple channels, all in one unified platform. With Service Cloud, you can streamline workflows, automate routine tasks, and leverage AI-powered insights to drive customer satisfaction and loyalty. Whether it's faster case resolution, 360-degree customer views, or real-time analytics, Service Cloud is your key to unlocking exceptional customer service.

Join our dynamic team at Salesforce and make a real impact with your work! We’re looking for passionate individuals who want to shape the future of our products and deliver exceptional data driven experiences to our customers. Come be a part of our innovative and collaborative environment, where your skills will thrive and your ideas will be valued. Apply now and let’s build something extraordinary together!

We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves.

We believe that autonomous teams with the freedom to make decisions will empower individuals, products, companies, and customers to thrive.

Your Impact:
Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology in AI and striving for the best quality and throughput.

As part of this role, you will:

  • Architect, design, implement, test and deliver highly scalable enterprise grade AI/ML solutions from the ground up.
  • Lead the development of prototypes and rapid experimentation to evaluate new algorithms, models, or approaches, balancing time-to-market with long-term technical investments
  • Operate optimally in the hybrid engineering model where engineers are encouraged to be able to craft and complete the vital work to ensure quality in their own code as well as other engineers
  • Mentor others in development technologies, tools, and processes
  • Present your own designs to internal/external groups and review designs of others
  • Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics for AI/ML systems
  • Participate in the team’s on-call rotation to address sophisticated problems in real-time and keep services operational and highly available

Required Skills:

  • 10+ years of professional software development experience in implementing and operating AI/ML at scale.
  • Deep domain knowledge and expertise in AI/ML and data analysis is required.
  • Mastery of the ML lifecycle, including model training, deployment and the challenges associated with scaling AI products
  • Proficiency in safe AI/ML rollout methodologies including canarying and A/B testing.
  • Proven understanding in at least one high-level programming language (C++, Python, Go, etc.)
  • Proven ability to design and architect complex, high-performance systems that support AI workloads
  • Excellent interpersonal skills
  • Related technical degree required

Preferred Skills:

  • Strong technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
  • Experience with Agile software development and test-driven development.
  • Track record of being a top performer in current and past roles
  • BS/MS in Computer Science, Computer Engineering or related field.

Benefits & Perks:

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

Salesforce Information:

Check out our Salesforce Engineering Site.

*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES*

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.

Salesforce

Website: https://www.salesforce.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 10001+

Year Founded: 1999

IPO Status: Public

Last Funding Type: Post-IPO Equity

Industries: Apps ⋅ Cloud Computing ⋅ CRM ⋅ Enterprise Software ⋅ Information Technology ⋅ iOS ⋅ Mobile Apps ⋅ SaaS ⋅ Sales Enablement ⋅ Software