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Job Category: Software Engineering
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. 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.
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 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 .
Accommodations:
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
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.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer.
For California-based roles, the base salary hiring range for this position is $223,000 to $323,400. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
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