Senior Machine Learning Engineer, AI Research

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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.

We're seeking exceptional Machine Learning Engineers to advance Agentforce's agent capabilities. In this role, you'll develop fully-autonomous agents with planning, reasoning, and verifiable action execution, while enabling tool use, computer use, and code execution at scale, developing memory architecture, and multi-agent interactions. You'll drive innovation at the intersection of research, incubation and product. By creating state-of-the-art solutions, you'll transform how organizations leverage AI in their workflows, applying your expertise to solve real enterprise challenges and shape the future of AI technology.

Responsibilities

Agentic AI System Backend/Frontend Development:

• Develop agentic system infrastructure and components, including planning and reasoning engines, tool use, computer use and code execution environments, memory architecture, multi-agent orchestration layer, human-agent interaction, etc.

• Design, implement, and tune robust APIs and API framework-related features.

• Create visualization interfaces for system demonstration and rapid development iteration.

Prompt Engineering and Optimization:

Design and experiment with creative prompts to optimize the performance of LLMs for specific use cases, ensuring accuracy, relevance, and efficiency. Implement techniques like few-shot learning, chain-of-thought prompting, and context tuning to enhance LLM outcomes for AI agents.

AI Model Development, Evaluation and Deployment:

• Finetune AI model for agentic use case.

• Develop metrics and tools to evaluate model performance, reliability, and trust.

• Deploy LLM models into production systems, ensuring scalability, security, and efficiency.

Collaboration and Research:

As a machine learning engineer from the  AI research team, you collaborate with researchers, product managers, engineers, and designers to identify and implement AI-driven solutions for internal incubators. Stay at the forefront of LLM research and emerging technologies to recommend and integrate advancements into Salesforce’s AI strategy.

Educational Background:

Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Technical Skills:

• Strong expertise in LLMs and prompt engineering techniques.

• High proficiency in Python programming language.

Preferred Qualifications

• Experience in developing complex agentic systems using LLMs.

• Experience in REST-based API development, API lifecycle management and/or client SDKs development.

• Experience in frontend development for system demonstration, such as using tools like Streamlit, Chainlit, etc.

• Experience with large-scale reinforcement learning techniques.

• Proficiency in popular Deep Learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).

• Prior experience in building AI solutions for enterprise software or SaaS platforms

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 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.