Summer 2026 Intern - Applied Scientist, Optimization

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Our Futureforce University Recruiting program is dedicated to attracting, retaining and cultivating talent. Our interns and new graduates work on real projects that affect how our business runs, giving them the opportunity to make a tangible impact on the future of our company. With offices all over the world, our recruits have the chance to collaborate and connect with fellow employees on a global scale. We offer job shadowing, mentorship programs, talent development courses, and much more.

Fixed Term & Temporary

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

As our PhD Intern, Applied Scientist - Optimization, you will support core innovation for our industry-leading products and services, taking part in a pivotal strategic initiative to transform our static optimization pipelines into a dynamic, self-learning platform. This transformation is critical to improving our operational efficiency and enabling our systems to intelligently adapt to real-time market trends.

The systems you contribute to will help manage millions of service appointments daily across thousands of our most critical global customers, powering a platform with over $1 billion in revenue. This is a unique opportunity to apply your academic research to a project driving measurable efficiency gains that translate directly into substantial customer value.

Your primary project will be to support research on applying state-of-the-art optimization methodologies to enhance our optimization service’s scalability, robustness, and dynamic capabilities. You will collaborate with senior engineers on how we research, design, and build systems that must balance the competing demands of predictive accuracy, computational scalability, and real-time decision-making.

This is a hands-on research internship focused on technical excellence and innovation. You will be mentored by a talented team of engineers and scientists, contributing to the end-to-end technical strategy from novel research to production deployment.

What You'll Do

• Apply academic theory into practice by experimenting and prototyping solutions that showcase how novel algorithms can be used to address the challenges that our system faces today.

• Contribute to the technical vision and long range plan for our optimization capabilities by conducting research and developing proofs-of-concept (POCs).

• Participate in technical discussions that help set the strategic direction for the research and development of novel optimization solutions.

• Collaborate with cross-functional teams to help translate prototypes into actionable solutions.

• Collaborate closely with a team of engineers and scientists, fostering a culture of innovation and continuous learning.

Required Qualifications

• Currently enrolled in a Ph.D. program in Operations Research, Applied Mathematics, Computer Science, or equivalent.

• Strong research experience and foundational knowledge in solving complex optimization problems through mathematical programming or metaheuristics, with an interest in blending mathematical models and machine learning techniques to solve complex industrial problems.

• Proficiency working with open-source and proprietary mathematical programming solvers such as CPLEX and Gurobi.

• Experiences in one or more of the following areas: large-scale forecasting and data-driven decision making.

• Strong communication and collaboration skills.

Nice to Have Qualifications

• Experience with online learning or applying Reinforcement Learning (RL) specifically to optimization problems.

• Familiarity with emerging research areas like differentiable optimization or learning-to-optimize (L2O) frameworks.

• Solid grasp of probabilistic modeling, statistical evaluation, and the use of simulation-based testing to validate complex models and systems.

• Proficiency in modern ML frameworks like PyTorch or TensorFlow.

• Prior experience working within cross-functional teams that include data scientists, operations research specialists, and software engineers.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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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.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

For Massachusetts based roles, the base salary hiring range for this position is $57 to $63.