Summer 2026 Intern - Applied Scientist, Optimization

Salesforce

Multiple Locations
Base: $57 - $68 ph; bonus/equity: not specified; b...
Applied optimization methodologies
Mathematical programming solvers
Large-scale forecasting
Support core innovation for industry-leading products and services by transforming static optimization pipelines into a dynamic, self-learning platform

Job Summary

  • Support core innovation for industry-leading products and services by transforming static optimization pipelines into a dynamic, self-learning platform.
  • Apply academic theory into practice by experimenting and prototyping solutions that showcase how novel algorithms can be used to address system challenges.
  • Collaborate with senior engineers and scientists on research, design, and building systems that balance predictive accuracy, computational scalability, and real-time decision-making.

Matching Summary

Support core innovation for industry-leading products and services by transforming static optimization pipelines into a dynamic, self-learning platform.

Salary

Base: $57 - $68 per hour; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Applied optimization methodologies
  • Mathematical programming solvers
  • Large-scale forecasting
  • Data-driven decision making
  • End-to-end technical strategy

Nice-to-have

  • Online learning
  • Reinforcement Learning for optimization
  • Differentiable optimization
  • Learning-to-optimize frameworks
  • Probabilistic modeling
  • Simulation-based testing

Key Requirements

  • Ph.D. program enrollment
  • Operations Research, Applied Mathematics, Computer Science
  • Mathematical programming or metaheuristics
  • CPLEX and Gurobi proficiency
  • Strong communication and collaboration skills

Work Rights

Not specified

Tailored Resume

Cover Letter