Summer 2026 Intern - Applied Scientist, Optimization

Salesforce UK

United Kingdom
Base: $57 - $68 ph; bonus/equity: not specified; b...
Mathematical programming
Metaheuristics
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

  • mathematical programming
  • metaheuristics
  • large-scale forecasting
  • data-driven decision making
  • CPLEX and Gurobi solvers

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
  • Strong research experience
  • Proficiency with optimization solvers
  • Strong communication and collaboration skills

Work Rights

Not specified

Tailored Resume

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