Scientist – Optimization Algorithms and Platforms

от 300000 руб./мес.
Москва
Опыт от 6 лет

Job Responsibilities:

  • Design, develop and improve general operation research solver in linear programming, (mixed) integer programing and general constraint programming.
  • Design, develop and improve the operational research optimization algorithms based on practical problems, including but not limited to combinatorial optimization, game theory, online optimization, stochastic optimization, linear programming, cybernetics, etc.
  • Work with industry solution team to support business success.
    • Work Environment:

    • Salary higher than market average. We are ready to provide the best conditions to the best candidates.
    • Annual bonus, company options.
    • Medical insurance.
    • Phone expenses compensation.
      • Requirements:

      • MS or Ph.D. in operational research, mathematics, computer science, or similar technical field.
      • Thorough knowledge of scheduling and optimization related concepts, understand one or more of the following algorithms: linear programming, non-linear programming, dynamic programming, combinatorial optimization, meta-heuristic algorithm, evolutionary algorithm, etc.
      • Deep understanding on classical combinatorial optimization problems and related algorithms, such as bin packing, vehicle routing, and so on.
      • Practical project experience of using existing commercial or open-sourced optimization solvers, such as CPLEX, Gurobi, LINDO, etc.
      • 5+ years of experience in C/C++ programming.
      • Excellent written and verbal communication skills in English.
      • Experience in industry problem solving is a plus.
      • Experience in distributed/parallel computing is a plus.
        • Тип занятости:

          Полная занятость, полный рабочий день, у работодателя

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