Senior Optimization Engineer

SRPSystemsInc

Princeton, NJ, United States permanent

Posted: October 3, 2016

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Quick Summary

We are seeking a Senior Optimization Engineer to optimize dynamic pricing algorithms, with expertise in linear and non-linear optimization problems, and experience with gradient descent and genetic algorithms.

Required Skills

Optimization Linear Non-linear Transmission Lines Cross-Domain Optimization Genetic Algorithms Big Data Pricing Dynamic Pricing Cloud

Job Description

SRP is a big data startup company located in Princeton, NJ focused on Dynamic Pricing, run
by seasoned alumni from Stanford University and Wharton.

Senior Optimization Engineer: optimization involves in finding a set of values that will minimize or maximize an objective function. We are looking for an engineer that has extensive experience in handling linear and non-linear optimization problems. You must have at least 5+ years of
hands-on experience in using both built in optimization libraries and in writing your own custom optimization algorithms such as gradient descent, genetic algorithms, or similar.

SRP is a company run by alumni of Stanford, Wharton, UPenn with two plus decades of industry
experience and past startup success. We are building a product in "dynamic pricing" by combining big data and pricing. SRP is a one year old startup with existing clients, and seed funded.

Anyone that joins SRP at this stage will enjoy a decent salary and great stock options. As we are extremely picky when it comes to hiring, please apply only if you have all the skills mentioned above, if not more.

This is a Full time project

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