Job Description
Job Category
We’re looking for an extremely smart Algorithms Engineer to become a core member of the team that creates algorithms for pricing targeting demand fulfillment and fraud detection in our marketing platform.
Responsibilities
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Use your expertise in machine learning and statistical learning techniques such as classification and regression to produce models applicable to pricing and targeting.
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Apply mathematical optimization techniques to solve network problems.
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Experiment and build models that improve the capabilities of our marketing platform and allow for increases in yield.
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Work with our Engineering and Business teams to implement scalable reliable and useful solutions for our various business units.
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Run numerous experiments in a fast-paced analytical culture so you can quickly learn and adapt to your work.
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Get the satisfaction of knowing that you helped connect millions of visitors to our affiliates and internal properties to the products and services they are searching for.
Requirements
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2+ years’ experience in software development
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MS in Computer Science or related area or relevant work experience
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Deep experience in applied machine learning statistical learning mathematical optimization and scalable computing
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Experience with both supervised and unsupervised learning on large datasets
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Succeed as an individual but to collaborate and strive for the success of your team
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Strong sense of ownership in everything you build
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Strong experience building production level code (Python is a plus)
The expected salary range for this position is $120000 USD to $160000 USD annually. This salary range is an estimate and the actual salary may vary based on the Company’s compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company’s standard employee benefits programs which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave parental leave paid time off or vacation benefits); (4) any other tax-reportable benefits.
#LI-REMOTE
Date Posted
08/25/2024
Views
1
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