Hace 1 mes
Senior Machine Learning Engineer
Si el reclutador te contacta podrás conocer el sueldo
QuinStreet en
Sobre el empleo
Categoría: Tecnologías de la Información - Sistemas
Subcategoría: Inteligencia artificial
Educación mínima requerida: Posgrado
Beneficios
- Prestaciones de ley
- Prestaciones superiores a las de la ley
Descripción
Job Category
We're looking for an extremely smart Senior Algorithms Engineer to become a core member the team that creates algorithms for pricing, targeting, demand fulfillment, and fraud detection in our marketing platform.
Responsibilities
- Use your expertise in machine learning and statistical learning techniques such as classification and regression to produce models applicable to pricing and targeting.
- Apply mathematical optimization techniques to solve network problems.
- Experiment and build models that improve the capabilities of our marketing platform and allow for increases in yield.
- Work with our Engineering and Business teams to implement scalable, reliable and useful solutions for our various business units.
- Run numerous experiments in a fast-paced, analytical culture so you can quickly learn and adapt to your work.
- 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
- 2+ years post Ph.D. experience in software development
- MS in Computer Science or related area, or relevant work experience
- Deep experience in applied machine learning, statistical learning, mathematical optimization and scalable computing
- Experience with both supervised and unsupervised learning on large datasets
- Succeed as an individual but to collaborate and strive for the success of your team
- Strong sense of ownership in everything you build
- Strong experience building production level code (Python is a plus)
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.
ID: 20135922
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