Machine Learning Engineer in San Diego, CA

$80K - $100K(Ladders Estimates)

Qualcomm Incorporated   •  

San Diego, CA 92101

Industry: Telecommunications & Hardware

  •  

Not Specified years

Posted 51 days ago

This job is no longer available.

The engineering candidate will work with different teams in Qualcomm providing hands on expertise. The candidate will join a team of subject matter experts in various areas associated with wireless communication and will be responsible for providing engineering solutions that leverage various types of data science, artificial intelligence, machine learning data mining techniques. In order to achieve this goal the candidate must demonstrate the ability to: * abstract challenges from different engineering fields and present them in the context of data science and machine learning; * gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions; * prototype, develop, validate and deploy data science and machine learning models; * if needed, develop software that supports data engineering and data science activities; * present data science and machine learning results to non-experts in a concise and clear matter. Overall this job requires an engineer to divide her/his time between collaborating with other engineers around the company, researching and developing innovative engineering solutions, and ensuring these solutions are contributing to the company's goals. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Minimum Qualifications Bachelor's of Science in Computer Science or Computer Engineering with a solid academic and/or industry experience. This experience should entail a practical and theoretical background in the areas of Machine Learning, Artificial Intelligence and Data Mining.


Proficiency in developing software using a Python framework with packages such as Numpy, Scipy, Scikit-Learn, Pandas, Tensorflow, Keras, Pytorch, etc. Proficiency with visualization concepts and tools such as D3.js, Bokeh, Shiny, Tableau, etc.


Demonstrated basic understanding and experience putting into practice software development, testing and revision control principles.


Experience with data engineering development for extracting, transforming and loading information into a reusable framework.


Preferred Qualifications Knowledge of various database and storage techniques and technologies such as SQL and No-SQL databases, Map Reduce, Hadoop, etc. Experience with cloud computing frameworks such as AWS, Google Cloud, Azure, etc. Wireless communications. Experience with embedded and operating system level programming. Ability to present technical content to technical and non-technical folks. Education Requirements Required: Bachelor's, Computer Science or equivalent experience

Preferred: Master's or Doctorate, Computer Science or equivalent experience Keywords Machine Learning, Artificial Intelligence, Data Science, Analytics, Visualization, Software Development The engineering candidate will work with different teams in Qualcomm providing hands on expertise. The candidate will join a team of subject matter experts in various areas associated with wireless communication and will be responsible for providing engineering solutions that leverage various types of data science, artificial intelligence, machine learning data mining techniques. In order to achieve this goal the candidate must demonstrate the ability to: * abstract challenges from different engineering fields and present them in the context of data science and machine learning; * gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions; * prototype, develop, validate and deploy data science and machine learning models; * if needed, develop software that supports data engineering and data science activities; * present data science and machine learning results to non-experts in a concise and clear matter. Overall this job requires an engineer to divide her/his time between collaborating with other engineers around the company, researching and developing innovative engineering solutions, and ensuring these solutions are contributing to the company's goals. All Qualcomm employees are expected to actively support diversity on their teams, and in the Company. Minimum Qualifications Bachelor's of Science in Computer Science or Computer Engineering with a solid academic and/or industry experience. This experience should entail a practical and theoretical background in the areas of Machine Learning, Artificial Intelligence and Data Mining.


Proficiency in developing software using a Python framework with packages such as Numpy, Scipy, Scikit-Learn, Pandas, Tensorflow, Keras, Pytorch, etc. Proficiency with visualization concepts and tools such as D3.js, Bokeh, Shiny, Tableau, etc.


Demonstrated basic understanding and experience putting into practice software development, testing and revision control principles.


Experience with data engineering development for extracting, transforming and loading information into a reusable framework.


Preferred Qualifications Knowledge of various database and storage techniques and technologies such as SQL and No-SQL databases, Map Reduce, Hadoop, etc. Experience with cloud computing frameworks such as AWS, Google Cloud, Azure, etc. Wireless communications. Experience with embedded and operating system level programming. Ability to present technical content to technical and non-technical folks. Education Requirements Required: Bachelor's, Computer Science or equivalent experience

Preferred: Master's or Doctorate, Computer Science or equivalent experience Keywords Machine Learning, Artificial Intelligence, Data Science, Analytics, Visualization, Software Development

Valid Through: 2019-9-25