Data Science Engineer, Recent Graduate

Location:

San Jose, California
Bellevue, Washington
New York, New York
Requisition Number:
R0040306
We are looking for this rare combination of expertise in Machine Learning and passion for deploying to production reliable and efficient Machine Learning services at massive scale. As a member of our team, you will collaborate with researchers to invent, design and implement end-to-end reliable, scalable, efficient production services in Python, Java and Scala, using state-of-the-art big data and Machine Learning tools like Hadoop, Spark, Tensorflow, Scikit. Come and help us blow the boundaries of e-commerce through AI.

PRIMARY JOB RESPONSIBILITIES

  • Design, implement and deploy Machine Learning technologies into reliable and scalable services.

  • Monitor and ensure life cycle maintenance of Machine Learning models and services.

  • Estimate engineering effort, plan feature implementations, and rollout complex
    RESTful services.

  • Push the bar to solve complex technical challenges of scale and performance.

  • Must be able to independently design code and test major features, as well as work jointly with other team members to deliver complex changes.


QUALIFICATIONS

  • Must be currently enrolled as a student, 0-3 years of relevant work experience in an accredited Bachelors, Masters or PhD program within the United States graduating in 2021 Computer Science, Statistics, Mathematics or a related field.

  • Well versed in machine learning, information retrieval, applied statistics

  • Expertise in Deep Learning.

  • Experience with building Machine Learning models and working with libraries like Scikit, Tensorflow or FastText.

  • Hands-on industrial experience with big data processing using Hadoop, Pig/Hive or similar.

  • 2+ years of software design and development experience with languages such as Java, C++, Scala, Python.

  • Agility to adapt to emerging challenges and execute under ambiguity.

  • Familiarity with NoSQL database experience.

  • Agile development experience is a plus.

  • Self-motivated and fast learner. Excellent communication, presentation, interpersonal and analytical skills.

Disclaimer: Please note that by applying to this role, you are agreeing to be considered for multiple positions. This is a general description of the qualifications and skills required for positions of this type of role.

eBay Inc. is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies

View our privacy policy and accessibility info

Data Science Engineer, Recent Graduate

San Jose, California
Bellevue, Washington
New York, New York
Requisition Number R0040306 Subsidiary eBay
We are looking for this rare combination of expertise in Machine Learning and passion for deploying to production reliable and efficient Machine Learning services at massive scale. As a member of our team, you will collaborate with researchers to invent, design and implement end-to-end reliable, scalable, efficient production services in Python, Java and Scala, using state-of-the-art big data and Machine Learning tools like Hadoop, Spark, Tensorflow, Scikit. Come and help us blow the boundaries of e-commerce through AI.

PRIMARY JOB RESPONSIBILITIES

  • Design, implement and deploy Machine Learning technologies into reliable and scalable services.

  • Monitor and ensure life cycle maintenance of Machine Learning models and services.

  • Estimate engineering effort, plan feature implementations, and rollout complex
    RESTful services.

  • Push the bar to solve complex technical challenges of scale and performance.

  • Must be able to independently design code and test major features, as well as work jointly with other team members to deliver complex changes.


QUALIFICATIONS

  • Must be currently enrolled as a student, 0-3 years of relevant work experience in an accredited Bachelors, Masters or PhD program within the United States graduating in 2021 Computer Science, Statistics, Mathematics or a related field.

  • Well versed in machine learning, information retrieval, applied statistics

  • Expertise in Deep Learning.

  • Experience with building Machine Learning models and working with libraries like Scikit, Tensorflow or FastText.

  • Hands-on industrial experience with big data processing using Hadoop, Pig/Hive or similar.

  • 2+ years of software design and development experience with languages such as Java, C++, Scala, Python.

  • Agility to adapt to emerging challenges and execute under ambiguity.

  • Familiarity with NoSQL database experience.

  • Agile development experience is a plus.

  • Self-motivated and fast learner. Excellent communication, presentation, interpersonal and analytical skills.

Disclaimer: Please note that by applying to this role, you are agreeing to be considered for multiple positions. This is a general description of the qualifications and skills required for positions of this type of role.

eBay Inc. is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

For more information see:  EEO is the Law Poster and EEO is the Law Poster Supplement

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies

View our privacy policy and accessibility info