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Machine Learning Engineer

75% Flex
UNLIMITED HOLIDAYS - EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - LONG REMOTE PERIOD ALLOWED
Remote: 
Full Remote
Salary: 
140 - 215K yearly
Work from: 
New York (USA)

Offer summary

Qualifications:

Bachelor's degree in computer science, AI, applied mathematics, or related field, Proven experience in building Machine Learning and Deep Learning solutions with Python.

Key responsabilities:

  • Develop ML solutions for enhancing entertainment data sets
  • Create code using common deep learning frameworks for curation tasks
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Nielsen Internet XLarge https://www.nielsen.com/
10001 Employees
HQ: New York
See more Nielsen offers

Job description

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Your missions

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. 

This engineer will develop Machine Learning based solutions that aid in the curation and augmentation of one of the largest international entertainment data sets in the world.


What We're Looking For
  • Proven track record of building modern Machine Learning, Deep Learning and Natural Language Processing based solutions
  • Proficiency with at least one common Deep Learning framework (e.g. PyTorch, TensorFlow)
  • Proficiency in Python and a data query language (e.g. SQL)Proven track record of writing understandable, maintainable and testable code
  • Familiarity with software development practices such as unit testing, code reviews, and version control
  • Experience or strong interest working with cloud computing (preferably AWS)
  • Strong problem solving skills and the ability to work independently or collaboratively as required
  • A Bachelor’s degree in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related field

  • Bonus Points
  • An advanced degree (MS or PhD) in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related field
  • Experience merging and deduplicating large datasets
  • Experience working on multilingual problems
  • Experience developing search or candidate ranking systems using term-based (e.g. ElasticSearch) or vector-based (e.g. Faiss) solutions
  • Experience building internal review/labeling tools using Streamlit or equivalent
  • Proficiency in Spark using PySpark or Scala

  • Nielsen: Enabling your best to power a better media future. Our comprehensive benefits package (including health & wellness plans, 401(k) retirement coupled with a Nielsen match, a generous paid time off policy, company provided car for those who qualify, and if eligible, a discretionary incentive/bonus) is designed to be inclusive for all employees and families, and we take pride in ensuring that employees are rewarded holistically for the role they are doing and their performance.

    A reasonable estimate of salary range for a new employee to be offered this role would be $140,000 - $215,000 which would be adjusted based on each employee's geographic location.  The position of each employee within a compensation range at Nielsen is dependent on several individual circumstances, such as experience, training, certifications and other business requirements/needs.  

    Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

    #LI-AW1

    Required profile

    Experience

    Industry :
    Internet
    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Soft Skills

    • Problem Solving
    • Independent Work
    • Team Collaboration

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