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Lead Machine Learning Engineer

84% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Salary: 
66 - 225K yearly
Work from: 

Offer summary

Qualifications:

Proven track record in ML, Deep Learning and NLP, Proficiency in Python, SQL, & deep learning frameworks, Experience with cloud computing (preferably AWS), Bachelor’s degree in relevant field, MS or PhD desirable, Experience in Spark, multilingual, big datasets, text generation.

Key responsabilities:

  • Develop ML solutions for large international entertainment data sets
  • Write maintainable, testable code following best practices
Nielsen logo
Nielsen Internet XLarge https://www.nielsen.com/
10001 Employees
HQ: New York
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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. 

Lead Machine Learning Engineer

Responsible for Develop ML based solutions that aid in the curation and augmentation of one of the largest international entertainment data sets in the world.


Required:
  • 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.
  • Experience with standard software development best 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.
  • Willingness to work in a fully remote position as part of a distributed team.
  • A Bachelor’s degree in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related field

  • Desired:
  • An advanced degree (MS or PhD) in computer science, artificial intelligence, applied mathematics, statistics, machine learning or related field.
  • Experience working on LLM based Text Generation problems.
  • Experience working on multilingual problems.
  • Experience merging and deduplicating large datasets.
  • Experience building internal review/labeling tools.
  • 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 for full-time employees, 401(k) retirement coupled with a Nielsen match, a generous paid time off policy, 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 between $66,000-$225,000 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-GR1

    Required profile

    Experience

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

    Soft Skills

    • Ability to Work Independently
    • Team Collaboration

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