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Artificial Intelligence & Machine Learning Associate

The largest English language publisher is looking for someone to join an agile and dynamic technology team to help us discover text and data relationships to drive our business forward while working with new tools and processes. This position will assist in creating experiments and prototyping implementations to push boundaries in designing new architectures.


This role will be the subject matter expertise in Artificial Intelligence, Machine Learning and related technologies, with the ability to demonstrate understanding of the business applications and opportunities in the market. In addition, present complex ML/AI concepts to both technical and non-technical audiences.



  • Domain knowledge of machine learning and text/data analysis/natural language processing techniques for classification, detection, key attribute extraction, segmentation, or activity detection
  • Solid understanding of linear algebra, calculus
  • Familiar with how to retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
  • Fully responsible for deliverables, including definition, completion, and technical quality, as well as assuring consistency across the responsibility span
  • Object-oriented programming and principles in Python, C++, or Java
  • Experience in data modeling and architecture
  • Excellent written, oral, and interpersonal communication skills and a keen desire to learn



  • 1+ years of experience working on technical challenges associated with machine learning and/or text/data analysis/natural language processing
  • Strong problem-solving skills and capable of working with analysts and technical software developers across several technical disciplines
  • Strong software development and/or algorithmic scripting skills, preferably with knowledge of machine learning and/or deep learning frameworks
  • Hands-on experience using text/data analysis/natural language processing and machine learning libraries such as TensorFlow, PyTorch, and Jax
  • Familiarity with data analysis and visualization in Python
  • Experience with these, or similar tools, a plus:
    • Amazon – AMI’s, ML Solutions Lab
    • Google – BigQuery, Dataproc, Spanner



Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. 


Penguin Random House is the leading adult and children’s publishing house in North America, the United Kingdom and many other regions around the world.  In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution.  Our vibrant and diverse international community of nearly 250 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children’s Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others.  More information can be found at
Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.



Company: Penguin Random House LLC 

Country: United States of America 

State/Region: New York 

City: New York 

Postal Code: 10019 

Job ID: 164184

Date:  Sep 1, 2021

New York, NY, US, 10019

Nearest Major Market: Manhattan
Nearest Secondary Market: New York City

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