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University Grad Machine Learning Engineer (USA) - MASTERS ONLY

Remote: 
Full Remote
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Offer summary

Qualifications:

Master's degree in Computer Science, Machine Learning, Natural Language Processing, Statistics, Information Sciences, or a related field is required., Experience in machine learning techniques such as ranking, computer vision, and content recommendations is essential., Proficiency in big data technologies like Hadoop or Spark and real-time systems is necessary., Strong communication skills and the ability to work collaboratively in a team are important. .

Key responsabilities:

  • Contribute to research in machine learning and artificial intelligence applicable to Pinterest's challenges.
  • Analyze data to build intelligent, data-driven models and write clean, efficient code.
  • Utilize machine learning and natural language processing to address modeling and ranking issues across various platforms.
  • Design and test models to predict user engagement for notifications and develop content recommendation systems.

Pinterest logo
Pinterest Information Technology & Services Large https://www.pinterest.com/
1001 - 5000 Employees
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Job description

About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

As a Machine Learning Engineer at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. We are building the world's first discovery engine, serving up millions of recommendations to an incredibly loyal user base. At the same time, our teams are building one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers. In this role, you can join a team in any of the following areas: image recognition, user modeling, recommender systems, natural language processing, and big data analytics. As you kickstart your career at Pinterest, you’ll help us maneuver through crazy growth and insane scale while pinpointing tomorrow’s engineering challenges.


What you’ll do:

  • Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  • Collect, analyze, and synthesize findings from data and build intelligent data-driven model
  • Write clean, efficient, and sustainable code
  • Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  • Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)
  • Build content recommendation systems to power our push, email, and in-app notifications
  • Work on state-of-the-art large-scale applied machine learning projects
  • Scope and independently solve moderately complex problems

 

What we’re looking for:

  •  Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required
  •  Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc all ok)
  • Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  •  Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • Strong communicator and team player. Being able to find solutions for open-ended problems
  • Must graduate between December 2024 and June 2025

 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 

#LI-REMOTE

#LI-EB1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$124,300$166,800 USD

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
 

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

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