Machine Learning Engineer (Mid-Level)
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Work on end-to-end machine learning projects contributing to recommendation systems and AI research applied to Pinterest's platform. You're pursuing a Master's in Computer Science, ML, NLP, Statistics, or related field with mastery of at least one systems language (Java, C++, Python) and one ML framework (TensorFlow, PyTorch, MLFlow). The role emphasizes AI-native engineering, critical thinking with AI-generated code, and production ML systems across algorithmic research, infrastructure, and product. Internships are 12 weeks paid at $11,000 monthly, with start dates in May or June, located remote or hybrid in San Francisco, Palo Alto, New York, or Seattle.
Written from this posting by Neural Jobs AI. The full description is below.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
We offer 2 internship start dates:
As a Machine Learning Intern at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.
What you’ll do:
What we are looking for:
Why Intern at Pinterest?
In-Office Requirement Statement:
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. 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
The salary for this position is $11,000 monthly.
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Our Commitment to Inclusion:
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Pinterest is a visual search and discovery platform where people find inspiration, save and organize ideas, and shop products. Users create collections of Pins around interests and future plans such as fashion, food, travel, home design, and personal projects. The platform uses recommendation and visual-search technology to connect users with relevant content and products. Pinterest earns revenue primarily from advertising and commerce tools that help brands reach people while they are exploring ideas and deciding what to do or buy next.
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