Is the Sr. Machine Learning Engineer, Core Engineering role remote?

Yes — Pinterest lists this as a fully remote position.

How much experience is required?

At least 4 years of relevant experience for this Sr. Machine Learning Engineer, Core Engineering role.

What's the tech stack?

Joblaze extracted these technologies from the posting: Deep Learning, Hadoop, Machine Learning, Natural Language Processing, Spark, graph representation learning.

What seniority level is this role?

Pinterest targets senior candidates for this position.

Sr. Machine Learning Engineer, Core Engineering at Pinterest

Joblaze summary

In this role, the Sr. Machine Learning Engineer at Pinterest focuses on developing advanced machine learning models to enhance user personalization across various product surfaces. Candidates should have substantial experience in machine learning techniques, data processing pipelines, and big data technologies, ideally with a background in computer science or related fields. This position is suited for professionals with over four years of industry experience who are passionate about applying machine learning in innovative ways. Pinterest's small, dynamic teams provide a unique opportunity to work with vast datasets and contribute to impactful projects.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Pinterest's career page.
Pinterest has 195 other open roles including Lead Ads Product Marketing Manager, Sr. Programmatic Tech Operations Specialist , Sr. Client Account Manager, Home.
798 active Machine Learning roles on Joblaze right now.
374 active Spark roles on Joblaze right now.
135 active reinforcement learning roles on Joblaze right now.
Typical Machine Learning salary we track runs $145,000–$230,000 (median $185,000, across 355 roles). See Machine Learning salary trends

Quick facts

Is the Sr. Machine Learning Engineer, Core Engineering role remote?: Yes — Pinterest lists this as a fully remote position.
How much experience is required?: At least 4 years of relevant experience for this Sr. Machine Learning Engineer, Core Engineering role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Deep Learning, Hadoop, Machine Learning, Natural Language Processing, Spark, graph representation learning.
What seniority level is this role?: Pinterest targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Machine Learning Engineer, Core Engineering role at Pinterest.

From the original posting

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 535 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. 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.

What you’ll do:

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
Work in a high-impact environment with quick experimentation and product launches
Keeping up with industry trends in recommendation systems

What we’re looking for:

4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
Degree in computer science, machine learning, statistics, or related field

Nice to have:

- Publications at top ML conferences
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
- Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

Relocation Statement:

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

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Our Commitment to Inclusion:

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.

By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

Sr. Machine Learning Engineer, Core Engineering

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