Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Staff Machine Learning Engineer role.
Rezi rewrites your resume against Pinterest's job description. Free.

Tailor your resume to this Staff Machine Learning Engineer role.
Rezi rewrites your resume against Pinterest's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Staff Machine Learning Engineer posting at Pinterest — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Staff Machine Learning Engineer posting at Pinterest — free, in seconds.
About the Role
As part of Pinterest Labs, you'll tackle new challenges in machine learning and artificial intelligence with a world-class team. This role is central to transforming content discovery on Pinterest by driving the research, architecture, scale, and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions. You will conduct research applicable across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research at the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning.
Responsibilities
- Contribute to cutting-edge AI/ML research applicable to Pinterest challenges across Ads, Discovery, Growth, and Search.
- Identify, scope, architect, build, and deliver novel ML solutions from 0 to 1 at scale, including identifying timelines and obtaining necessary resources.
- Identify new research opportunities through interaction with external and internal collaborators.
- Own long-term research strategy and plans to expand the impact of Applied Science.
- Act as a technical leader in the applied AI space, partnering with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.
Requirements
- MS/PhD in Computer Science, or equivalent industry experience.
- Minimum 6 years of relevant industry experience.
- Hands-on experience with large-scale recommendation system and reinforcement learning applications.
- Experience with LLM/VLM post-training is a plus.
- Technical leadership and experience in driving ambiguous research problems into production deliverables.
- Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.).
- Cross-functional collaborator and strong communicator.
Skills
- Machine Learning
- Artificial Intelligence
- Generative Recommendation System
- Reinforcement Learning
- Recommendation Systems
- LLMs
- VLMs
Location
- Remote (US-based applicants only)
Work Type
- Hybrid (in-office 1-2 times/quarter for in-person collaboration)
Experience Level
- Staff level
- Minimum 6 years of relevant industry experience
Education Level
- MS/PhD in Computer Science, or equivalent industry experience
Salary/Compensations
- $227,871—$469,147 USD
Benefits
- Equity
- Information regarding benefits available for this position can be found here.
About the Company
- 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.
- At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact.
- Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working.
Equal Opportunity
- 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.