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

Target Resume Now

Tailor your resume to this Staff Machine Learning Engineer role.

Rezi rewrites your resume against Pinterest's job description. Free.

Resume score gauge reading 58 out of 100

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

Growth Content Science builds the ML that decides which content we bring to people on our growth surfaces, with a focus on notifications. We own the real-time production stack behind that decision: candidate retrieval, L1 and L2 ranking, utility and blending, content quality along with copy generation and ranking. As a Staff Machine Learning Engineer, you'll personally build the most complex models and systems on this stack, hold the bar for code quality and healthy ML infrastructure and lead the technical direction for notification content ranking.

Responsibilities

Lead multiple technical sub-areas within Growth content science effectively.
Drive Growth ML model improvements through AB test driven innovation loop - from ideation to production launches.
Own the health of our ML ecosystem: training pipelines, feature and serving infrastructure, evaluation frameworks and monitoring, AB test set up, etc.
Help raise the technical excellence bar through mentorship, reviews, evaluations, documentation, standard setting, etc.
Collaborate and build strong working relationships with colleagues and stakeholders to tackle big, cross-functional, initiatives.
Work closely with other engineering leaders to form technical directions and roadmaps.
Operate autonomously, take ownership in complex and evolving environments and drive work effectively.
Identify and apply relevant state-of-the-art techniques from recent research and/or collaborate on novel research directions.
Continuously optimize various parts of work by building and using cutting-edge AI tools.

Requirements

Graduate degree in Computer Science or in a related field
Minimum of 8 years of experience in machine learning engineering, including hands-on experience building and shipping models for a large-scale, real-time, end-user production recommender system
Expertise in recommender modeling, including sequence modeling of user behavior with transformer architectures, DNN rankers and generative and LLM-native recommenders
Experience in building and operating high-QPS, latency-constrained ML systems, including training and serving infrastructure, and in owning the cost, latency and reliability tradeoffs
Experience in industry-grade software engineering that others use as the example, and in conducting thorough code and design reviews that raise the quality of a team's work
Understanding of content personalization and content quality as one problem, and of why cold-start and low-signal users break standard rankers
Experience in leading technical work across teams, making timely decisions on hard tradeoffs and saying no when the user experience or the system health is at stake
Experience in mentoring junior engineers
Outstanding written and verbal communication skills, especially in a cross-functional set up
Demonstrated experience using AI to improve speed and quality in applied research
Strong track record of publications and patents

Skills

Machine Learning
Recommender Systems
Sequence Modeling
Transformer Architectures
DNN Rankers
Generative Models
LLM-native Recommenders
ML Infrastructure
Software Engineering
AI Tools

Location

Remote (US-based applicants only)

Work Type

Hybrid (in-office 1-2 times/quarter)

Experience Level

8+ years of experience in machine learning engineering

Education Level

Graduate degree in Computer Science or related field

Salary/Compensations

$189,308—$389,753 USD

Benefits

Equity

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

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 characteristic (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.