採用
Required Skills
Python
SQL
PyTorch
Spark
Machine Learning
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.
We’re looking for a machine learning engineer II in our Growth Platform engineering group. You’ll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience.
What you'll do:
-
Develop and implement ML models to improve user targeting and personalization for growth initiatives
-
Design and build scalable ML pipelines for data processing, model training, and deployment
-
Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
-
Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
-
Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
-
Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
-
Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
-
Participate in code reviews and collaborate with team members as needed
What we're looking for:
-
3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
-
Excellent communication skills and ability to work effectively in cross-functional teams
-
Strong problem-solving skills and ability to translate business requirements into technical solutions
-
Strong programming skills in Python and experience with Py Torch
-
Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
-
Experience with recommendation systems, user modeling, or personalization algorithms
-
Familiarity with statistical analysis
-
Bachelor’s/Master’s degree in a relevant field or equivalent experience.
Nice to have:
-
Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
-
Proficiency in data visualization techniques
-
Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
-
Contributions to open-source ML projects or research publications
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our Pin Flex page to learn more about our working model.
In-Office Requirement Statement:
-
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
-
This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.
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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

FY26 Intern - Machine Learning Compiler & Performance Engineering Intern - Canada (16 months)
Qualcomm · Markham, Ontario, Canada

Machine Learning Engineer, Apple Search & Knowledge Platforms
Apple · Seattle, WA

Senior Software Engineer, Deep Learning - Torch-TRT
NVIDIA · US, CA, Santa Clara

Forward Deployed AI Engineer
Palantir · New York, NY

Senior Staff ML Engineer
GEICO · 2 Locations
About Pinterest

A visual bookmarking tool for saving and discovering creative ideas.
1,001-5,000
Employees
San Francisco
Headquarters
$18.7B
Valuation
Reviews
3.4
15 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.0
Career
2.5
Management
1.5
25%
Recommend to a Friend
Pros
Competitive compensation packages
Remote work options available
Strong technical focus on ML and AI
Cons
Major layoffs and job insecurity
Poor leadership communication
Stagnant product development
Salary Ranges
19 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L3
0 reports
$205,417
total / year
Base
-
Stock
-
Bonus
-
$174,604
$236,230
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 50%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Machine Learning/Technical
Behavioral/STAR
Past Experience
News & Buzz
Pinterest to lay off 15% amid AI investment - Retail Dive
Source: Retail Dive
News
·
7w ago
Pinterest to cut up to 15% of its workforce as focus on AI intensifies - Los Angeles Times
Source: Los Angeles Times
News
·
7w ago
Pinterest Stock Slides As Company Plans To Cut Nearly 15% Of Workforce To Focus Resources On AI - Investor's Business Daily
Source: Investor's Business Daily
News
·
7w ago
Pinterest to lay off staff and shift resources to AI, company says - Mashable
Source: Mashable
News
·
7w ago