Opportunity at
PinterestMachine Learning Engineer II, Core Engineering
Pinterest operates a digital platform serving over 500 million global users who save ideas and seek inspiration. The organization maintains a workforce of slightly more than…
Career Tools
About This Role
Pinterest operates a digital platform serving over 500 million global users who save ideas and seek inspiration. The organization maintains a workforce of slightly more than 4,000 employees globally and operates within an on-site working model that includes periodic gatherings for collaboration, alongside specific guidelines outlined in their PinFlex policy. The Core Engineering group seeks a Machine Learning Engineer II to develop personalized features and recommendation engines. In this capacity,…
Job Description
Pinterest operates a digital platform serving over 500 million global users who save ideas and seek inspiration. The organization maintains a workforce of slightly more than 4,000 employees globally and operates within an on-site working model that includes periodic gatherings for collaboration, alongside specific guidelines outlined in their PinFlex policy.
The Core Engineering group seeks a Machine Learning Engineer II to develop personalized features and recommendation engines. In this capacity, the professional will build advanced technology utilizing contemporary deep learning and machine learning methods to enhance user experiences across surfaces such as the Homefeed, Search, Shopping, Ads, and Growth. The role involves working within a fast-paced environment characterized by rapid product launches and experimentation.
This position suits a technical specialist with professional experience in applying machine learning, constructing data processing pipelines, and managing large-scale infrastructure. Candidates must be capable of explaining their reasoning and foundational methods during an interview process that incorporates artificial intelligence screening and tools. Relocation assistance is not available for this vacancy. For applicants based in Canada, the posted base salary range spans from $170,840 to $220,840 CAD, with final compensation determined by factors such as geographical location, prior background, and specific expertise.
Responsibilities
- Develop cutting-edge technology using recent advances in deep learning and machine learning to personalize the Pinterest platform
- Collaborate with internal teams to test and refine machine learning models across product surfaces including Homefeed, Ads, Growth, Shopping, and Search
- Apply data-driven techniques and leverage proprietary data properties to enhance candidate retrieval
- Operate within a high-impact setting focused on swift experimentation and product deployment
- Monitor and research industry developments regarding recommendation systems
Requirements
- Minimum of 2 years of industry experience applying machine learning methods such as personalization, user modeling, recommender systems, search, ranking, graph representation learning, natural language processing, or reinforcement learning
- End-to-end practical experience building big data technologies, large-scale machine learning systems, and data processing pipelines like Hadoop or Spark
- Expertise in scalable real-time systems that process stream data
- Demonstrated enthusiasm for applied machine learning and the company product
Qualifications
- Master of Science or PhD degree in Machine Learning or related disciplines
- Familiarity with AI coding assistants such as Cursor, Copilot, or Codex for software development, testing, debugging, and refactoring
- Experience using LLM-powered productivity tools for documentation search, data exploration or SQL, experiment analysis, and workflow acceleration
Core Skills
Frequently Asked Questions
What is the location and remote work policy for this job?
The posting indicates an on-site role that follows a working model where employees gather for key moments of collaboration and connection, as detailed on the employer's PinFlex page.
What is the salary range for this position?
The base salary range is $170,840 to $220,840 CAD specifically for Canada-based applicants. Final compensation depends on factors such as location, travel, relevant prior experience, and specific expertise.
What are the primary experience requirements?
Candidates must have at least two years of industry experience applying machine learning methods, along with end-to-end practical experience in building large-scale machine learning systems, data processing pipelines, and big data technologies like Hadoop or Spark.
Is relocation assistance provided?
No, this position is not eligible for relocation assistance according to the job listing.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.