Machine Learning Engineer, Core Engineering
Pinterest · San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US
Posted about 3 months ago
or apply directly on Pinterest's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Pinterest's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of Pinterest's roles list one
- Ghost-job risk at Pinterest
- high 189 stale, 10 reposted of 190 open
- Hiring momentum
- 330 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Pinterest's own greenhouse board since 2026-08-03. Full hiring picture for Pinterest.
About this role
As a Machine Learning Engineer at Pinterest, you will develop advanced technology using deep learning and machine learning to enhance the personalization of the platform. Your role involves collaborating with various teams to experiment with and improve machine learning models across different product areas, utilizing data-driven methods to enhance candidate retrieval and working in a fast-paced environment focused on quick experimentation and product launches.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Pinterest as an employer.
What you need
- 2+ 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)
- Bachelor’s degree in computer science, machine learning, statistics, a related field or equivalent experience
Nice to have
- M.S. or PhD in Machine Learning or related areas
- 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
What you get
- Base salary range of $138,905 — $285,982 USD
- Eligible for equity
Worth weighing
- No relocation assistance offered
- Salary range provided but final salary depends on various factors
- Position is remote but only for US-based applicants
Summarised from Pinterest's posting. Read the full original.
Listed by Pinterest on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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