Staff Machine Learning Engineer, Ads Conversion Core Modeling
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Skills named in this job
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This role on the market
41 open conversion roles across 16 companies are on ApplySarthi right now, most of them in Chennai (3), Bengaluru (3), Pune (1).
- Senior Conversion Design Analyst (f/m/d)Good Hood Gmbh
- Senior Product Designer, Growth and ConversionNPR
- Control Application Engineer - Power ConversionHitachi
- HR Services Administrator_TM_ConversionIBM
- Recon Conversion - Assistant Vice PresidentStatestreet · bengaluru
What conversion roles keep asking for: Excel (15%), Machine learning (12%) — counted across their open postings here.
Machine Learning Engineer jobs in the United States · Machine Learning Engineer jobs in Palo Alto · Machine Learning Engineer jobs in Seattle · Machine Learning Engineer jobs in San Francisco · Remote Machine Learning Engineer jobs · LLMs jobs · Machine learning jobs · SQL jobs
Pinterest has 153 open roles listed here.
- Sr. Manager, Capacity Engineering
- Client Account Manager II
- Sr. Manager, Strategic Sourcing
- Technical Program Manager II, Shopping Platforms
- Sr. Agency Partner (New)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for conversion roles keep coming back to Excel, Machine learning. Practise those questions before you sit with Pinterest.
Questions you are likely to be asked
- Why do you want to join Pinterest?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Staff Machine Learning Engineer, Ads Conversion Core Modeling at Pinterest interview free →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 are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace.
What you’ll do:
- Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion.
- Design and build large-scale DNN models to improve user action prediction with low latency.
- Mine text, visual, and user signals to better understand intention and infer interests from online activity.
- Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality.
- Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle.
- Coach and mentor engineers while collaborating with product and sales to design new ad products.
What we’re looking for:
- Bachelor's degree in Computer Science, Statistics, or a related field.
- 6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking).
- 2+ years of experience leading technical projects or teams.
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
- Experience with 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.
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables.
- Strong mathematical foundation and experience with statistical methods and A/B testing.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex 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: San Francisco, Palo Alto, Seattle.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion:
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Listed on greenhouse · posted 2026-07-08. ApplySarthi collects openings and links to application pages; the role is advertised by Pinterest, not by us.