Staff Machine Learning Engineer, Ads Bidding & Pacing
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
1,120 open learning roles across 237 companies are on ApplySarthi right now, most of them in Bengaluru (70), Hyderabad (23), Delhi NCR (13).
- Senior Backend Engineer: Machine Learning InfrastructureJobgether
- 2027 Summer Applied Science Internship - Information & Knowledge Management (Machine Learning)- United States, PhD Student Science RecruitingAmazon
What learning roles keep asking for: Machine learning (52%), Python (39%), LLMs (24%), PyTorch (23%), Deep learning (18%), AWS (15%), Generative AI (13%), Spark (12%) — counted across their open postings here.
Machine Learning Engineer jobs in the United States · Machine Learning Engineer jobs in San Francisco · Machine Learning Engineer jobs in Palo Alto · Machine Learning Engineer jobs in Seattle · Remote Machine Learning Engineer jobs · LLMs jobs · Machine learning jobs · SQL jobs
Pinterest has 152 open roles listed here.
- Sr. Client Partner (Gaming/App)
- Client Account Manager II
- Principal Engineer, Shopping & Delivery Infra
- Sr. Manager, Machine Learning Engineering, Ads Measurement Products
- Manager II, Engineering- Analytics Engineering, Core Data Science
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for learning roles keep coming back to Machine learning, Python, LLMs, PyTorch. 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 Machine learning? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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 Bidding & Pacing 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.
Pinterest is one of the fastest growing online ad platforms, and our success depends on building a suite of bid strategies that help advertisers achieve their goals within the Pinterest marketplace.
We support both automatic bidding (maximizes the number of clicks, conversions and GMV) as well as target average bidding (CPA or ROAS targets) for Pinterest ads. We’re looking for an ML engineer with experience in ads delivery, machine learning, bid landscapes, and automatic bidding / ads pacing to develop new data-driven techniques to drive ads delivery performance and maximum ROI for advertisers, growing Pinterest’s revenue stream.
What you’ll do:
- Design target ROAS and automatic bidding & pacing algorithms for ads.
- Explore bid landscapes to maximize revenue and advertiser value.
- Work with product and sales teams to design and implement bidding strategies for new ad products.
- A/B Experiment with bidding algorithm improvement ideas.
- Collaborate with other teams to identify bidding and budgeting opportunities and capitalize on them.
What we’re looking for:
- Bachelor's degree in Computer Science, Statistics, a related field, or equivalent experience.
- 6+ years of industry experience in ads delivery, automatic bidding / pacing, target ROAS bidding, ads marketplace / utility, or machine learning.
- Proven Staff-level technical leadership as an IC: driving technical direction and cross-team alignment without formal people management.
- Demonstrated ability to use AI to improve speed and quality of your workflow, with a strong track record of validating and stress-testing AI-assisted outputs.
- Degree in Computer Science, Statistics, or a related field.
- Direct experience specifically with bidding or pacing is a big plus.
- Bachelor's degree in computer science, statistics, engineering, or
- 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.
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 3 times per quarter and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.
#LI-HYRBID
#LI-SM4
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:
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Content Designer II, PersonalizationPinterest
- Data Scientist II, InfrastructurePinterest
- Director, Technical Program Management-MonetizationPinterest
- Engineering Manager II, Media RenderingPinterest
- Finance Manager I, Technology InfrastructurePinterest
- Machine Learning Engineer, Core EngineeringPinterest
- Machine Learning Engineer II, Responsible AIPinterest
- Machine Learning Engineer II, Visual AIPinterest
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-09-29. ApplySarthi collects openings and links to application pages; the role is advertised by Pinterest, not by us.