PhD University Grad Machine Learning Engineer (USA)
A machine learning and AI role at Pinterest, on-site in San Francisco, CA, US. The posting asks for Machine learning, NLP, Python and Java. Suits fresh graduates.
San Francisco, CA, US
On-siteNew grad, fresh graduate or trainee roles. No work experience needed.
Pay not stated
Full-time
Posted 1 Oct 2026What they ask for
How Pinterest hires
- 1
Application review
Application screen · From the company
A recruiter reviews your application against the role requirements.
- 2
CodeSignal assessment (interns and new grads)
Online test · From the company
Early-career candidates take a CodeSignal coding assessment and need a passing score to continue.
- 3
Recruiter phone screen
Recruiter screen · 30 min · From the company
A call about your interests and expectations for the role, plus details of the upcoming technical interview.
- 4
Technical interview with an engineer
Technical interview · 60 min · From the company
A one hour technical interview. For interns this is the final interview before the hiring committee.
- 5
Three further technical interviews (new grads)
Panel interview · 180 min · From the company
New grads who pass then take three more technical interviews of about an hour each, three hours in total.
- 6
Hiring committee and offer
Offer · From the company
A hiring committee reviews the interview feedback and decides on an offer.
What comes up
Roadmaps and cheat sheets for this role
Matched to the skills and level this job asks for.
- RoadmapMachine learningData, models, deep learning
- RoadmapAI engineeringBuild products on LLMs and generative AI
- RoadmapDSA and problem solvingData structures and patterns
- Cheat sheetMachine learningData, models, deep learning.
- Cheat sheetAI engineeringBuild products on LLMs and generative AI.
- Cheat sheetDSA and problem solvingData structures and patterns.
Worth reading before you apply
From the Sefism resource library, matched to this role and Pinterest's rounds.
A foundations course that builds eleven core data structures from the ground up (arrays, matrices, stacks, queues, linked lists, trees and BSTs, hash tables, hash sets, heaps, graphs and tries), then covers sorting, searching, greedy and divide and conquer. Every chapter has practice problems, flashcards and an assessment. It suits students and career switchers whose foundations came from tutorials and who find pattern courses move too fast.
- Job search
- DSA
- CS fundamentals
A browsable practice library of coding problems that can be filtered by pattern, data structure, difficulty and company, so you can drill exactly the weakness you found this week. Patterns include two pointers, sliding window, hash maps, stacks, backtracking and greedy algorithms, with company filters for Google, Meta, Microsoft, Amazon, Oracle and LinkedIn. Free to browse, with an in-browser editor and solutions.
- Job search
- DSA
A practical course on negotiating compensation in tech, from preparing and building a strategy to specific tactics, the full package beyond base salary, handling multiple offers and asking for a raise. It has tailored sections for fresh graduates and experienced engineers. It suits anyone with an offer coming, and anyone who has ever accepted the first number out of discomfort.
- Career
- Job search
On-demand mock interviews with an AI interviewer for coding and system design rounds. It asks questions, follows up on your reasoning the way a real interviewer would, and ends with detailed feedback and a custom improvement plan. It suits software engineers preparing for technical interviews who want to practise whenever they are free and repeat sessions until their answers feel natural.
- AI
- Job search
- Career
A quick-revision companion to the DSA roadmap in nine chapters: complexity, arrays and hashing, linked lists, stacks and queues, recursion, sorting and searching, trees and heaps, graphs, coding patterns, dynamic programming and timed practice habits. Costs are stated for every structure and algorithm, in Python, Java, C++ or JavaScript editions. Use it after each roadmap stage and before a contest or coding round.
- Programming
- DSA
- Web
An eight-stage path from Big-O through arrays, hashing, recursion, trees, graphs, coding patterns and dynamic programming to timed, mixed practice, in Python, Java, C++ or JavaScript. It suits students and developers who can write code but freeze on problems with no obvious library call. By the end you can pick the right data structure, recognise common problem shapes and solve a medium problem in about 35 minutes with edge cases tested.
- Programming
- DSA
- Web
The full description, requirements and how to apply are on the company's own posting. This page is a summary so you can decide whether it is worth opening.
Verification
3 of 4 checks- Company verified
- Posting checked
- Still open
- Not confirmed by the company
Last checked today (30 Oct 2026)
About the company
Runs a visual discovery platform where people save and search images and ideas, funded mainly by advertising.
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