Role-ordered prep · free
DSA prep for an ML engineering role
DSA Tracker's ML roadmap is a free, role-ordered study plan for ML coding interviews: the same curated problem set, with the 6 topics this role tests most (125 problems) first.
ML loops tilt toward math and DP-flavoured optimisation rather than graph traversal: 6 core topics, 125 of our 370 problems, with matrices and math sitting in the core tier. Expect the DSA round to be mixed with applied stats and modelling questions elsewhere in the loop.
Updated 2026-10-21Learn these first
Core topics for a ML loop. Everything else waits until these hold.
- 1ArraysWalk through it →
- 2MatrixWalk through it →
- 3MathWalk through it →
- 4Dynamic ProgrammingWalk through it →
- 5RecursionWalk through it →
- 6Binary SearchWalk through it →
Then these
Problems to start with
Named problems from this role's core topics, easiest first. Each page shows which roles treat it as core, which sheets carry it, and the companies that have asked it.
What this ordering pushes down
Strings, linked lists, binary trees, BSTs, graphs, backtracking, stacks, queues, tries, intervals and greedy sit below the core tier for ML engineering. String parsing and pointer structures give way to matrix work, math and dynamic programming, the shapes that actually recur in model and feature code. Still a ranking, not a guarantee: graphs return the moment the interview turns to embeddings or a recommendation problem.
Why an order beats a list
Every popular sheet hands all 370 problems to everyone in the same fixed sequence. A ML interview does not weight them the same way a backend interview does, so a fixed list spends your first weeks on topics your loop barely tests. Pick this role in the app and the same problems re-sequence: core topics first, the rest after.
Questions
How much DSA does an ML engineer need?
6 core topics covering 125 of our 370 problems (arrays, matrices, math, dynamic programming, recursion and binary search). Graph-heavy rounds are less common than for a generalist SDE.
Do ML interviews really include LeetCode-style rounds?
At most product companies, yes, usually alongside ML-specific rounds. The coding round format barely changes by role; the topic weighting does.
Should I still learn graphs?
Worth knowing, but below the core tier for this role. Matrices, math and DP earn your time first.
Preparing for a different role?
23 more roles are available inside the app; pick yours on the Problems page.