Algorithm Research Engineer

Що очікуємо

• Algorithms and data structures. Graphs (traversal, topological sort, MST, cycle detection), heuristic and combinatorial optimization (greedy, local search, 2-opt), spatial indexing, complexity analysis.
• Advanced mathematics. Calculus; interpolation (splines, smoothing, resampling); approximation theory (error bounds, simplification); regression analysis (least squares, PCA, fitting noisy measurements); optimization (constrained and heuristic).
• Computational geometry. Polygon operations, offsetting, distance transforms, skeletonization, robustness on degenerate input.
• Python. Strong, vectorized numeric code; typed, tested, and reviewable.
• LLM and AI tools (required). Daily use for research, prototyping, and test generation, with rigorous verification of every output.