Algorithm Research Engineer

Job description

Short-term contract · Competitive salary · Remote

Looking for an Algorithm Research Engineer for a machine automation project. Project details are shared with shortlisted candidates only.

Hard skills:

- 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.

Soft skills:

- Rational, critical thinking: you challenge assumptions, including your own, and separate what is proven from what is assumed.

- You look for failure modes before building and design fallbacks from the start.

- Clear, concise written communication and honest status reporting.

- Independent work on open research problems, and the judgment to narrow scope when needed.

- Discretion with confidential work.

Technology:

- Core: Python 3.12+, NumPy, SciPy, Shapely 2.x, pyclipper, scikit-image, NetworkX, OpenCV.

- Quality: pytest, Hypothesis (property-based testing), ruff, mypy.

- Platform: Docker, PostgreSQL, FastAPI, Git.

Terms:

- Short-term contract, 2-3 months, with possible extension.

- Competitive salary.

- B2B / contractor arrangements welcome.