The posting
We are seeking an early\-career research scientist.
You will take open, loosely defined problems from first question to a working, validated, defensible result. This is hands\-on applied research: you will own the problem end to end, build the solution yourself, and be accountable for whether the evidence actually holds.
What you will do
* Take ownership of applied machine\-learning research problems end to end: framing the question, assembling and cleaning the data, choosing and implementing the method, evaluating it honestly, and reaching a defensible conclusion. * Build and validate models on messy, real\-world data, with rigorous attention to data quality, data leakage, regime change, and genuine out\-of\-sample performance. * Implement methods from first principles where needed, in Python and, where appropriate, a compiled or systems language. * Design evaluation harnesses and benchmarks so that your own results, and the team's, are reproducible and falsifiable rather than merely asserted. * Communicate your reasoning and results clearly to both technical and non\-technical colleagues, and independently reproduce and pressure\-test teammates' results. * Work collaboratively in a small, high\-density team, and raise the way the team works, not only your own output. j4id10430730jm j4it1041jm j4iy26jm



