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Updated weekly · Last refresh Oct 12

1X Technologies AS Research Scientist Interview Questions

The questions to prepare for a 1X Technologies AS Research Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
CodingStart here. 3 questions · ~30 min
ML-Relevant Data Structures and AlgorithmsHard
Practice

Find the top-k most similar vectors using cosine similarity and a bounded heap.

Hash TablesArraysData Structures1X Technologies AS
Time Complexity and OptimizationsEasy

Tests your ability to analyze performance and improve runtime or memory efficiency.

Dynamic ProgrammingSearchingSorting1X Technologies AS
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2
More topics6 questions · ~61 min
Model Performance EvaluationHard

Explain how to select metrics, validate predictions, and analyze errors when evaluating a machine learning model.

model performanceevaluation metricsPrecision1X Technologies AS
Model Trade-offs for EfficiencyMedium

Tests your ability to choose models that balance performance and compute constraints for real-world robotics workloads.

Hyperparameter TuningCross-ValidationBias-Variance Tradeoff1X Technologies AS
Designing Experiments for AlgorithmsEasy

Tests your experimental design skills, including controls, metrics, and statistical rigor.

ExperimentationHypothesis TestingA/B Testing1X Technologies AS
Approach to Underperforming ModelsMedium

Structured approach for diagnosing an underperforming model and deciding whether to fix data, thresholding, calibration, or the model.

PrecisionAccuracyRecall1X Technologies AS
Reinforcement Learning ApplicationsEasy

Tests your understanding of reinforcement learning fundamentals and where it fits in decision-making systems.

Deep LearningSupervised LearningGradient Descent1X Technologies AS
Bias Detection and MitigationHard

Tests your ability to audit data for bias and apply mitigation strategies with measurable impact.

ExperimentationCorrelationCausal Inference1X Technologies AS

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