Research Engineer

Prepare for the company, not just the title

Research Engineer is a broad label, and the work, role boundaries, and interview loop can change substantially between companies. Choose a company to see what real candidates faced, what the role demands, and where to focus your prep.

6Company playbooks
22Practice items
1Direct role loop

Company playbooks

Choose your target company

See the strongest candidate evidence we have for each company and role. Adjacent roles are labelled clearly.

Still deciding?

Compare before you specialise

Keep your preparation broad until you know the company and team you are targeting.

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Company playbook

xAI

Member of Technical Staff

Adjacent role evidenceClosest covered engineering role

Our current xAI evidence covers Member of Technical Staff and Exceptional Engineer roles, not an exact Research Engineer loop. It points to coding, practical depth, autonomy, and broad end-to-end thinking.

Interview map

Closest covered xAI loop

5

This is adjacent engineering evidence. Team-specific research loops may differ substantially.

  1. 01

    Recruiter or team screen

  2. 02

    Progressive coding assessment

  3. 03

    Coding with practical technical follow-ups

  4. 04

    System design or domain-specific technical round

  5. 05

    Short hiring manager conversation

Evaluation focus

What the current evidence points to

These themes come from the covered role shown above. Adjacent roles are labelled as such.

01

Coding baseline

Clear the implementation task quickly and cleanly

02

Practical depth

Move from a broad answer into concrete mechanisms

03

Breadth

Connect code, infrastructure, product, and operations

04

Autonomy

Show that you can build without heavy process or guidance

Practice plan

What gets tested, and what to practise for it

22challenges6practice areas11h 37mtotal practice

Every challenge is grouped by the skill it builds. xAI priorities are marked.

Browse the full library
01Coding and debugging under timeRead unfamiliar model code, find the defect, and implement a clean fix under pressure.5 challenges1h 9m
02Training systems and diagnosticsDiagnose distributed training, checkpointing, throughput, and run-level failures without jumping to the first explanation.6 challenges2h 6m
03Experimental rigour and eval designSeparate real results from noise and design evaluations that can change a decision.2 challenges1h 14m
04Alignment reasoningTrace failures through the training pipeline, then propose evaluations and mitigations concrete enough to run.5 challenges4h
05Interpretability investigationForm a mechanistic hypothesis and design the experiment that could prove it wrong.3 challenges2h 56m
06Additional practiceNew Research Engineer challenges that have not yet been assigned to a core practice area.1 challenge12 min