Target

Typical interview loop

How Target usually runs it for applied AI and LLM engineer roles.

1. 1

   Application and skills check

   Focus: Baseline role fit

   You apply through Workday, and some applications include a short assessment of job-related skills.

2. 2

   Recruiter screen

   Focus: Motivation and fit

   A recruiter gets in touch to talk through Target, the role and the team before interviews are set up.

3. 3

   Technical exercise

   Focus: Hands-on coding and craft

   For tech roles the interview can include paired programming, a walkthrough of past work, or coding exercises; your recruiter confirms which.

4. 4

   Role and values interview

   Focus: Job knowledge, values, collaboration

   Interviewers mix role-specific questions with questions on Target's values, such as working with people who think differently and making work count.

Topics to prepare for Target

The topics its loop weighs most, each with what interviewers check and what to study.

• Embeddings basics: word2vec, contrastive learning, what embeddings captureML fundamentals
• Behavioral interviews: STAR stories for AI engineersBehavioral
• Python for ML interviewsCoding
• Calling LLM APIs in Python: async, streaming, retriesCoding
• The project deep-dive roundBehavioral
• Story bankBehavioral
• Interview openers and closersBehavioral
• Self-attention from scratchTransformers

How it weights your plan

Selecting Target when you build a plan multiplies each topic’s priority score: