Internship opportunity · Machine Learning & Data Science

Machine Learning Engineer Intern

Learn the machine-learning workflow: preparing data, establishing baselines, evaluating models and explaining results with appropriate caution.

Job ID:GC-IN-006
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Employment typeInternship
Job referenceGC-IN-006
Role familyMachine Learning & Data Science
Candidate profileStudent / early-career
About the opportunity

What this role is about

Learn the machine-learning workflow: preparing data, establishing baselines, evaluating models and explaining results with appropriate caution.

GrapeCrux values practical problem-solving, clear communication and responsible engineering. The work is shaped around business needs, user outcomes and the quality of the solution delivered.

What you'll do

Responsibilities

  • Prepare and inspect datasets for completeness, consistency and leakage.
  • Perform exploratory analysis and document observations.
  • Build or adapt baseline models with established Python libraries.
  • Evaluate models with suitable metrics and validation approaches.
  • Compare experiments and record assumptions and limitations.
  • Present findings in notebooks, charts or short written summaries.
What you should bring

Required skills and experience

  • Basic Python programming and comfort working with data.
  • Introductory statistics, probability or quantitative reasoning.
  • Understanding of training, validation and overfitting.
  • Ability to interpret simple charts and metrics accurately.
  • Careful documentation and willingness to question unexpected results.
Additional strengths

Helpful experience

  • Pandas, NumPy, scikit-learn or Jupyter notebooks.
  • Classification, regression, clustering or feature engineering.
  • SQL or dataset preparation experience.
How contribution is assessed

What success can look like

  • Experiments are reproducible and use appropriate validation.
  • Results are interpreted in context, including uncertainty.
  • Data and model assumptions are documented.
Recruitment information

Terms and working arrangements

Internship structure, duration, any stipend or compensation, work location and collaboration arrangements are discussed with shortlisted applicants and confirmed before acceptance. No fixed duration or stipend amount is advertised on this page.

Shortlisted applicants receive the relevant role expectations and written terms to review before deciding whether to accept an offer.

Selection approach

What happens after applying?

  1. The team reviews your application against the role requirements and the information you provide.
  2. Shortlisted candidates may be invited to discuss experience, projects and approach to the work.
  3. A role-related technical discussion or practical exercise may be used where relevant. The format and expectations will be explained in advance.
  4. Any next steps and applicable conditions are shared directly with selected candidates.
Internship application

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