How do I apply for the Research Engineer Intern position at hiverge and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at hiverge paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Research Engineer Intern role?

This position is a full-time, structured as a on-site role, with an expected duration of 3 months.

What educational background or degree level is required for the Research Engineer Intern at hiverge?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does hiverge provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Research Engineer Intern

hiverge

Found 2 months ago

Location

Cambridge, United Kingdom

Duration (Months)

3 Months

Time

Full-time

Work Mode

On-site

Salary

competitive compensation

Visa Help

Not disclosed

Last Verified

2 months ago

Education

Master

Skills & Qualifications

Technical Skills

Python
PyTorch
JAX
LLM tooling
evaluation frameworks
performance profiling

Soft Skills

strong reproducibility
observability
better efficiency
implement new ideas

Job Description

This role designs, trains, and evaluates LLM‑centric systems. The work blends implementation, experimentation, and benchmarking. As a Research Engineer Intern you will: Support the development of scalable experimentation foundations with strong reproducibility and observability Help create and improve robust prompt and code-selection tooling. Assist in optimizing our system’s inference and infrastructure for better efficiency. Work with the team (ML engineers and researchers) to implement new ideas. Engage with the research community to advance the state of algorithmic discovery.

Requirements

Masters degree in Computer Science, Engineering, related field, or equivalent experience.
Strong coding skills in Python and experience with PyTorch/JAX and modern LLM tooling for inference and fine‑tuning.
Experience in applied research engineering, demonstrated by impactful academic projects or internships in LLMs, search/RL, or compilers/verification.
Exposure to evaluation frameworks, unit/property‑based testing, and performance profiling.

AI & Machine Learning

AI Research

Nice to Haves

Contributions to open research or community tooling.
Familiarity with algorithm design, and practical understanding of reinforcement learning, evolutionary methods and optimization methods.

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