Machine Learning Research Engineer (Foundational Research)
Job description
As a Machine Learning Research Engineer (Foundational Research), the work centres on employment Type : Full-Time. It would suit someone who can bring handling site-by-site responsibilities with consistency and care to the role.
Where the work sits
Employment Type : Full-Time. 3 years of hands‑on experience building ML / NLP / AI systems with strong software engineering practices.
What helps in this setting
Handling site-by-site responsibilities with consistency and care. Strong professional approach.
Practical details
- This builds upon our flexible work arrangements including work from anywhere for up to 8 weeks per year empowering employees to achieve a better work‑life balance.
- On‑the‑job coaching and learning as well as the opportunity to work with cutting‑edge methods and technologies.
- Competitive compensation & benefits packages.
- We’ve adopted a flexible hybrid working environment (2‑3 days a week in the office depending on the role) for our office‑based roles while delivering a seamless experience that is.
What needs to be in place
- Experience building LLM evaluation frameworks benchmarking systems or automated testing pipelines.
- Hands‑on experience with agentic workflows tool‑using AI systems or multi‑agent coordination (examples include : langgraph AutoGPT LLamaIndex).
- Hands‑on experience with MLOps experiment tracking and model deployment systems.
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