TL;DR

Research Engineer, Autonomous Agents (AI): Designing and implementing use-case-focused technology prototypes and evaluation protocols for AI assistants with an accent on imitating and replicating human-like helpful and collaborative behaviors. Focus on pragmatic study of autonomy, responsibility, and intelligent reasoning and understanding to improve the ability of systems to practically help in real-world tasks.

Location: Onsite in London, UK

Company

%hirify_global% is a team of scientists, engineers, and machine learning experts dedicated to advancing state-of-the-art artificial intelligence for widespread public benefit and scientific discovery.

What you will do

Design and implement use-case-focused technology prototypes.
Design and implement human-driven evaluation protocols.
Partner with research scientists to design and implement candidate technical solutions for assistant technology challenges.
Keep up with technical developments in areas such as large model training, data processing, shared evaluation exercises, LLMs, tool-use, reasoning, memory, and self-improvement.

Requirements

Strong academic record, ideally at MS/MSc/MEng level or above.
Industry experience involving engineering work pertaining to neural networks or ML methods.
Strong knowledge of Python and strong software engineering skills.
Strong knowledge of machine learning and working knowledge of statistics.
Experience working with accelerators like GPUs and TPUs.
Experience with large-scale data processing frameworks (e.g., Apache Beam, Spark) or distributed training infrastructure.

Nice to have

Experience with LLMs, in particular with fine-tuning and associated methods (RLHF, preference optimization, etc).
Experience with data collection/annotation and evaluation/benchmarking, including benchmark design.
Experience in large-scale training, with a focus on compute-optimal configuration, hardware profiling, and training stability at scale.
Experience with UX/UI, or at least the ability to partner with specialist engineers to deliver usable software prototypes.

Culture & Benefits

Value diversity of experience, knowledge, backgrounds, and perspectives.
Committed to equal employment opportunity regardless of sex, race, religion, or other protected characteristics.
Accommodation for disabilities or additional needs.