Research Engineer (AI)

TL;DR

Research Engineer (AI): Developing, maintaining, and improving large-scale multimodal models and data pipelines for neural network training and evaluation with an accent on ML experimentation, distributed computation, and system design. Focus on collaborating to implement new methods for evaluating generative models and collecting human data.

Location: Onsite in London, UK

Company

hirify.global is a team of scientists, engineers, and machine learning experts working to advance artificial intelligence for public benefit and scientific discovery, prioritizing safety and ethics.

What you will do

• Develop, maintain, and improve large-scale multimodal models and data pipelines (used for training and evaluation of models).
• Collaborate with team members to develop and implement new methods for evaluating and improving multi-modal generative models, particularly at the post-training stage.
• Develop and maintain pipelines to collect human data.

Requirements

• Proven experience building codebases that support machine learning at scale.
• Familiarity with ML / scientific libraries (JAX, TensorFlow, PyTorch, Numpy, Pandas), distributed computation, and large-scale system design.
• Strong working knowledge of machine learning and statistics.
• Must work onsite in London, UK.

Nice to have

• MSc or PhD/DPhil degree in computer science, physics, mathematics, applied stats, machine learning, or similar experience.
• Experience with LLMs, VLMs, and/or diffusion models training and inference.
• Experience working in industry on team projects from early (proof-of-concept) to late stages (implementation and evaluation).

Culture & Benefits

• Value diversity of experience, knowledge, backgrounds, and perspectives.
• Committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition.
• Provide accommodation for disabilities or additional needs.
• Harness qualities to create extraordinary impact.
• Collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.