Join a high-impact, collaborative team of Machine Learning and Backend Engineers dedicated to operational excellence
Architect the intelligence that transforms how billions of media items are understood and surfaced
Lead strategic decisions on model architecture and LLM orchestration
Tackle subjective challenges—like visual style, aesthetics, and semantic understanding—that require nuanced modelling and rigorous iteration

More than 5 years of hands-on experience in designing and developing complex ML models, especially in computer vision
Experience in R&D and conducting literature reviews on the latest ML techniques
Proficient in PyTorch and setting up cloud ML infrastructure, with familiarity in LLMs and prompt engineering as a must
Familiar with embeddings and vector databases
Experience working with microservices and large monorepos
Follow disciplined coding practices, actively participate in code reviews, and set best-practice standards for peers
Strong written and verbal communication skills and excel in team collaboration
Hold a Master’s or PhD degree in a machine learning discipline (desirable)
Experience with Ray, Weights & Biases, and Kubernetes (desirable)
Experience hosting LLM architectures and fine-tuning them through reinforcement learning (desirable)

Equity packages
we want our success to be yours too
Inclusive parental leave policy that supports all parents & carers
An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more
Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally

Senior Machine Learning Engineer – Content Enrichment

Key skills