👋 About Renude
Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including : skin analysis, product recommendation and LLM-based chat.
W e’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise.
We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision modelsthat power real customer interactions.
🔧 What We Offer
* Train, evaluate and deploy agentic AI systems and computer vision models for real-world use
* Collaborate with product and engineering to integrate ML systems into user-facing features
* Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines
* Stay up-to-date with the latest advancements in AI, conductresearch, and explore innovative techniques
* Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions
✅ What We're Looking For
Must-Haves
* 4+ years experience writing production ready code for machine learning systems
* 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products
* Familiarity withRAG orchestration frameworks such as LangChain or LlamaIndex.2+
* Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning
* Strong Python skills and experience with PyTorch, TensorFlow or Keras
* Exposure to MLOps practices and hands-on experience with Sagemaker and / or Vertex AI
* Bachelor's degree in a technical field such as computer science or years of equivalent experience
* Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment
Nice-to-Haves
* Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field
* 2+ years experience training and optimising computer vision models
* Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systemsExperience with Django or similar Python web frameworks
* Familiarity with Docker and containerised development
* Exposure to CI / CD pipelines and infrastructure-as-code
🌱 What We Offer
* Competitive compensation (based on experience and location)
* Remote-friendly culture with flexible working hours
* Opportunity to work with cutting edge technologies
* High ownership and real technical influence
* A supportive team that values product excellence and personal growth
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