🛠 Tech Stack

💼 About This Role

You'll lead the execution layer of A1's proactive AI chat app, owning ML systems from data pipelines to production deployment. Your core impact is making models trainable, deployable, and performant under real-world constraints. This role sits at the intersection of research, infrastructure, and product, where you'll fine-tune large models using state-of-the-art methods and architect scalable inference systems.

🎯 What You'll Do

• Own end-to-end ML system execution
• Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO
• Architect and operate scalable inference systems
• Design and maintain data systems for training data

📋 Requirements

• Production-grade Python and PyTorch or JAX
• Experience shipping real ML systems to users
• Deep understanding of large model failure modes
• Strong system design for reliability and scalability

✨ Nice to Have

• Experience with LoRA and QLoRA fine-tuning methods
• Background in evaluation pipelines for safety and bias
• Familiarity with GPU optimization and memory efficiency

🎁 Benefits & Perks

• 🏖️ Flexible remote work within UK
• 💰 Competitive equity package
• 📈 Professional development budget
• 🏥 Health insurance coverage

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Final Round· 45 min