Senior Research Engineer

About the job

We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and GenAI. We are looking for a Senior Research Engineer with experience in advanced machine learning systems to work with our team of industry leading domain experts and engineers. Our platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience.

Key Responsibilities:

• Solution development : Translate latest ML advances into impactful solutions and products, from MVPs to fully deployed systems.
• Novel Applied Research : Innovate upon state-of-the-art ML research applied to consumer personalisation.
• Performance optimisation : Optimise machine learning models for performance in modern environments (e.g., distributed clusters, GPUs).

Essential Qualifications:

• Hands on experience: 3-5+ years implementing applied machine learning research in commercial context.
• Education: MSc in Computer Science, Machine Learning, or a closely related field.
• Machine Learning Expertise: Strong foundation in machine learning and deep learning algorithms (e.g., deep neural networks, supervised/unsupervised learning, reinforcement learning, transformers, GNNs).
• Programming Proficiency: Excellent Python programming skills with experience in developing and debugging production-level code.

Desired Skills (Bonus Points):

• Generative AI: Strong practical understanding of LLMs and transformers.
• Recommender Systems and/or Behavioural AI knowledge.
• Reinforcement Learning knowledge.
• Bringing Models to Production - specifically building data pipelines (realtime or batch) & data quality using modern toolchain.
• PhD in a related field.

What We Offer:

• A dynamic and collaborative work environment.
• A chance to work with cutting-edge technologies and solve challenging problems.
• Competitive compensation.
• Equity in a rapidly growing company.