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Senior research engineer

Cambridge
algo1
Research engineer
Posted: 11h ago
Offer description

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.

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