AI Research Engineer @ Gradient Labs
We are Gradient Labs — an AI company based in London, UK.
Gradient Labs was founded in June 2023 by **Dimitri Masin, Danai Antoniou**, and Neal Lathia; we are technical founders who met at Monzo Bank — where, over the last 4-7 years, we built all things data and ML across different parts of the company.
We have closed seed funding from a range of fantastic investors and angels and are currently building our first product with a handful of big name enterprise design partners whose services you are likely using on a daily basis.
We are a small, but growing team, who come from companies like Monzo, Hashicorp, Google, Revolut, and Geckoboard.
💬 We’re building AI systems that can act like humans
Gradient Labs is on a mission to redefine customer support for the next decade.
We are building a suite of LLM-based autonomous agents that can safely automate customer support queries in complex and higher-risk environments, and give companies visibility & control over the outcomes the agent achieves.
🔭 As an AI Research Engineer at Gradient Labs, you will…
As an AI Research Engineer at Gradient Labs, you would spend your time doing:
- Research & prototyping: you’d keep abreast of the latest NLP and generative AI research and developments in both open-source and proprietary LLMs. You will prototype and experiment with the newest research findings to identify opportunities to enhance our platform with the latest state-of-the-art.
- Optimisation: you would develop, evaluate, and optimise the prompts and models that underlie our agents’ skills and chains. This includes contributing to defining and building the evaluation methodologies we’ll need — from preparing & curating datasets through to shipping successful approaches into our platform.
- Data analysis: you would analyse datasets of customer queries, support tickets, and related information to gain insights into patterns and discover areas that our agents could further automate.
🌟 We’re looking for people who are..
- Excited to push the boundaries of what’s possible for autonomous agents that imitate human behaviour
- Motivated to operate in a fast-pace environment, rather than longer research cycles
- Can quickly summarise, replicate, and test ideas from research papers
- Driven more by making an impact on the products they’re helping to build than academic research outcomes
- Can persevere: many ideas you will experiment with will be ambiguous and might fail, a successful person in this role will find the strength to keep trying