Software Scientist - Fully Remote
Location: United Kingdom
We are developing adversarial tests for Large Language Models (LLMs). We are looking for a passionate, talented, and innovative applied scientist with a strong background in algorithms to help build an industry-leading evaluation engine for LLMs and help us bring this to market. You will have a strong say in how our science and product roadmap evolves.
Our mission is to provide the fastest and most accurate testing environment to add value to AI engineers wishing to deploy AI applications using LLMs. We do this to push forward the SoTA in Artificial Intelligence and to achieve the best possible chance of a human-aligned AGI.
As an Applied Scientist in a startup you will have a key role in our team. You will work with the Chief Scientist to design, develop and deploy evaluation technologies that will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM.
Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product offering.
Build algorithms, perform offline and A/B test experiments, optimise and deploy your models into production, working closely with software engineers.
Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving.
PhD in Computer Science, Computational Engineering, Machine Learning, Statistics or a related field
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Strong programming skills in Python, Java, C++, or a related language
Familiarity with core tools for a typical ML-focused work environment (e.g. Be comfortable with a fast-paced, high-risk, and a high reward environment
Experience creating data sets
Experience deploying solutions to AWS or other cloud platforms
Excellent communication skills, solid work ethic, a strong desire to write production-quality code
Competitive salary, bonus, and share options in our startup;
Company issued laptop, workstation, and tech allowance;
Flexible/remote work environment. We are based in Cambridge/London but open to outstanding remote work candidates based in the UK or EU. We offer travel allowance to enable meet ups; Apply
