As AI adoption increases, the challenge in the next decade is to harness AI safety with the appropriate levels of governance and assurance to build trust in these advanced algorithmic systems. Most enterprises do not have the capability to do this and we are a new AI assurance venture that provides services to validate AI systems for accuracy, robustness, explainability, fairness, privacy and security.
We are looking for a data scientist with experience in evaluating and testing deep learning based models in production settings to work with a category-defining AI assurance venture that will help companies test and audit their AI systems. You will help evaluate and stress-test AI models to make sure they are fit for purpose and safe to be deployed. We value strong technical ability and real world experience and there will be room to solve challenging problems and adopt cutting edge technology into business applications.
YOU WILL
- Work closely with our customers to evaluate computer vision models in law enforcement and healthcare, with a focus on rigorous technical and analytical AI evaluation frameworks backed by scientific research and methods. These should assess the robustness, explainability, fairness, privacy, safety and security of AI and machine learning systems.
YOU ARE ABLE TO
- Think from first principles and want to tackle the most challenging technical problems from a multi-disciplinary approach e.g., design, engineering and social science.
- Lead by example regardless of whether you are a manager or individual contributor. You want to work with passionate and talented individuals and people want to work with you.
- Communicate in an open, frank and respectful manner.
- Thrive in a fast-paced environment.
- Navigate uncertainty by being willing to explore, while remaining laser focused on the mission at hand.
YOU HAVE
- Prior extensive experience of around 3-5 years working as a data scientist training, deploying and evaluating computer vision models that affect business outcomes and customers.
- Experience with state of the art computer vision techniques
- Experience with healthcare or facial recognition systems is a plus.
- A passion and interest in applied research on the safe and responsible use of AI.
- Specific experience with ethical or responsible AI methods is not essential but a plus.
WHO WE ARE
- We are part of a mission driven venture that wants to make AI safer for the world.
- We believe that algorithmic decision making has a huge potential to drive change. However, the increased complexity poses risks that need to be deliberately managed. We want to partner with a broad range of enterprises that have ambitious uses for artificial intelligence and are also serious about utilising AI in a trustworthy manner.
- We are a team of first-principles, multi-disciplinary thinker-doers who believe in doing things right. We are thoughtful about technology and its potential pitfalls. We want to systematically support businesses to build safe, effective and impactful AI technology.
