Are you a talented, motivated data scientist or AI engineer with a strong interest in testing and evaluation of information retrieval, natural language processing, and machine learning technology? Join an innovative and fast-paced team building software that allows litigation professionals to use AI to filter millions of documents down to those most important to their case or investigation.
We are thoughtful about design and focused on ensuring that our clients have software that is both useful and useable. You won’t be buried in a dark corner – you’ll have the opportunity to actively shape the software, while working as an integral part of a dynamic team of AI engineers and SDETs who are focused on writing great code, learning every day, and having a lot of fun.
If you think you’d be the right fit for our team, we’d love to hear from you.
Develop and create test ware (e.g., deliverables, plans, environment, data set-up, test cases, etc.) for correctness, efficiency, and accuracy of AI technology
Automate tasks and methods to maximize efficiency, including working with data scientists to automate accuracy testing
Learn and stay current with best practices in both evaluation of AI systems and software testing
Bachelor’s or master’s degree in computer science or related field
Coursework or development experience in natural language processing, information retrieval, and machine learning
Experience with acquiring, manipulating, and working with natural language data sets
Experience with software development and testing in a Linux/Unix environment
Strong knowledge of Java application development and testing
Strong knowledge of Python
Knowledge of the software development lifecycle, including agile methodologies, code quality, and continuous integration/continuous delivery
Good writing and communication skills
An eagerness to learn new technologies
Must have authorization to work in the United States
Professional software development or software testing experience
Experience with data labeling by crowdsourcing, indirect labeling, contract labeling, and other approaches
Knowledge of statistics, particularly random sampling and statistical estimation
Coursework or practical experience with societal issues in data set acquisition and use (intellectual property, AI ethics, etc.)
This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.
Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.