Senior Assessment and Content Engineer
Landing in United States
Filtered is disrupting technical hiring by changing the way interviewing happens. Our solutions use AI and Machine Learning to simulate work, letting candidates demonstrate their talent while giving hiring managers the insights they need to find the best person for their job.
We’ve all heard the expression “it takes one to know one”. We’re looking for a talented engineer who can use their expertise to help us build simulations to evaluate the talents and skills of candidates. These simulations will represent a variety of real-world challenges — from data science to devops, full-stack development to CI/CD pipeline implementation — and require thoughtful assessment design and evaluation.
Filtered Inc. is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment on the basis of individual performance and qualification. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
- Passion for building technical content that will aid in hiring great engineers responsible for building the algorithms of the future at companies across the world.
- Teaching experience or evaluation experience — what tasks, when completed effectively, indicate someone really knows their stuff?
- Great technical skills with the ability to learn new languages, frameworks, and software quickly.
- Hiring experience — you know what a good candidate experience or hiring process looks like and/or you have familiarity with the hiring processes at companies ranging from the FAANGs to Fortune 500s.
- Solid experience with NodeJS, Python, SQL, ReactJS, and cloud infrastructure/services (GCP and AWS).
- Understanding of assessment design and/or its relationship to Industrial and Organizational (IO) Psychology would be an advantage.
- Builds assessments for various types of technical roles and develops grading automation.
- Establishes a framework for data collection that drives machine learning for grading enhancements over time.
- Improves the technical content management internal tooling and processes to further expand our content library.
- Adds new content categories/skills to our library for emerging technologies and computer languages.
- Delivers new content promptly and works with Product Management to define content priorities.
- Recommends strategies for further expanding our content at scale.
- Gains insights from question metrics to understand what works and what does not work for future technical content.