Full-Time
Engineer in Test
Confirmed live in the last 24 hours
Encord
51-200 employees
Data platform for computer vision workflows
Mid
London, UK
- Must have experience in test automation technologies and frameworks including but not limited to Testing Library, Pytest, QAWolf, Cypress/Playwright, and others.
- 3 years or equivalent in developing or testing software using standard testing tools and frameworks such as Selenium, Cucumber, RSpec, Junit, Jest, etc.
- Proficiency in testing methodologies (e.g A/B testing, replay testing), test plan organization, and technical requirements.
- Build and maintain an automated testing framework and patterns, which are easy to understand, manage and build on by the wider development team.
- Collaborate with the development and community team to provide early feedback, test new features, and investigate user feedback from a technical perspective.
- Work with engineers and management to implement risk-based testing strategies, using a variety of methods such as manual or automated as needed in a situation.
- Perform root cause analysis for identified defects, proposing solutions, and implementing necessary corrective actions to improve software quality.
- Advocate for quality in both engineering and product — ensure application functionality is protected and be a UX champion to ensure customers can fully utilize our best-in-class toolset.
- Participate in code reviews and provide valuable feedback to improve software quality and maintainability.
Encord provides a data platform focused on advanced computer vision technology, offering tools for data labeling and workflow management. The platform helps businesses streamline their processes by allowing them to create 'Ground Truth' data significantly faster, which is crucial for training AI models. Encord combines technology with human expertise to ensure high-quality data management services, enabling AI teams to monitor and evaluate model performance effectively. Unlike competitors, Encord supports various computer vision modalities and offers one-click automated labels along with customizable workflows that integrate human input. The goal of Encord is to empower businesses to manage and curate their visual data efficiently, enhancing their AI capabilities.
Company Stage
Series A
Total Funding
$19.6M
Headquarters
London, United Kingdom
Founded
2020
6 month growth
↑ 3%1 year growth
↑ 33%2 year growth
↑ 100%
Simplify's Take
What believers are saying
- Encord's open-source active learning toolkit, Encord Active, democratizes access to advanced data quality improvement tools, potentially accelerating AI adoption across industries.
- The platform's ability to integrate humans-in-the-loop for expert labeling services ensures high-quality data, which is crucial for training accurate AI models.
- Encord's customizable workflows and automated labeling features allow businesses to scale their AI projects efficiently without compromising on quality.
What critics are saying
- The rapidly evolving AI and machine learning market could lead to increased competition, making it challenging for Encord to maintain its market position.
- Dependence on human expertise for data labeling might limit scalability and increase operational costs.
What makes Encord unique
- Encord's platform uniquely combines advanced computer vision technology with human expertise, offering a comprehensive suite of tools for data labeling, workflow management, and model performance evaluation.
- The company's focus on active learning and data curation sets it apart, enabling businesses to create 'Ground Truth' data ten times faster and improve model robustness in real-world applications.
- Encord's support for various computer vision modalities, including image, video, medical imagery, and geospatial data, provides a versatile solution that many competitors lack.
Benefits
Social events
Flexible hours
Hybrid work
Fresh equipment & gear
Health insurance
Generous PTO
Visa sponsorship
Team lunches