Full-Time
AI/ML Developer Evangelist
Confirmed live in the last 24 hours
Encord
51-200 employees
Data platform for computer vision workflows
Junior, Mid
San Francisco, CA, USA
Hybrid position based in San Francisco.
- Bachelor’s degree in computer science or a related field
- Previous experience working as a Machine Learning or Computer Vision Engineer or building machine learning models
- Self-starter who wants to forge their own career path
- Confidence in being the engineering face of a rapidly growing business
- Desire to grow personal brand within AI/ML communities
- Advocating for Encord within developer communities, fostering relationships with developers, and promoting the adoption of best practices.
- Leading research and content development on the latest updates and trends in AI/ML including foundational model releases.
- Creating engaging technical content, and organizing hands-on webinars to assist developers in developing performant models.
- Showcasing best practices in data curation, data labeling, label validation, and model evaluation.
- Leading the Encord community and responsibility for the structure of and engagement within the community.
- Working closely with internal teams to gather feedback and insights from the developers, contributing to the enhancement of Encord’s products and services.
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 enabling 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, allowing AI teams to monitor and evaluate model performance effectively. Unlike competitors, Encord supports various computer vision modalities and offers features like one-click automated labels and 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 B
Total Funding
$45.8M
Headquarters
London, United Kingdom
Founded
2020
6 month growth
↑ 10%1 year growth
↑ 36%2 year growth
↑ 91%
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.
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Benefits
Social events
Flexible hours
Hybrid work
Fresh equipment & gear
Health insurance
Generous PTO
Visa sponsorship
Team lunches