Encord is looking to solve the problem of becoming the technical voice in the AI/ML developer community and leadership ecosystem by creating compelling technical content, speaking at industry events, and building authentic relationships with practitioners and technical leaders.
Requirements
- 3+ years of hands-on experience as a Machine Learning Engineer, Computer Vision Engineer, or similar role building and deploying models in production
- Demonstrated experience with data workflows - understanding the challenges practitioners face firsthand
- Familiarity with MLOps tools and data platforms
- Computer vision experience
- Experience with building and deploying AI/ML models in production
- Understanding of AI infrastructure, team scaling, and organizational best practices
Responsibilities
- Build real-world examples and reference projects demonstrating Encord workflows across AI/ML use cases - using these implementations as the foundation for technical content including blog posts, video tutorials, interactive notebooks, code samples, and guides
- Speak at industry conferences and AI/ML meetups - delivering technical workshops for practitioners and strategic talks for engineering leaders on building effective AI teams and infrastructure
- Build and nurture Encord's developer community across various social platforms - engaging with individual contributors, team leads, and technical executives
- Lead research on emerging trends in foundation models and AI/ML, translating developments into actionable insights for both practitioners and leaders
- Serve as the voice of developers and technical leaders within Encord, channeling feedback from engineers and strategic insights from VPs and CTOs to Product and Engineering teams
- Organize and host virtual meetups, community workshops, and executive roundtables that bring together practitioners and leaders around shared technical and organizational challenges
Other
- Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
- Effective communicator who can explain complex technical concepts clearly to engineers while also articulating strategic value and organizational impact to technical executives
- Self-directed and entrepreneurial, able to identify opportunities and execute independently in a fast-moving startup environment
- Passionate about helping developers solve problems and building technical communities while understanding the broader organizational challenges leaders face when scaling AI teams
- Ability to travel for conferences, events, and meetings
