Role Description
We’re looking for an expert Developer Advocate who’s passionate about helping AI/ML engineers and data scientists build state-of-the-art AI applications. You enjoy creating technical content—white papers, blog posts, demos—that helps users overcome real-world challenges.
As a Developer Advocate, you’ll engage with the AI/ML community through social media and by attending and speaking at conferences. This role requires hands-on experience in AI/ML and a strong desire to educate others on the latest techniques and best practices.
You’ll work at the intersection of product, sales, and engineering—bringing the best of Snorkel to the market, and channeling insights from the field back to the team. Join us at Snorkel and create the developer advocacy program and help shape the future of enterprise AI.
Responsibilities
- Technical Expertise: Demonstrate how to build AI applications with Snorkel Flow, and incorporate the latest learnings from academic research
- Community Engagement: Connect with the developer and AI/ML community through virtual and in-person events, building relationships with industry experts and peers
- Content Creation: Craft high-quality, developer-focused content—blog posts, white papers, demos, videos, and social media—that educates and inspires
- Network Building: Grow a strong network of thought leaders, practitioners, and influencers across the AI/ML space
- Cross-functional Collaboration: Partner closely with engineering, product, marketing and sales to ensure alignment across the organization
- Industry Awareness: Stay current on emerging trends, tools, and research in AI/ML, and share insights with both internal teams and external audiences
Preferred Qualifications
- 4+ years of experience as a dev advocate, data scientist, AI/ML engineer or technical marketer
- Established—or eager to build—a presence on social media platforms
- Experience hosting meetups, workshops, or community events
- A self-starter with a passion for education, content creation, and connecting with technical communities
- Expertise in modern machine learning frameworks and technologies (e.g. PyTorch, TensorFlow, transformers)
- Knowledge of industry standard technologies in the Data Science and Machine Learning space
- Fluency with scripting in Python
- Hands-on experience building and implementing machine learning or AI models
- Outstanding presentation skills to both technical and executive audiences, including presentations and demos
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
