What are the responsibilities and job description for the Senior AI Engineer (San Francisco) position at Scrollmark?
Job Description
Job Description
Join us in a high-impact role where you'll shape the future of visual generative technology for social media. At Scrollmark, we’re building the industry’s leading AI-first social media management platform—empowering brands to grow fanbases, nurture audiences, and drive revenue. Now, we’re expanding our capabilities to include cutting-edge image and video generation.
We’ve raised $3M in seed funding from top-tier investors including Mayfield, Jackson Square Ventures, Lemniscap, Shakti, and Aperiam. As an early-stage startup, we’re seeking partners who bring both technical prowess and the self-starter spirit to help define Scrollmark’s trajectory. You’ll report directly to our CTO and collaborate closely with other engineering leaders, but ultimately drive projects with minimal oversight—your work here will leave a lasting impact.
What You’ll Do
Build Next-Generation Models : Design and implement generative AI models for images and video, while staying up-to-date with the research frontier.
Optimize for Social : Develop vision models that excel in social media contexts, aiming for high engagement and brand impact.
Collaborate & Innovate : Work with cross-functional teams—including designers, product managers, and other engineers—to conceive and prototype new features that drive measurable results.
Scale & Deploy : Research, experiment, and productionize state-of-the-art architectures to support large-scale user bases and data volumes across multiple platforms.
Strategize & Execute : Contribute to the overall AI roadmap, champion best practices, and help shape Scrollmark’s future with generative imagery and video.
What We’re Looking For
5 Years of Experience : At least 5 years of professional experience (2019 graduate or earlier), with a proven track record in computer vision or deep learning.
Hands-On Generative AI Skills : Strong familiarity with state-of-the-art techniques such as DreamBooth and / or training LoRAs for vision models. You’ve shipped or published work in generative models for images or video.
System Design Knowledge : Experience architecting scalable solutions—whether fine-tuning for speed, optimizing inference pipelines, or balancing cost efficiency with cutting-edge performance.
Social Media Insight : Previous exposure to building or integrating AI solutions within social platforms is a huge plus.
Self-Starter Attitude : Comfortable taking initiative and independently driving projects from concept to completion in a fast-paced environment.