Applied Research Engineer (ONSITE IN SF)
About The Position
We are an AI research lab focused exclusively on video data. Video represents the dominant digital medium globally — powering creativity, communication, gaming, AR/VR, robotics, and beyond. The biggest bottleneck in advancing these systems is high-quality training data at scale. Our team combines exabyte-scale video infrastructure, novel video understanding techniques, and large-scale multimodal datasets. We partner with leading AI labs and recently completed a Series A round backed by Tier 1 investors. The team is lean (approximately 12 people), high-signal, and operating at the frontier of multimodal AI. This role sits between research and production, focusing on ambiguous, open-ended problems in Computer Vision, Audio Processing, and Multimodal (video + text + audio) systems. You will design clever techniques to extract signal from large-scale data while optimizing performance and cost.
Requirements
- 5+ years experience in computer vision or audio processing
- Strong Python skills
- Hands-on experience with PyTorch (or similar ML frameworks)
- Experience working with large models or model APIs
- Ability to optimize inference pipelines
- Clear communication skills (technical + external stakeholders)
- Strong ownership mindset
- In-person presence in San Francisco
- Experience building large-scale multimodal systems
- Startup experience (early hire)
- Demonstrated performance optimization work
- Passion for video / media technologies
Nice To Haves
- Open-source contributions
- Published research (bonus, not required)
Responsibilities
- Build scalable pipelines for video understanding
- Work with large models and APIs, optimizing inference performance
- Apply pre- and post-processing techniques to improve model precision
- Implement parallelization, pipelining, and inference optimization strategies
- Occasionally fine-tune models where needed
- Break down customer-level requirements into technical building blocks
- Write clean, production-ready Python code
- Collaborate with customers and external research teams
- Contribute to the evolution of next-generation video datasets
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
