🚀 Our client is hiring: Applied Research Engineer (Video AI / Computer Vision)
📍 In-person | San Francisco
Our client is building high-performance systems to understand video at internet scale.
Video now accounts for ~80% of internet traffic and is rapidly becoming the foundation for creativity, communication, gaming, AR/VR, and robotics. The limiting factor in next-generation AI isn’t models — it’s high-quality video data and understanding at scale.
This team sits at the intersection of:
- Computer Vision
- Audio + speech processing
- Multimodal AI systems
- Large-scale data infrastructure
Their mission is to transform raw video into structured, usable datasets and systems that unlock frontier model performance.
🧠 The role
As an Applied Research Engineer, you’ll design and build systems that power large-scale video understanding.
You’ll work across both research and production, including:
- Building high-performance data and inference pipelines
- Improving model performance through smart preprocessing and optimisation
- Working with APIs, models, and multimodal systems
- Solving ambiguous, research-heavy engineering problems
- Shipping end-to-end systems that directly impact customers and model capability
🔧 What they’re looking for
- 2+ years experience in Computer Vision or Audio ML
- Strong Python engineering skills
- Experience with PyTorch or similar ML frameworks
- Ability to work across research + production environments
- Strong communication skills with technical and non-technical stakeholders
- Clean, production-quality coding practices
- Ability to translate customer problems into technical system design
- Passion for video, media, or multimodal AI systems
⭐ Bonus
- Open-source contributions
- Early-stage startup experience
- Portfolio of applied ML or systems work
📍 Must be based in or willing to work in-person in San Francisco.
If you’re interested in building systems that turn video into intelligence at scale, our client would like to hear from you.
