Job Details

🚀 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.