Applied Research Engineer (ONSITE IN SF)

Dear applicants, please keep in mind that applications without provided salary expectations and active LN profile will not be considered.

Hope for your understanding.

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
• 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 (≈12 people), high-signal, and operating at the frontier of multimodal AI.

Location: San Francisco, CA

Employment Type: Full-Time ONSITE

Visa Sponsorship: H-1B, O-1, OPT supported

As an Applied Research Engineer, you will build high-performance pipelines and infrastructure to understand video with precision at internet scale.

This role sits between research and production:

• Not purely academic research
• Not pure infrastructure engineering
• You will work on ambiguous, open-ended problems in:
• Computer Vision
• Audio Processing
• Multimodal (video + text + audio) systems

You’ll design clever techniques to extract signal from large-scale data while optimizing performance and cost.

What You’ll Do

• 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

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)
• Open-source contributions
• Published research (bonus, not required)
• Demonstrated performance optimization work
• Passion for video / media technologies

Interview Process

• Initial Screen
• Technical Discussion with CTO
• Deep Technical Interview
• Conversation with CEO
• On-site
• Offer