Specter
Software Engineer - Applied AI
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- On-site · San Francisco
- Added 1 month ago
About this role
Specter is seeking an Applied AI Software Engineer to bridge the gap between cutting-edge research and real-world product deployment. This role focuses on operationalizing machine learning models for perception systems running on edge devices and in the cloud. You'll own the entire lifecycle, from evaluation and data feedback to iterative improvement and feature delivery.
What you'll do
- Productionize ML models for edge devices and cloud infrastructure.
- Build evaluation systems to measure model quality in production.
- Design data feedback loops for model improvement.
- Define and instrument key perception quality metrics.
- Ship product features leveraging new model capabilities.
- Manage inference costs and performance tradeoffs.
What they're looking for
- Python
- PyTorch
- ONNX/TensorRT
- Docker
- Kubernetes
- Computer Vision
- Kafka/Redpanda
- ML Model Deployment
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Specter
Likely interview questions
- Describe your experience taking ML models from research to production.
- How have you handled distribution shift when deploying models?