We're building advanced computer vision systems that deliver real impact for enterprise clients, and we need a Software Engineer with ML Ops expertise to help scale our solutions. In this role, you'll develop and deploy models for object detection, multi-object tracking, scene segmentation, and depth estimation—ensuring performance across challenging conditions like motion, occlusion, and variable lighting.
What You’ll Do
- Design, train, and deploy deep learning models using PyTorch or TensorFlow, tailored to real-world visual environments
- Optimize computer vision pipelines for robustness using tools like OpenCV, GStreamer, FFmpeg, and TensorRT
- Collaborate with engineering teams to define data labeling structures and curate diverse training and validation datasets across conditions
- Support client onboarding by adapting and calibrating models to meet accuracy requirements
- Deploy and maintain models in cloud environments (GCP, AWS, Azure) and on embedded platforms such as NVIDIA Jetson and Intel Movidius
What We’re Looking For
You’re deeply familiar with modern machine learning workflows and have hands-on experience training and deploying vision models in production. You understand the mathematical and geometric foundations behind computer vision and can work independently to solve complex technical challenges. Proficiency in Python, Linux, and cloud infrastructure is essential. Familiarity with data streaming tools like Flink, Spark, or Beam is a plus, as is experience in startup environments.
We value clear communication, analytical rigor, and a proactive mindset. If you thrive in fast-moving settings where ownership and initiative drive progress, this role is for you.
What We Offer
- Equity and competitive compensation for early team members
- Unlimited vacation and generous health benefits including medical, dental, and vision
- 401k contributions and top-tier hardware
- Hybrid work model with team hubs in Miami and Vancouver, and flexibility for distributed collaboration
- Opportunity to shape the technical direction of an early-stage AI company backed by proven founders
