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Applied ML Engineer

In Person/Remote
Full-time

$180k - $225k

1.0% - 1.5% equity

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About the role

Join our AI team to build cutting-edge models that help law enforcement agencies process video evidence at unprecedented speed and accuracy. You'll work on computer vision, vision-language models, and automatic speech recognition challenges that directly impact public safety. In this role, you'll: • Develop and optimize computer vision models for object detection, tracking, and scene understanding • Implement vision-language models to generate contextual descriptions of video content • Build and improve ASR systems for transcribing body camera audio • Work with massive datasets while ensuring privacy and security • Deploy models at scale with low latency requirements

Requirements

  • Experience with Computer Vision
  • Knowledge of Vision Language Models
  • ASR (Automatic Speech Recognition) experience
  • Strong ML/AI background
  • Proficiency in PyTorch or TensorFlow
  • Experience deploying ML models to production
  • Strong software engineering skills in Python

Nice to have

  • Publications in CV, NLP, or speech recognition conferences
  • Experience with multimodal learning
  • Knowledge of privacy-preserving ML techniques
  • Experience with edge deployment of ML models
  • Background in working with sensitive data

Benefits

  • Competitive salary and equity
  • Unlimited PTO
  • $2,000 annual wellness stipend
  • Annual team offsites
  • Latest ML hardware and tools

Application process

  1. 1.Initial conversation with our ML team
  2. 2.Technical deep dive on past ML projects
  3. 3.ML system design challenge
  4. 4.Team fit interview
  5. 5.Reference checks and offer

Ready to join our mission?

Help us build technology that makes communities safer.

Apply now