TL;DR
Machine Learning Engineer (AI): Developing and optimizing AI models for a cloud-native video security platform with an accent on latency optimization, model fine-tuning, and real-time inference. Focus on productionizing PyTorch models in C++, designing experiments to balance accuracy and latency, and integrating AI into security use cases.
Location: Onsite in Sunnyvale, United States
Salary: $170,000–$240,000
Company
hirify.global is a startup focused on AI-powered video security solutions using computer vision and multimodal LLMs to enhance safety and operational efficiency.
What you will do
- Fine-tune and productionize open-source PyTorch models in C++ runtime, optimizing for latency and throughput
- Design experiments to evaluate tradeoffs between latency and accuracy for customer use cases
- Integrate AI models with downstream applications and own performance metrics
- Maintain and improve existing machine learning applications in the product
- Research and implement new AI techniques from academic papers relevant to video security
Requirements
- Must work onsite in Sunnyvale
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
- Strong software engineering skills with production-grade code experience
- Solid machine learning fundamentals and familiarity with deep learning trends including foundation models and LLMs
- Excellent English communication skills
Nice to have
- Experience with Docker and containerization for production
- Productionizing PyTorch models in C++ with performance profiling
- Knowledge of TorchScript, ONNX Runtime, TensorRT, half-precision inference, and INT8 quantization
Culture & Benefits
- Competitive compensation and equity in a rapidly growing startup
- 100% employer-paid medical, dental, vision, and life insurance
- Flexible paid time off and 9 paid holidays
- 401(k) with Traditional and Roth options
- Referral bonuses, daily team dinners, and regular off-sites
- Latest Apple technology and unlimited tools
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