Deep Learning Research Engineer
Core
Researching and developing advanced Deep Learning models, novel Neural architectures, and Agentic AI systems for an AI/ML platform that powers enterprise hiring.
Role type
Senior IC Deep Learning Research Engineer
Builds
Autonomous AI interviewers, fraud detection systems, and scalable production-grade AI models
Domain
AI/ML, Deep Learning, Agentic AI
Deliverable
production ML models
Required skills
Deep Learning, Neural Architecture Design, State Space Models, Liquid Neural Networks, Agentic AI systems, PEFT (LoRA, QLoRA), Knowledge Distillation, Model Optimization, Experimental Design, Statistical Validation
Preferred skills
Top-tier AI/ML publications, LLM evaluation, Anomaly detection, Model quantization, Low-latency inference optimization
Technologies
PyTorch, JAX, GPU acceleration, Distributed computing
Responsibilities
Design and implement novel neural architectures beyond Transformers; Fine-tune models using PEFT and distillation; Optimize model performance, inference efficiency, and latency; Design rigorous experiments and evaluation frameworks; Translate research into scalable production systems
Seniority
Senior, hands-on IC
