HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
Bachelor's in a related discipline or equivalent experience; familiarity with AI/ML disciplines (NLP, anomaly detection, MCMC, predictive modeling); strong statistics; ability to implement algorithms; proficiency with Python/R/MATLAB (Python preferred); ability to obtain Top Secret clearance; US citizenship required.
540: Builds mission-critical software and cloud systems for government agencies.
8+ YOEU.S. citizen with active DoW clearance and TS/SCI eligibility; 8+ years software development experience; Python, containerized microservices, relational databases, LLM/RAG and MLOps experience; bachelor's degree preferred.
Python, Google Cloud Platform (GCP), Google Apigee, RESTful APIs, OAuth2, JWT, LDAP, SAML, LLM, RAG
Northrop GrummanNYSE: NOC: Designs and manufactures advanced aerospace and defense systems.
5+ YOEU.S. Secret clearance required, 5+ years relevant experience (with Bachelor's) in IT systems engineering/architecture, MBSE (Cameo/Orbus), DOORS/RTM, cloud (AWS/Azure/GCP) and VDI (VMware Horizon/Nutanix) experience, familiarity with NIST 800-53/CMMC/DFARS, and AI/ML integration experience preferred.
Cameo Systems Modeler, Orbus iServer, DOORS, DOORS Next Generation, RTM, VMware Horizon, Nutanix, AWS, Azure, GCP, TensorFlow, PyTorch, scikit-learn