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Vetted Reinforcement Learning Professionals
Pre-screened and vetted.
Intern Machine Learning Engineer specializing in optimization, federated learning, and LLMs
Staff Full-Stack & AI Engineer specializing in LLM platforms and scalable cloud systems
Intern Hardware/Robotics Engineer specializing in autonomous systems and test automation
Intern Robotics Software Engineer specializing in perception and ML systems
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal recommendation systems
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Intern/Junior Robotics & Controls Engineer specializing in autonomy and embedded systems
Principal Data Scientist specializing in AI and quantitative investment strategies
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
Intern Data Scientist specializing in machine learning and trustworthy AI
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Anupam Kaul
Director-level engineering leader specializing in AI, robotics, embedded OS, and consumer devices
“Senior engineering executive-level leader with deep hands-on systems expertise across Amazon devices, Alexa, Echo, and FireTV/VegaOS. Unusually combines VP-level org leadership at 120+ scale with direct production debugging and architecture ownership, including hybrid edge-AI/cloud systems, partner platforms for 9000+ apps, and shipping long-horizon platform bets under aggressive release cadences.”
Ravikanth Kasamsetty
Executive engineering leader specializing in AI, data platforms, and cloud SaaS
“Senior engineering executive with a rare mix of VP-level people leadership and deep hands-on architecture across cloud-native and AI platforms. He led secure hybrid SaaS design at Promethium, built GenAI-powered analytics with LLMs/RAG, and translated customer needs into product wins including the largest deal in company history and a PLG motion that generated 100+ leads.”
Junior Mechanical Engineer specializing in robotics, mechatronics, and test automation
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference