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Vetted Reinforcement Learning Professionals
Pre-screened and vetted.
Intern Robotics & Reinforcement Learning Engineer specializing in ROS2 manipulation and SLAM
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Mid-level AI/ML Engineer specializing in NLP, MLOps, and compliance-focused ML systems
Junior Machine Learning Engineer specializing in generative modeling and computer vision
Intern AI/ML Engineer specializing in data science, NLP, and reinforcement learning
Mid-Level Machine Learning Engineer specializing in neuromorphic perception and distributed systems
Entry-Level AI Support Engineer specializing in ML tooling and full-stack debugging
Junior Robotics Engineer specializing in humanoid RL, teleoperation, and sim-to-real deployment
Mid-level Software Engineer specializing in backend systems and LLM-powered AI applications
Junior Robotics & Controls Engineer specializing in state estimation, simulation, and ROS2
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG for financial services
Intern-level Software Engineer specializing in Machine Learning and Full-Stack Web Development
Mid-level AI/ML Engineer specializing in NLP, speech AI, and RAG systems
Mid-level Full-Stack Engineer specializing in Python, FastAPI, and cloud-native systems
Senior AI/ML Engineer specializing in GenAI, MLOps, and healthcare analytics
Principal Data Scientist specializing in AI/ML forecasting and MLOps
Mid-level AI/ML Engineer specializing in forecasting, MLOps, and generative AI
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Junior Full-Stack Engineer specializing in web applications and backend systems
Saffinah Shi
Junior Software Engineer specializing in full-stack, cloud serverless, and AI systems
“SDE who worked on an MGICS Lab robotics project building a multi-agent model to help agents understand tasks and generate robot instructions, emphasizing task-splitting, checking, and a reflection agent to improve accuracy. Also has experience using GitHub with automated CI/CD pipelines.”