Pre-screened and vetted in Illinois.
Junior Machine Learning Engineer specializing in multimodal generative AI and computer vision
Mid-level Robotics & Controls Engineer specializing in safe autonomy and perception-aware motion planning
“Robotics software engineer who built an open-source, real-time Cartesian controller for Universal Robots UR5/UR5e, targeting sub-mm accuracy at 500 Hz within ROS2/ros2_control. Demonstrates strong real-time debugging skills (timing profiling, singularity handling with Tikhonov regularization) and sim-to-real iteration using Gazebo/Isaac Sim plus physical hardware tuning; also has ROS1 experience building URDF/xacro and EKF configs for an underwater vehicle and has developed drone/robot packages.”
Intern Software Engineer specializing in C++ backend and systems programming
Senior R&D Simulation Software Engineer specializing in co-simulation and real-time solvers
Intern Software Engineer specializing in systems, networking, and ML security
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI/LLM systems
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI/LLM systems
Junior Computer Engineering researcher specializing in robotics, autonomy, and computer vision
Junior Data Scientist / Software Engineer specializing in forecasting, ETL, and full-stack systems
Junior AI/ML Engineer and Instructor specializing in deep learning, computer vision, and NLP
“Computer-vision practitioner and educator who built a real-time license plate recognition system (OpenCV/Python + KNN) optimized to run on a Raspberry Pi with camera integration. Also designs hands-on deep learning coursework, incorporating recent transformer-based vision research (Vision Transformers) into practical labs on real datasets.”
Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications
Mid-level Data Engineer specializing in cloud data platforms and AI/ML analytics
“Backend/data engineer in healthcare who built an AWS-based clinical analytics platform from scratch (DynamoDB/S3/Airflow/dbt) with sub-second clinician query goals, 99.9% uptime, and HIPAA-grade controls (KMS encryption, IAM RBAC, audit trails). Also modernized ML delivery by replacing a manual 4-hour deployment with a 30-minute Docker/GitHub Actions CI/CD pipeline using parallel runs, parity testing, and rollback, and caught critical EHR data edge cases (date formats/timezones) that could have impacted patient care.”
Senior Data Scientist specializing in NLP and LLM applications
Intern AI Software Engineer specializing in computer vision, edge AI, and MLOps
Junior AI Engineer specializing in RAG systems and full-stack development
Senior Library & Information Professional specializing in data analysis and database development
Mid-Level Software Engineer specializing in SaaS platforms and payments
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Junior Full-Stack Developer specializing in React, Node.js, and AI-powered web apps
“Robotics software engineer with ROS 2 Humble/Nav2 experience on a warehouse robot fleet, focused on improving throughput in dynamic human environments. Implemented C++ local-planner and velocity-control changes using LiDAR-based motion prediction and real-time costmap tuning under a 20ms control loop, and built a Gazebo digital twin with custom failure-injection plugins plus Docker/Kubernetes deployment tooling.”