Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Research and develop deep-learning models optimized for AI semiconductors (NPUs), including quantization, pruning, and tooling for training and deployment.
Build AI-driven simulation models to predict physical-system behavior for engineering and manufacturing, using deep learning and probabilistic methods in Python.
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion,…
Design and deploy AI/ML models (LLMs, vision, agents) for clients using Python, TensorFlow/PyTorch, and cloud platforms; lead projects and collaborate directly with stakeholders.
Build and optimize computer-vision pipelines for robotics, including sensor fusion, model evaluation, and deployment on edge hardware.
Design and deploy deep-learning perception models for autonomous systems, focusing on computer vision and edge deployment using frameworks like PyTorch or TensorFlow.
Design and sell AI-testing solutions for high-stakes environments; lead pre-sales workshops, scope customer needs, and map them to Resaro’s platform for computer vision, generative AI, and autonomous systems.
Develops and integrates C++ software for sports analytics products, collaborating across teams to deliver real-time performance insights for athletes using Linux-based systems.
Develop perception software for autonomous drone infrastructure, including computer vision algorithms for precision landing and sensor integration using Python, PyTorch, and OpenCV.
Build and deploy deep-learning models for 3D vision and robot perception, turning transformer-based research into production-ready grasping and manipulation systems for industrial robots.
Build and maintain the software stack for an autonomous tile-grouting robot using ROS2, integrating AI models and embedded firmware while calibrating sensors and testing in real-world construction sites.
Build and deploy AI/ML models for industrial computer vision and edge computing in manufacturing, integrating solutions into global production systems.
Build and evaluate generative and predictive models for high-content cell imaging to uncover disease mechanisms and guide drug discovery, using deep learning and multi-omic data.
Develop and deploy AI-powered robotics for automotive manufacturing, focusing on computer vision, sensor fusion, and simulation tools to improve production efficiency and reliability.
Designs scalable software architectures and AI-enabled solutions for client projects, balancing pre-sales, delivery, and AI adoption while collaborating with ML engineers and cross-functional teams.
Internship developing machine learning and computer vision features for ZEISS’s digital microscopy platform using Python and modern DL/CV techniques.
Build and deploy scalable AI systems, including agentic frameworks and ML models, using Python and cloud platforms like AWS. Lead cross-functional teams to integrate AI solutions into production environments.
Intern designs and implements computer-vision models for embedded systems, optimizing object detection and AI inference on edge devices like NVIDIA Jetson.
Design and implement enterprise-scale Databricks Lakehouse architectures, lead client engagements, and optimize Spark-based pipelines for secure, high-performance AI and data workloads.
Build real-time, mission-critical interfaces for remote control of autonomous equipment using React, TypeScript, and live data streams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
