Pre-screened and vetted.
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Senior Applied Scientist specializing in LLMs, GenAI systems, and AutoML
Senior Applied ML Scientist specializing in LLMs, ads ranking, and RAG systems
Senior AI/ML Engineer & Data Scientist specializing in NLP, entity resolution, and knowledge graphs
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Mid-level Machine Learning Engineer specializing in LLM personalization and scalable MLOps
Intern Software Engineer specializing in ML and data pipelines
Junior Software Engineer specializing in full-stack web and data platforms
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Intern Software Engineer specializing in ML and data pipelines
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Mid-level Machine Learning Engineer specializing in real-time recommender systems and MLOps
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-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Senior AI/ML Data Scientist specializing in recommender systems, LLMs, and MLOps
“ML/NLP leader with 12+ years of impact across LinkedIn, TikTok, and Levi's, building and productionizing multimodal recommendation and embedding-based search systems. Deep experience in entity resolution, vector retrieval, and rigorous evaluation, with cloud-native deployment/monitoring (MLflow, Airflow, SageMaker/Lambda, Azure ML, Kubernetes) and demonstrated double-digit relevance gains at millions-of-users scale.”
Intern Embedded Software Engineer specializing in RF/SDR and robotics systems
“Robotics student who built a fully autonomous "Pacman" robot car using ROS 2, integrating LiDAR/IMU sensing with localization, autonomous driving, and a custom RRT + A* planner. Demonstrated practical embedded optimization on an RP2040 by balancing replanning frequency with safety via rapid collision checks.”