Specializations
micro1 vets engineers globally across AI, ML, and full-stack disciplines. The roles below represent the specializations most active in their network. Actual live openings are on micro1's platform — all links here take you there directly.
Designs, trains, and deploys machine learning models at scale. Typically requires strong Python, PyTorch or TensorFlow, and experience with model evaluation pipelines.
Works on novel model architectures, training methodologies, and benchmarking. Often requires advanced academic background or equivalent research experience.
Specializes in large language model integration, fine-tuning, RAG pipelines, and inference optimization. High demand as enterprise AI adoption accelerates.
Builds systems for image classification, object detection, segmentation, and video analysis. Typical stack: OpenCV, PyTorch, YOLO variants, or custom CNN architectures.
Focuses on text processing, entity recognition, sentiment analysis, and language understanding systems. Bridges classical NLP and modern transformer-based approaches.
Translates business problems into analytical frameworks. Statistical modeling, experiment design, and data storytelling alongside engineering depth.
Owns the lifecycle of ML models in production — CI/CD for models, monitoring, drift detection, and infrastructure for training and serving at scale.
Cloud infrastructure, Kubernetes, Terraform, CI/CD pipelines, and observability. Increasingly expected to support ML workloads alongside traditional services.
Builds end-to-end applications across frontend and backend. Common stack: React/Next.js, Node.js or Python, PostgreSQL, and cloud-native deployment.
API design, database architecture, microservices, and performance at scale. Often paired with ML services as a serving or integration layer.
Modern UI development with React, TypeScript, and component systems. Growing demand for engineers who can integrate AI-powered features into user-facing products.
Application security, cloud security posture, and increasingly, AI system security. Covers detection engineering, threat modeling, and secure architecture review.
Designs and evaluates prompting strategies for LLM-based systems. Requires strong intuition for model behavior, evaluation design, and iterative refinement.
Active openings, current requirements, and compensation details are all on micro1's platform. This is where you start.
View Live Roles on micro1 →