Top AI & Machine Learning Jobs

Design and run experiments to evaluate LLM behavior across reasoning, style, robustness, and user preferences. Develop new metrics and evaluation protocols, analyze large-scale human voting/interaction data, prototype research ideas, collaborate with engineers to productionize findings, and publish internal and external research.

Lead federal engagements to design compliant AI/NLP and RAG knowledge-management solutions. Develop integrations, influence product strategy, build relationships with agency leaders, support sales, and produce federal-focused technical materials.

Build and maintain backend systems and distributed cloud infrastructure for an AI-driven tax-prep platform: vision-language model pipelines, document data extraction, tax software integrations, and client-facing features to improve speed, accuracy, and reliability.

Lead AI/ML solution development for national security, guiding technical projects and compliance, while mentoring teams and engaging clients.

The role involves developing algorithms for 3D Reconstruction and Deep Learning, requiring extensive experience in computer vision and innovative technology integration.

Operate as a founder on client projects: own strategy and execution, present AI roadmaps, design and build AI systems (vision pipelines, document extraction, recommendation engines), ship solutions across varying stacks, communicate technical tradeoffs to non-technical stakeholders, and adapt quickly to different industries and tools.

Lead product strategy and execution for AI-driven expert research: translate investor needs into AI workflows, define roadmap, run user research and experiments, collaborate with engineering/design, and drive launches while optimizing accuracy and reliability of LLM/ML outputs.

Implement and integrate AI solutions across logistics, HR, and administrative functions. Build RAG architectures, develop deep learning and generative AI models, work with LLMs (Meta Llama, OpenAI GPT), and collaborate cross-functionally with executive leadership. Internship may lead to full-time employment.

Build production-grade AI agents and RAG pipelines that integrate with internal tools (BookStack, Slack, Asana, Gmail). Create REST APIs, ingestion pipelines, and function-calling workflows; monitor and iterate on agent performance while collaborating with backend (.NET) and frontend (Angular) teams.

Develop high-performance C++ and Python software for edge devices focused on computer vision, 3D perception, and AI. Build and optimize vision features, support agentic AI for device fleet management, collaborate to improve platform reliability, and test software in real-world environments.