Top Tech Jobs & Startup Jobs

Conduct applied research and develop scalable systems for dynamic context graphs, knowledge representation, graph machine learning, information extraction, retrieval, and LLM-based reasoning. Build methods for entity and relationship resolution, temporal reasoning, provenance, uncertainty, and agentic workflows. Design evaluation benchmarks for graph quality and reasoning reliability, prototype systems with engineering teams, and contribute through publications, patents, technical strategy, and mentorship.

Build and optimize scalable AI infrastructure and distributed systems for model training and inference. Integrate research into production, improve model efficiency, ensure reliability and security, collaborate with cross-functional teams, and maintain large-scale data pipelines.

Build end-to-end frontend and backend features for an AI platform: design UIs for model interaction, develop scalable APIs and services, integrate ML models, improve reliability and performance, and own projects from concept to deployment.

Develop a unified AI platform by designing and building scalable applications, improving platform performance, and collaborating with ML engineers.

Develop AI-driven automation for government and national security workflows. Build and evaluate machine learning, LLM, NLP, data pipeline, and agentic systems; analyze complex datasets; create evaluation frameworks; and productionize reliable AI capabilities. Collaborate with engineers, mission specialists, and government users to translate ambiguous requirements into measurable solutions, demonstrate capabilities, gather feedback, and improve mission outcomes.

Develop rapid software prototypes combining frontend applications, data pipelines, APIs, AI/ML models, and automation workflows. Ingest, transform, and integrate structured and unstructured data using Python and SQL; experiment with LLMs, RAG, embeddings, and AI agents; and collaborate with engineers, data scientists, product teams, mission experts, and government customers. Translate ambiguous requirements into demonstrable solutions, evaluate technical approaches, document prototypes, support secure deployments, and identify candidates for productionization.

Develop knowledge management workflows and analytical visualizations, including dashboards, maps, reports, and charts, to support government mission users. Analyze structured and unstructured data, translate operational requirements into intuitive visual products, support user testing and training, and collaborate with engineers, data scientists, analysts, and customers to improve information access and decision-making.

Administer data management and analytics platforms, manage ingestion and data quality, analyze complex structured and unstructured datasets, and develop reports, dashboards, and analytical products. The role supports AI/ML workflows including NLP, semantic search, and information retrieval, while partnering with engineers and government customers. Responsibilities also include translating mission requirements into data solutions, troubleshooting systems, protecting classified data, and supporting demonstrations and deployments in customer environments.

Coordinates complex technology programs from planning through deployment, managing schedules, dependencies, risks, deliverables, technical teams, and government customer relationships. Translates customer and mission requirements into engineering plans, tracks contractual commitments, facilitates technical reviews and status meetings, and ensures compliance with security and operational requirements. Works across engineering, AI/ML, product, data, security, leadership, and government stakeholders to deliver projects successfully.

Build and troubleshoot data ingestion, transformation, ETL/ELT, and integration pipelines; administer data management platforms; implement data quality, governance, metadata, lineage, and lifecycle processes; automate workflows; support secure data systems; and work directly with government mission users to onboard datasets, resolve issues, and enable analytical and AI applications.