Natural language processing and computational linguistics consulting services

Natural Language Processing Expert (NLP)

Morfologica Inc. is a small business providing consulting and engineering services in Natural Language Processing and Computational Linguistics to academic, business, and government organizations. The company is seeking an experienced NLP Expert to support customers in the Fort Meade and Washington, DC metropolitan areas through NLP research, software development, semantic web technologies, and consulting.

Natural Language Processing Expert (NLP) - Fort Meade Area

Morfologica Inc. is a small business providing consulting and engineering services in Natural Language Processing and Computational Linguistics for academic, business, and government organizations. The Natural Language Processing Expert will support customers by applying NLP techniques, developing knowledge-based or rule-based solutions, programming NLP-related technologies, and providing consulting and support across areas such as information extraction, retrieval, and analysis.

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CUDA Developer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The CUDA Developer will design and optimize GPU workloads for AI, scientific computing, and high-throughput data processing, while collaborating with cross-functional teams, reviewing designs and code, and mentoring junior engineers.

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Copart, Inc. is a technology leader and the premier online vehicle auction platform globally. They are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of next-generation, AI-driven applications.

HVAC and marine automation software and hardware solutions

AI Systems Development Lead

Datapan d.o.o. is a stable and growing company with more than 20 years of tradition, seeking an experienced artificial intelligence specialist to lead its AI development team. The role is responsible for coordinating the team, planning and delivering AI projects, and developing and implementing AI/ML models.

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Logical Intelligence is revolutionizing software development with AI-powered formal verification that provides mathematical guarantees of code correctness and identifies bugs and security vulnerabilities. The AI Engineer will design, implement, and refine large language model pipelines and reasoning algorithms for scaled distributed training, while collaborating with AI, formal verification, and software engineering teams.

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Workday Government is a leading AI platform company focused on supporting U.S. federal agencies in modernizing their employee lifecycle experience and finance operations. The Software Development Engineer role involves designing and delivering scalable features for the Machine Learning Runtime platform, collaborating with various teams to enhance developer experiences and operational efficiency.

Member of Technical Staff, Performance & Capacity

Physical Superintelligence is a startup building AI systems to discover new physics at scale. The Member of Technical Staff, Performance & Capacity will measure fleet utilization and training efficiency, own capacity models and workload planning, and improve data-path and multi-node GPU performance. The role is based in Boston and focuses on turning compute performance and capacity decisions into defensible, measurable outcomes.

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Ambral helps enterprises own the intelligence behind their most important workflows by transforming historical enterprise data into replayable environments and evaluation sets for improving AI agents. The Founding Member of Technical Staff will build infrastructure for converting enterprise data into runnable environments, designing evaluation and reward systems, mining tasks from historical workflows, and improving agent performance through research and production implementation.

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Speechify is a distributed technology company developing text-to-speech products that make reading more accessible and support learning. The Software Engineer will manage data collection and ingestion infrastructure for AI model training, source audio data, operate cloud infrastructure, and collaborate with scientists and leadership on scalable dataset development.

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