{"schemaVersion":"jobsearcher.job.v1","id":"5217bfb05e981a4978fc4fd0","url":"https://jobsearcher.com/jobs/5217bfb05e981a4978fc4fd0","canonicalUrl":"https://jobsearcher.com/jobs/5217bfb05e981a4978fc4fd0","title":"Machine Learning Engineer","description":"This role is contingent upon contract funding.\n\nLyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.\n\nLyntris supports U.S. and allied defense organizations across every branch — including Navy, Army, Air Force, Space Force and allied partners — spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.\n\nSolutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle — with integrated design, build and test capabilities in-house — and delivers systems that sustain and endure long after initial fielding.\n\nWe are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language models (LLMs). In this role, you will build and optimize pipelines that transform complex technical documentation into structured, machine-actionable knowledge. You will work with transformer models, retrieval-augmented generation (RAG), and advanced document processing techniques to enable search, question answering, summarization, and information extraction across engineering and technical content.\nDuties & Responsibilities\nDesign, develop, and maintain NLP pipelines for technical and structured document understanding, including information extraction, summarization, semantic search, and question answering.\nBuild and optimize LLM-powered applications using transformer-based models, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) architectures.\nProcess and analyze complex technical corpora, including engineering manuals, specifications, technical reports, drawings, tables, and figures.\nDevelop methods to convert unstructured and semi-structured documents into structured, machine-actionable knowledge for downstream applications.\nImplement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch and Hugging Face.\nEvaluate model performance, improve accuracy, and optimize inference pipelines for production environments.\nCollaborate with cross-functional teams, including software engineers, data scientists, and subject matter experts, to define requirements and deliver AI-enabled document intelligence solutions.\nPerforms other duties as assigned.\nRequired Qualifications\nBachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field (or equivalent practical experience).\n2-4 years of experience building NLP pipelines for technical or structured document understanding, including extraction, summarization, semantic search, and question answering.\nHands-on experience with large language models (LLMs) and transformer architectures (BERT and successor models), including fine-tuning, prompt engineering, pipeline orchestration, and retrieval-augmented generation (RAG).\nExperience processing complex technical documentation such as engineering manuals, specifications, technical artifacts, tables, and figures.\nStrong proficiency in Python and modern machine learning frameworks, including PyTorch and Hugging Face Transformers.\nDemonstrated experience converting unstructured text into structured, machine-actionable knowledge.\nCurrently holds an active U.S. national security clearance or be able to receive and maintain one.\nPreferred Qualifications (Not Required)\nMaster's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.\nExperience deploying and maintaining production-scale NLP or LLM applications.\nFamiliarity with vector databases, embedding models, and semantic retrieval systems.\nExperience with document parsing, OCR, layout-aware models, or multimodal document understanding.\nExperience working with engineering, manufacturing, aerospace, defense, or other highly technical datasets.\nKnowledge of MLOps practices, model monitoring, CI/CD pipelines, and cloud-based AI infrastructure.\nActive-duty military experience.\nPhysical Requirements\nProlonged periods sitting at a desk and working on a computer.\nMust be able to lift up to 15 pounds at times.\nClearance Requirements\nSome positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.\nEEOC & Know Your Rights\nLyntris companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the \"Know Your Rights\" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish\nPay Scales & Benefits\nThe listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.\nBenefits include…\nPaid Time Off\nPaid Company Holidays\nMedical, Dental & Vision Insurance\nOptional HSA and FSA\nBase and Voluntary Life Insurance\nShort Term & Long-Term Disability Insurance\n401k Matching\nEmployee Assistance Program","company":"Lyntris","rawCompany":"lyntris","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-06T16:58:00.014Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"This role is contingent upon contract funding.\n\nLyntris is a defense technology company that connects sensing to action across the connected battlespace. Lyntris brings together the talents of Accelint and Vitesse teams under one mission, with each contributing deep expertise within their domain. Combining differentiated hardware, software and mission expertise, Lyntris helps customers sense threats, make sense of complex conditions and act with greater speed, precision and confidence in contested environments.\n\nLyntris supports U.S. and allied defense organizations across every branch — including Navy, Army, Air Force, Space Force and allied partners — spanning strategic, operational and tactical missions and every domain: Space, Air, Land, Sea and Cyber. With more than 200 active defense programs, Lyntris works at every level of the mission, from national command authority to the tactical edge.\n\nSolutions are designed by operators who understand the mission, engineered for the conditions that degrade or defeat standard systems, and built on an open, modular architecture that integrates into existing programs without requiring them to start over. Lyntris moves faster than the traditional defense cycle — with integrated design, build and test capabilities in-house — and delivers systems that sustain and endure long after initial fielding.\n\nWe are seeking an experienced Machine Learning Engineer / NLP Engineer to develop intelligent document understanding solutions powered by modern natural language processing (NLP) and large language models (LLMs). In this role, you will build and optimize pipelines that transform complex technical documentation into structured, machine-actionable knowledge. You will work with transformer models, retrieval-augmented generation (RAG), and advanced document processing techniques to enable search, question answering, summarization, and information extraction across engineering and technical content.\nDuties & Responsibilities\nDesign, develop, and maintain NLP pipelines for technical and structured document understanding, including information extraction, summarization, semantic search, and question answering.\nBuild and optimize LLM-powered applications using transformer-based models, including fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) architectures.\nProcess and analyze complex technical corpora, including engineering manuals, specifications, technical reports, drawings, tables, and figures.\nDevelop methods to convert unstructured and semi-structured documents into structured, machine-actionable knowledge for downstream applications.\nImplement scalable machine learning solutions using Python and modern ML frameworks such as PyTorch and Hugging Face.\nEvaluate model performance, improve accuracy, and optimize inference pipelines for production environments.\nCollaborate with cross-functional teams, including software engineers, data scientists, and subject matter experts, to define requirements and deliver AI-enabled document intelligence solutions.\nPerforms other duties as assigned.\nRequired Qualifications\nBachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field (or equivalent practical experience).\n2-4 years of experience building NLP pipelines for technical or structured document understanding, including extraction, summarization, semantic search, and question answering.\nHands-on experience with large language models (LLMs) and transformer architectures (BERT and successor models), including fine-tuning, prompt engineering, pipeline orchestration, and retrieval-augmented generation (RAG).\nExperience processing complex technical documentation such as engineering manuals, specifications, technical artifacts, tables, and figures.\nStrong proficiency in Python and modern machine learning frameworks, including PyTorch and Hugging Face Transformers.\nDemonstrated experience converting unstructured text into structured, machine-actionable knowledge.\nCurrently holds an active U.S. national security clearance or be able to receive and maintain one.\nPreferred Qualifications (Not Required)\nMaster's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.\nExperience deploying and maintaining production-scale NLP or LLM applications.\nFamiliarity with vector databases, embedding models, and semantic retrieval systems.\nExperience with document parsing, OCR, layout-aware models, or multimodal document understanding.\nExperience working with engineering, manufacturing, aerospace, defense, or other highly technical datasets.\nKnowledge of MLOps practices, model monitoring, CI/CD pipelines, and cloud-based AI infrastructure.\nActive-duty military experience.\nPhysical Requirements\nProlonged periods sitting at a desk and working on a computer.\nMust be able to lift up to 15 pounds at times.\nClearance Requirements\nSome positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link.\nEEOC & Know Your Rights\nLyntris companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the \"Know Your Rights\" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish\nPay Scales & Benefits\nThe listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.\nBenefits include…\nPaid Time Off\nPaid Company Holidays\nMedical, Dental & Vision Insurance\nOptional HSA and FSA\nBase and Voluntary Life Insurance\nShort Term & Long-Term Disability Insurance\n401k Matching\nEmployee Assistance Program","datePosted":"2026-08-06T16:58:00.014Z","dateModified":"2026-08-06T16:58:00.014Z","hiringOrganization":{"@type":"Organization","name":"Lyntris","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5217bfb05e981a4978fc4fd0"},"url":"https://jobsearcher.com/jobs/5217bfb05e981a4978fc4fd0"}}