2 дня назад
AI/ML Engineer
175 000 - 225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI/ML Engineer (RAG/LLM): Building and maintaining retrieval-augmented generation pipelines, LLM integrations, REST API interactions, and self-hosted language model deployments with an accent on semantic retrieval, prompt assembly, and AI/ML research. Focus on red teaming LLM alignment, evaluating emerging methodologies, and developing secure AI capabilities for national security missions.
Location: Sterling, Virginia, United States
Salary: $175,000–$225,000 USD annually
Company
delivers technical and mission expertise for national security, technology, and defense challenges.
What you will do
- Implement and maintain RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly.
- Integrate LLMs into applications through APIs and modern frameworks.
- Develop and maintain REST API interactions for data retrieval and system integration.
- Deploy and maintain self-hosted LLMs.
- Conduct red teaming of LLM alignment and support evolving national security mission requirements.
Requirements
- Active TS/SCI clearance and ability to obtain a polygraph clearance.
- At least 8 years of experience with a bachelor's degree, 7 years with a master's degree, or 6 years with a doctorate.
- Independent technical research and advanced analytical problem-solving comparable to a PhD-level research environment.
- Experience developing AI/ML applications focused on RAG, semantic retrieval, LLM integration, or related workflows.
- Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations.
- Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks.
Nice to have
- Advanced research experience in machine learning, deep learning, NLP, generative AI, reinforcement learning, computer vision, or related disciplines.
- Research publications, open-source AI/ML contributions, or experience leading experimental and prototype development.
- Experience with model evaluation, fine-tuning, inference optimization, AI observability, vector databases, AWS, Docker, and containerized AI/ML workflows.
- Experience designing REST APIs and scalable data architectures.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage.
- Health Savings Account with company contribution.
- Paid time off, paid holidays, and paid parental leave.
- 401(k) with company match and financial wellness support.
- Training and development opportunities, award programs, and company-sponsored events.
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