- Страна
- США
- Зарплата
- 180 000 $ – 440 000 $
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на вакансии с ИИ

Member of Technical Staff - Government (Cleared)
Исключительная возможность работать в одной из самых амбициозных ИИ-компаний мира над проектами национального значения. Высокий уровень компенсации и работа с передовыми технологиями компенсируют жесткие требования к кандидатам.
Сложность вакансии
Высокая сложность обусловлена необходимостью наличия допуска к секретной работе (security clearance) и уникальным сочетанием навыков: от глубокого понимания LLM до опыта работы с государственными структурами США. Ожидается уровень ответственности, сопоставимый с CTO стартапа.
Анализ зарплаты
Предлагаемая зарплата ($180k - $440k) значительно превышает средние рыночные показатели для Senior/Staff инженеров даже в топовых технологических хабах США, что отражает уникальность требований и престиж компании.
Сопроводительное письмо
I am writing to express my strong interest in the Member of Technical Staff - Government position at xAI. With over six years of experience in software engineering and a proven track record of delivering high-stakes AI solutions, I am drawn to xAI’s mission of creating systems that accurately understand the universe. My background in building secure, scalable LLM-powered software aligns perfectly with your goal of providing mission-critical tools for government and enterprise partners.
Throughout my career, I have specialized in bridging the gap between complex engineering and mission-driven requirements. I have extensive experience in Python and TypeScript, as well as a deep understanding of machine learning fundamentals, including model evaluation and fine-tuning. Having worked on projects requiring high reliability and security, I am well-versed in the nuances of government-aligned deployments and the importance of robust, auditable system design.
I am particularly excited about the flat organizational structure at xAI and the opportunity to operate with the agility of a startup CTO. I thrive in fast-paced environments where initiative and technical excellence are the primary drivers of leadership. I am confident that my technical expertise and commitment to engineering excellence will allow me to make immediate and significant contributions to the Grok for Government team.
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Откликнитесь в xai уже сейчас
Присоединяйтесь к xAI, чтобы создавать ИИ-решения национального масштаба и определять будущее технологий в государственном секторе.
Описание вакансии
About xAI
xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
ABOUT THE ROLE:
Applied engineers work directly with our end customers, including federal government and enterprise partners, to own strategy and execution of mission-critical AI solutions. This role mirrors the responsibilities of a hands-on AI startup CTO: you’ll collaborate in a small, agile team to deliver high-stakes projects, often in secure or regulated environments.
RESPONSIBILITIES:
- Drive the development and enhancement of the core product and underlying model, while collaborating cross-functionally to deliver end-to-end AI solutions.
- Identifying pain points, scoping product specifications, and designing and building LLM-powered software for government or enterprise use cases.
- Benchmarking models and developing evaluation frameworks to assess performance and address weaknesses, ensuring compliance with customer standards.
- Enhancing model performance through system prompt tuning or fine-tuning, with an eye toward secure and scalable deployment.
- Analyzing request logs, prompt data, or system outputs to ensure reliability and auditability.
- Building internal tooling to streamline workflows and automate repetitive tasks in secure environments.
- Refining xAI SDKs or developer documentation based on customer feedback, with an emphasis on usability for government or enterprise developers.
BASIC QUALIFICATIONS:
- Government Partnership Experience: Demonstrated success working with government agencies, DoD, or federal contractors on AI, software, or data projects.
- Clearance Preferred: Active U.S. security clearance (e.g., Secret, Top Secret) or eligibility to obtain one is highly desirable.
- 6+ years of software engineering experience, ideally in environments requiring high reliability or security.
- Excellent verbal and written communication skills in English, with experience documenting technical solutions for diverse stakeholders.
- Ability to translate business, product, or mission needs into engineering solutions, particularly for government or enterprise clients.
- Proven experience implementing AI or machine learning products with APIs, back-end systems, and front-end interfaces.
- Proficiency in Python and/or TypeScript.
- Strong understanding of the HTTP protocol and secure API design.
- Robust engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science.
PREFERRED SKILLS AND EXPERIENCE:
- Experience building evaluation frameworks for AI systems and assessing capabilities in regulated or high-stakes contexts.
- Deep understanding of machine learning fundamentals—model evaluation, training, and fine-tuning—with a focus on production-ready deployments.
- History of deploying machine learning models to production, ideally in secure or cloud-based government environments.
- Expertise in writing developer documentation or maintaining SDKs for technical audiences, including government developers.
- Ability to work with massive datasets, optimize system performance, and scale solutions for high-throughput, mission-critical workloads.
- Familiarity with infrastructure-as-code tools like Pulumi or Terraform, particularly in secure or government-aligned deployments.
- A passion for solving complex, real-world problems—particularly those tied to government missions or enterprise objectives—delivering measurable impact through AI.
- Proven ability to ship high-quality, secure code and complete projects in challenging, regulated, or ambiguous environments.
- Adaptability to shifting priorities and requirements in a fast-paced, mission-driven startup setting.
- Exceptional communication skills to interface with customers—including government stakeholders—clarifying technical requirements and driving projects to completion.
- Expertise in designing, implementing, and maintaining robust, scalable, and secure AI-driven solutions that meet stringent compliance and operational standards.
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
xAI is an equal opportunity employer. For details on data processing, view ourRecruitment Privacy Notice.
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Навыки
- TypeScript
- Python
- Terraform
- Machine Learning
- LLM
- Software Engineering
- Backend
- API Design
- HTTP
- Data Science
- Pulumi
Возможные вопросы на собеседовании
Вакансия предполагает работу с государственными заказчиками, где безопасность данных является приоритетом.
Опишите ваш опыт проектирования и развертывания ИИ-систем в закрытых или строго регулируемых средах. С какими основными вызовами безопасности вы сталкивались?
Роль требует не только разработки, но и оценки качества моделей для специфических нужд.
Как бы вы построили фреймворк для оценки галлюцинаций и точности LLM в контексте обработки чувствительной правительственной документации?
Упоминается необходимость доработки моделей под конкретные задачи.
В каких случаях вы бы предпочли fine-tuning модели вместо prompt engineering или RAG для решения задач государственного сектора? Обоснуйте выбор.
Работа в xAI предполагает высокую автономность и умение расставлять приоритеты.
Расскажите о ситуации, когда требования заказчика (госструктуры) конфликтовали с техническими ограничениями. Как вы управляли ожиданиями и какое решение приняли?
Требуется опыт работы с инфраструктурой как кодом.
Каков ваш опыт использования Terraform или Pulumi для обеспечения воспроизводимости и безопасности облачной инфраструктуры при работе с массивными наборами данных?
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- Страна
- США
- Зарплата
- 180 000 $ – 440 000 $