- Страна
- США
- Зарплата
- 130 000 $ – 180 000 $
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Forward Deployed AI Engineer
Исключительная возможность для инженеров, желающих видеть реальный результат своей работы в физическом мире. Статус 'единорога', конкурентная зарплата в долларах и опционы делают вакансию крайне привлекательной.
Сложность вакансии
Высокая сложность обусловлена необходимостью совмещать глубокие знания в AI/ML с навыками системного проектирования и готовностью к частым командировкам (до 50%). Роль требует 'менталитета основателя' и способности работать в условиях неопределенности напрямую с заказчиками.
Анализ зарплаты
Предлагаемый диапазон $130k–$180k является конкурентоспособным для уровня Middle/Senior в районе залива Сан-Франциско, хотя для топовых AI-инженеров в этом регионе верхняя планка может достигать $220k+ без учета бонусов. Наличие опционов (equity) значительно повышает совокупный доход.
Сопроводительное письмо
I am writing to express my strong interest in the Forward Deployed AI Engineer position at Avathon. With a solid background in building production-grade AI/ML applications and a passion for solving complex operational challenges, I am drawn to Avathon’s unique mission of deploying physical AI across critical infrastructure. My experience in bridging the gap between complex data models and real-world execution aligns perfectly with your focus on replacing static workflows with autonomous decisioning.
In my previous roles, I have demonstrated the ability to own end-to-end delivery of high-stakes projects, moving seamlessly from problem definition to architecture and deployment. I am particularly excited about the opportunity to work with Avathon’s Computational Knowledge Graph and to collaborate directly with operators in the field. I am comfortable with the travel requirements and thrive in high-pressure environments where technical decisions have immediate, real-world consequences.
I am eager to bring my expertise in Python and system design to the team and contribute to the evolution of your core platform. Thank you for considering my application. I look forward to the possibility of discussing how my skills can help Avathon continue to lead the physical AI revolution.
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Описание вакансии
Who We Are & Why Join Us
Avathon is the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy.
This is not digital AI. This is AI for operational reality where latency, constraints, and failure have real-world consequences.
Cutting-Edge AI Innovation – Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.
High-Growth Environment – Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
Meaningful Impact – Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: Avathon
About the Role
As the only physical AI unicorn headquartered in the San Francisco Bay Area, we go beyond models and dashboards we deploy AI that continuously computes across supply chains, energy systems, and industrial operations. Our Operational Technology platform turns fragmented data into real-time, autonomous decisioning across the systems that power the global economy.
This is not digital AI. This is AI for operational reality where latency, constraints, and failure have real-world consequences.
The Role:
Forward Deployed AI Engineers at Avathon are rewiring how the physical world operates. You will work directly with customers to take the hardest operational problems multi-echelon supply chains, constrained production systems, global logistics networks and turn them into continuously computing, AI-led systems.
You will design, build, and deploy production-grade AI applications that operate across real-world infrastructure where decisions propagate across thousands of nodes in real time.
What you will do: Responsibilities
This role operates with the intensity and ownership of a founder in the field:
- Own end-to-end delivery of high-stakes deployments in operational environments
- Design and implement Avathon’s Computational Knowledge Graph (CKG) that unify data, constraints, and decisioning, performing continuous computation across physical networks
- Replace static planning workflows with real-time, autonomous execution applications
- Work side-by-side with operators, planners, and key stakeholders to define problems and deliver solutions
- Push systems into production that directly control and influence real-world operations
- Drive product evolution by feeding field learnings into Avathon’s core platform
Preferred Skills
- Experience building AI/ML applications in production
- Strong foundation in machine learning, optimization, and system design
- Exceptional inferencing skills on applying necessary models in the field
- Demonstrated proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar
- Ability to reason complex, interconnected systems (supply chains, networks, infrastructure)
- Ability to move from problem to architecture to deployment without handoffs
We Value:
- We value engineers who build systems and tune industrial models
- Comfort operating in ambiguity, pressure, and high-stakes environments
- Willingness to work directly with customers and operate in real-world environments
- Travel to customer sites (up to 50%)
Qualifications:
- Master’s (preferred) or bachelor’s degree in science, technology, engineering
- An active U.S. Government security clearance (preferred)
- Excellent problem-solving, critical thinking, and communication skills
Compensation & Benefits
- California Base Salary Range: $130,000 – $180,000 USD (based on experience)
- Equity in the form of stock options
- Comprehensive health, dental, and vision coverage
- 401(k) participation
- Generous PTO and company holidays
- Ongoing learning and development opportunities
Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
Location:Reporting out of Avathon’s HQ in Pleasanton (San Francisco Bay Area), California.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.
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Навыки
- Python
- Java
- C++
- TypeScript
- JavaScript
- Machine Learning
- System Design
- Optimization
- AI
Возможные вопросы на собеседовании
Роль предполагает работу с физическими системами, где задержки критичны. Важно понять, как кандидат оптимизирует модели для таких условий.
Как бы вы подошли к оптимизации инференса модели ИИ в условиях жестких ограничений по задержке (latency) в промышленной сети?
В описании упоминается CKG. Вопрос проверяет понимание графовых структур в контексте ИИ.
Опишите ваш опыт работы с графами знаний или сложными взаимосвязанными системами. Как вы интегрируете их в пайплайны принятия решений?
Позиция Forward Deployed подразумевает тесный контакт с клиентом. Важно уметь переводить бизнес-проблемы в технические задачи.
Расскажите о случае, когда требования заказчика были размыты. Как вы перешли от неопределенности к конкретной архитектуре решения?
Работа связана с цепочками поставок и энергетикой, где данные часто фрагментированы.
Как вы справляетесь с проблемой низкого качества или фрагментации данных при развертывании ИИ в реальных операционных средах?
Вакансия требует высокой автономности.
Что для вас означает 'владение продуктом от начала до конца' (end-to-end ownership) в контексте внедрения ИИ на стороне клиента?
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- Страна
- США
- Зарплата
- 130 000 $ – 180 000 $