- Страна
- США
- Зарплата
- 175 000 $ – 225 000 $
Откликайтесь
на вакансии с ИИ

AI Engineer, IS
Исключительная вакансия в престижном хедж-фонде с очень высокой базовой зарплатой и отличным пакетом льгот. Позиция предлагает реальное влияние на стратегию компании и работу с передовым стеком технологий.
Сложность вакансии
Высокая сложность обусловлена требованием глубоких знаний в области GenAI и ML, а также необходимостью интеграции решений в сложные финансовые процессы и облачную инфраструктуру AWS. Роль предполагает не только разработку, но и техническое лидерство.
Анализ зарплаты
Предлагаемый диапазон $175k-$225k находится на верхнем уровне рыночных ожиданий для AI-инженеров в США, особенно в финансовом секторе. С учетом бонусов, которые типичны для Point72, совокупный доход может значительно превышать средние показатели по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the AI Engineer position within the COO Team at Point72. With over five years of experience in developing machine learning solutions and a deep focus on Generative AI, I am confident in my ability to transform complex business challenges into robust, production-grade AI products. My background in leveraging AWS, Spark, and Python to build scalable intelligence tools aligns perfectly with Point72's mission to revolutionize finance through data-driven decision-making.
Throughout my career, I have successfully led projects from initial prototyping to full-scale deployment, ensuring rigorous model governance and performance monitoring. I am particularly drawn to this role because of the opportunity to collaborate across departments and define the firm's AI strategy. I am eager to bring my technical leadership and passion for innovation to Point72 to help drive operational efficiency and deliver superior risk-adjusted returns.
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Присоединяйтесь к команде Point72 и создавайте будущее финансов с помощью передовых технологий GenAI!
Описание вакансии
AI Engineer
A Career with Point72’s COO Team
The AI Engineer, Investment Services will be responsible for exploring opportunities to develop and build potential solutions that leverage GenAI and Machine Learning in an effort to deliver innovative, GenAI driven products that seek to enhance the firm's business processes and enterprise intelligence.
You will play a unique role by designing and implementing advanced GenAI/ML techniques and applications to solve key business problems across various departments with an aim to enhance operational intelligence, efficiency, and decision-making capabilities. This includes building prototypes to prove out the potential value of proposed AI solutions and transforming successful prototypes into robust, production-grade capabilities to enable opportunities for broad value creation for the firm.
Your projects will span both on-premises and AWS environments, leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and employing programming languages like Python, Java, and SQL.
As part of the AI/ML community at Point72, our teams collaborate horizontally with one another and vertically with our AI Platform and Data Teams, and Compliance to define the AI Strategy for the firm including its infrastructure, architecture, models, and data needs. This position offers immediate impact and growth opportunities, allowing you to apply your skills while advancing in modern AI integration and engineering.
What you’ll do
- Identify opportunities and develop technical roadmaps for GenAI solutions
- Scope, prioritize, prototype and deliver GenAI projects to help solve key business problems for Point72’s Investment Services teams. Your work/projects will span both on-premises and AWS environments, leverage technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and use programming languages such as Java, Python, and SQL
- Lead collaborations across the firm, where appropriate, on GenAI/ML initiatives and techniques
- Deliver analytics and insights to measure the value of solutions delivered
- Partner with groups across the firm such as Technology and Compliance on GenAI initiatives
- Partner internally to establish rigorous model governance practices, including testing, monitoring, and documentation to ensure solutions remain accurate and bias-free
- Stay up to date on AI/ML market landscape, trends, and technological innovations to provide recommendations on new tools and methodologies for adoption
What’s required
- Bachelor's degree in computer science, engineering, or related field
- Minimum 5+ years of professional experience
- Demonstrated success leveraging AI/ML to drive/improve business outcomes
- The ability to develop, own, and provide technical leadership over AI solutions, including model selection, fine-tuning, and ideally model development
- Excellent written and verbal communication skills
- Commitment to the highest ethical standards
We take care of our people
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Mental and physical wellness programs
- Volunteer opportunities
- Non-profit matching gift program
- Support for employee-led affinity groups representing women, minorities and the LGBT+ community
- Tuition assistance
- A 401(k) savings program with an employer match and more
About Point72
Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here
The annual base salary range for this role is $175,000-$225,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
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Навыки
- Python
- Java
- SQL
- Generative AI
- Machine Learning
- AWS
- Kafka
- Spark
- Data Lake
- Data Warehousing
Возможные вопросы на собеседовании
Проверка практического опыта работы с большими языковыми моделями и понимания их жизненного цикла.
Расскажите о вашем опыте дообучения (fine-tuning) или оптимизации GenAI моделей для специфических бизнес-задач. С какими трудностями вы столкнулись?
Вакансия требует работы с большими данными и облачными технологиями.
Как бы вы спроектировали масштабируемый пайплайн обработки данных для AI-решения, используя Kafka и Spark в среде AWS?
В финансовом секторе критически важна точность и отсутствие предвзятости.
Какие методы и инструменты вы используете для обеспечения комплаенса и мониторинга галлюцинаций в генеративных моделях?
Роль предполагает трансформацию прототипов в готовые продукты.
Опишите ваш подход к переводу успешного AI-прототипа в стадию промышленной эксплуатации (production-grade). Как вы обеспечиваете надежность системы?
Оценка способности кандидата приносить реальную пользу бизнесу.
Приведите пример, когда внедренное вами AI-решение значительно улучшило бизнес-показатели или операционную эффективность компании.
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- Страна
- США
- Зарплата
- 175 000 $ – 225 000 $