Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше среднего
$225к-320к/год
$160к$230кмедиана$290к
По похожим ролям (50) ~ $230к/год
На СНГ рынке: $4.7к/мес ($3.5к - $6.5к)
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Роль четко определена с сильным акцентом на прикладной ИИ, но отсутствие информации о зарплате является недостатком, который может повлиять на принятие решения.
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Зарплата не указанаЧеткое определение ролиПродуктовая компанияФокус на ИИ
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead of Applied AI (AI/ML): Leading the development and operationalization of AI across Peregrine's platform, transforming data into trusted capabilities. Focus on AI infrastructure, model evaluation, and collaboration with product and engineering teams to integrate AI into core workflows.
Location: San Francisco, CA, United States
Annual salary: $225,000–$320,000 USD, plus benefits, potential equity, and potential bonus.
Company
hirify.global provides an AI-enabled intelligence platform that helps public safety organizations, government agencies, and private-sector institutions turn disconnected data into operational insights.
What you will do
Lead the design and deployment of customer-facing AI features across the intelligence platform.
Translate operational problems into deployable AI-powered solutions and integrate them into core workflows.
Guide fine-tuning and reinforcement learning strategies, selecting between classical machine learning, deep learning, and LLM-based approaches.
Shape training and inference pipelines, model serving, versioning, rollback, and integration with real-time and batch data systems.
Define evaluation frameworks, quality standards, monitoring, drift detection, and failure analysis for deployed models.
Build and lead the Applied AI/ML team while setting technical direction and partnering with executive leadership on AI strategy.
Requirements
Experience shipping AI-powered features into production, ideally in enterprise or mission-critical environments.
Hands-on experience with model fine-tuning for LLMs or deep learning models.
Practical experience with reinforcement learning.
Experience designing and operating AI/ML infrastructure.
Direct ownership of model evaluation, experimentation, and quality measurement.
Strong software engineering fundamentals at a lead level.
Nice to have
Experience with large-scale or real-time data platforms.
Experience in public sector, security, healthcare, finance, or another domain where trust, explainability, and reliability are important.
Previous experience leading software engineering teams.
Culture & Benefits
Work on production AI used in high-consequence environments.
Benefits package included.
Potential equity and bonus, depending on eligibility.
Inclusive workplace and equal employment opportunity environment.
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