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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$160к-190к/год
$160к$200кмедиана$240к
По похожим ролям (48) ~ $200к/год
На СНГ рынке: $5.3к/мес ($3.8к - $7.1к)
75
Хорошая вакансия
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Роль дает заметную ответственность за production AI-системы и понятный диапазон зарплаты, но оплата ниже рыночной медианы, а задачи для стартапа охватывают широкий круг направлений.
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Ниже рынкаШирокая зона ответственностиАктуальный стекРазвитие в AIБюджет на обучение
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead AI/ML Engineer (AI/ML and agentic AI): Building and productionizing machine learning and agentic AI functionality for a predictive procurement platform with an accent on production reliability, evaluation systems, and responsible AI. Focus on shaping AI/ML architecture, embedding intelligent capabilities into enterprise software, and managing latency, cost, error handling, and safety in production.
Location: United States; remote-first with regular in-person team-building, design sprint, and customer opportunities
Salary: $160,000–$190,000 USD per year
Company
hirify.global provides a predictive procurement platform that uses AI, game theory, and behavioral science to improve enterprise negotiations and uncover savings.
What you will do
Design, build, and productionize machine learning and agentic AI functionality.
Embed AI capabilities into the product in partnership with product engineering squads.
Shape AI/ML architecture, the evolving technology stack, and production engineering practices.
Own evaluation sets, ground truth, and automated evaluation systems for AI projects.
Build tooling for reliable production deployment, with attention to latency, cost, error handling, safety, and responsible AI.
Guide engineers on AI/ML practices and communicate with technical, non-technical, and customer-facing stakeholders.
Requirements
6+ years of experience in data science, machine learning engineering, or a related quantitative or engineering field.
Hands-on experience delivering production ML or AI systems, including ML models or agentic functionality.
Strong software engineering skills, particularly in Python.
Experience building evaluation sets or ground truth for ML or LLM-based systems and using MLOps practices.
Familiarity with cloud platforms, preferably AWS, data warehousing such as Snowflake, version control, and CI/CD.
Ability to lead technical work with limited oversight and influence technical direction without formal authority.
Nice to have
Experience embedding LLM-based or agentic features into a production product.
Experience with dbt, Docker, or Kubernetes.
Experience mentoring engineers or serving as a technical go-to person.
Knowledge of procurement or supply chain data models.
Enterprise software or startup experience.
Culture & Benefits
Remote-first work with regular opportunities to meet in person.
Medical, dental, and vision insurance premiums covered up to 100% for employees.
401(k) discretionary employer matching and unlimited PTO.
Annual $1,000 budget for learning and professional development.
Startup equity and a diverse, inclusive, highly collaborative work environment.
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