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Оплачиваемая стажировка в Company hidden дает практический опыт в прикладных AI-проектах, с понятными задачами и полезной технической практикой. Но программа короткая и доступна только студентам, а льготы предоставляются не всем.
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Только для студентовСовременный стекПонятные задачиAI в спортеОплачиваемая стажировка
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Текст:
Hirify AI/Оригинал
TL;DR
Artificial Intelligence Specialty Intern (AI/Python/SQL): Building and testing AI-enabled prototypes and solutions for fan experience, basketball operations, player health, enterprise applications, and data intelligence with an accent on agentic AI, machine learning, data pipelines, and responsible AI practices. Focus on translating business needs into AI/ML frameworks, evaluating models and use cases, and developing scalable workflows with stakeholders.
Location: New York, USA; hybrid work with eligible employees able to work remotely one day per week.
Salary: $32/hour for undergraduate students; $40/hour for graduate students.
Company
hirify.global is a global sports and media organization operating the hirify.global, Whirify.global, hirify.global G League, hirify.global 2K League, and Basketball Africa League.
What you will do
Identify opportunities to apply AI to business processes and enterprise applications across fan experience, basketball operations, player health, and other functions.
Develop and test AI-enabled prototypes, including agentic solutions, for operational and business needs.
Support end-to-end project cycles from problem definition and data acquisition through model creation, evaluation, and stakeholder demonstrations.
Translate business needs into AI/ML solution frameworks with guidance from AI and data governance leaders.
Evaluate AI use cases, maintain quality and alignment within project teams, and apply responsible AI practices.
Document methodologies, workflows, and findings to support transferability and scale.
Requirements
Currently enrolled in a bachelor's degree as a rising senior or in a graduate degree in Artificial Intelligence, Computer Science, Data Science, Engineering, Information Systems, Statistics, or a related field.
Relevant coursework, projects, or experience with AI tools or machine learning techniques.
Working knowledge of Python and SQL.
At least one AI-powered application or automation built through coursework, personal projects, research, or hackathons.
Understanding of how large language models work, including their limitations.
Familiarity with APIs, Git, and software testing, including the ability to explain and check code written with AI coding assistants.
Ability to handle data and access securely.
Strong written, verbal, and technical communication skills, including explaining technical work to non-technical audiences.
Ability to work effectively in a team and manage multiple priorities; strong academic standing and demonstrated leadership through extracurricular or community experience.
Nice to have
Experience building AI agents or multi-step workflows, including tool calling, MCP, or reusable skills.
Experience with retrieval-augmented generation and search over source material.
Experience with AI coding and development tools such as Claude Code, OpenAI Codex, Amazon Bedrock, or Microsoft Copilot Studio.
Experience testing and measuring AI quality, including accuracy, speed, and cost.
Product design experience and experience building user interfaces for AI tools.
For basketball or player health projects, experience with computer vision, 3D, game engines such as Unreal Engine, or sensor data.
Prior internship or hands-on project experience in technology or applied AI.
Culture & Benefits
Ten-week summer internship program running from June 7 through August 13, 2027.
Professional development programming and community and social experiences.
Potential eligibility for medical coverage, short-term disability, mental health coaching or therapy, and sick time; eligibility varies by role.
Projects may support enterprise applications, basketball operations and research, player health, fan experience, or data intelligence and platform analytics.
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