AI/ML Engineer (Intern/CO-OP)
关于角色 这不是学术实习，而是构建和完成的职位。你将与创始团队合作，将智能集成到招聘平台的每个层次中。你将专注于创造可用 AI 系统，而不是仅仅开发模型。你会做什么 · 为候选人匹配，工作流自动化或决策支持进行原型 AI 代理。· 对招聘特定应用程序来调整大语言模式 (LLM)提示和模型。· 用嵌入式，矢量数据库和检索增强生成 (RAG) 工作流程进行实验。· 将人工智能模块集成在产品和工程团队一起的平台进程中。· 进行内部 A/B 测试，评估 AI 功能。教育和资格能力 · 目前在计算机科学，数据科学或相关领域取得学位或文凭。· 有资格接受无偿合作社或实习培训。如果你可能适合：· 与 Python,OpenAIAPI 和 LangChain 有实践经验。·了解模型构建与整个系统开发之间的区别。·享受将抽象想法转化为工作原型。·对自然语言处理 (NLP),LLM,建议系统或代理人感兴趣。· 在模糊的情况下快速工作感到舒服。· 建立自己的 AI 助理，GPT 或参与黑客赛项目。· 有 Pinecone,Weaviate 或 FAISS 的经验。· 在快速链接或多代理系统中有经验。我们的工作方式 · 我们移动迅速，保持精致，并专注于真正的用户问题。· AI 是我们的基础设施的一个基本组成部分，而不仅仅是一个趋势。· 我们的文化强调信任，所有权和代 - 没有微管理。补偿与福利。· 从经验丰富的创始人和运营商那里获得指导。· 获得实际产品曝光而不是从事繁忙工作。·享受远程先，异步和灵活的工作环境。· 在投资组合项目上做出现实影响。·作为长期贡献者，有资产机会的潜力。你准备好塑造招聘未来吗？现在申请。最初发表在喜马拉雅山
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About the Role
This is not an academic internship; it's a build-and-ship role. You will collaborate with the founding team to integrate intelligence into every layer of the hiring platform. You'll focus on creating usable AI systems that make a difference rather than just developing models.
What You'll Do
- Prototype AI agents for candidate matching, workflow automation, or decision support.
- Fine-tune large language model (LLM) prompts and models for hiring-specific applications.
- Experiment with embeddings, vector databases, and retrieval-augmented generation (RAG) workflows.
- Integrate AI modules into platform processes alongside product and engineering teams.
- Conduct internal A/B tests and evaluate AI features.
Education & Eligibility
- Currently pursuing a degree or diploma in Computer Science, Data Science, or a related field.
- Eligible for an unpaid co-op or internship placement.
You Might Be a Fit If You:
- Have hands-on experience with Python, OpenAI APIs, and LangChain.
- Understand the difference between building a model and developing an entire system.
- Enjoy turning abstract ideas into working prototypes.
- Are interested in natural language processing (NLP), LLMs, recommendation systems, or agents.
- Are comfortable working quickly in ambiguous situations.
Bonus Points
- Have built your own AI assistant, GPT, or participated in a hackathon project.
- Have experience with Pinecone, Weaviate, or FAISS.
- Have experience in prompt chaining or multi-agent systems.
How We Work
- We move quickly, stay lean, and focus on real user problems.
- AI is a fundamental part of our infrastructure, not just a trend.
- Our culture emphasizes trust, ownership, and iteration - no micromanagement.
Compensation & Perks
- Receive mentorship from experienced founders and operators.
- Gain real product exposure instead of engaging in busywork.
- Enjoy a remote-first, asynchronous, and flexible working environment.
- Work on portfolio-ready projects that make a real impact.
- Have the potential for equity opportunities as a long-term contributor.
Are you ready to shape the future of hiring? Apply Now.
Originally posted on Himalayas