机器学习工程师
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Machine Learning EngineerCoinbase · Remote - 印度
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职位描述
机器翻译准备好从事你职业生涯中最具影响力的工作了吗？在 Coinbase，我们对增加经济自由的使命毫不妥协。标准很高，环境紧张，而我们喜欢这样。这里不适合安于现状的人，而是一个让你突破自我认知极限的地方。如果你准备好与那些拒绝满足于“足够好”的人一起构建金融的未来，这里就是你的归属。Coinbase 是一家远程优先、但并非仅限远程的公司。预计每季度会聚在一起进行名为“surges”的高强度线下工作会议。了解更多关于在 Coinbase 工作的信息。
CX Intelligence 团队隶属于 Coinbase 的企业应用与架构组织，负责构建面向客户和内部的 CX 体验，连接帮助中心、聊天机器人（CBCB）和客服工作流。该团队拥有支撑 Coinbase 聊天、帮助中心和客服工具的多智能体平台，并与对话设计、CX 和工程团队紧密合作，提供安全、合规且可扩展的 AI 驱动支持。我们的工作帮助客户更快获得答案，同时让客服更有效地解决案例。
我们正在招聘一名 IC4 机器学习工程师，通过构建无缝的供应商-内部混合聊天机器人体验，帮助演进我们的对话生态系统。你将参与设计和实现统一的编排层，协调供应商 AI、内部多智能体系统和人类参与者之间的交互。这个角色非常适合喜欢解决复杂 ML 系统问题、在 LLM 框架之间构建可靠交接逻辑，并交付可衡量且可扩展的 AI 驱动产品的人。
岗位职责
• 构建并改进编排层，在分布式对话环境中管理供应商和内部 LLM 框架之间的状态转换、上下文共享和意图路由。
• 开发生产级 Python 服务，将先进的 AI 和 ML 能力与可靠的面向客户产品连接起来。
• 推动范围明确的 ML 项目从设计到交付，平衡技术权衡并跨团队协作。
• 为整个团队的系统设计、编码标准和 AI/ML 开发最佳实践做出贡献。
• 与工程师和跨职能利益相关者合作，构建安全、可扩展且高性能的 AI 驱动体验。
• 参与设计评审，并帮助确保功能符合 Coinbase 在安全、合规和性能方面的标准。
所需技能和经验：
• 2 年以上机器学习和软件工程专业经验，并有交付生产级 ML 服务的经验。
• 具有使用现代 AI 架构（如 LLM 和深度学习）构建的实操经验，并熟悉 LangGraph、LangSmith、Google ADK、Vertex AI 或 AWS Bedrock 等工具。
• 精通 Python，能够编写干净、可维护、经过充分测试的生产代码。
• 至少在一个领域（如 NLP、信息检索、计算机视觉或统计建模）具备工作知识。
• 能够编写技术设计文档，并向跨职能利益相关者清晰传达 ML 系统设计。
• 负责任地使用生成式 AI，应用人工监督来交付业务就绪的输出，并在效率、成本和质量方面实现可衡量的改进。
薪酬透明度通知：该职位的目标年度基本工资范围如下所述。总薪酬还可能包括股权和奖金资格以及福利（包括医疗、牙科和视力）。
年度基本工资范围（不包括股权和奖金）： ₹4,408,400 — ₹4,408,400 INR
• 申请限制：候选人在 6 个月内最多可提交 3 份申请。
• 平等机会雇主：Coinbase 是平等机会雇主。所有合格申请人将获得就业考虑，不因种族、肤色、宗教、性别、性取向、性别认同、国籍、残疾、受保护退伍军人身份或遗传信息而受到歧视。有犯罪历史的申请人将根据适用的联邦、州和地方法律予以考虑。
• 美国申请人：查看员工权利、了解你的权利和 E-Verify 参与通知。
• 便利安排：如果您是残障人士且需要合理便利，请将您的请求和联系信息发送至 accommodations[at]coinbase.com。需要屏幕阅读技术？点击此处下载免费的兼容屏幕阅读器并查看教程。
• 数据隐私与仲裁：提交申请即表示您同意我们的候选人隐私通知。美国申请人：提交申请即表示您同意争议仲裁。
以上内容由机器翻译自动生成，可能存在错误；投递前请以雇主原文为准。
查看雇主原文
职位描述
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase .
The CX Intelligence team is part of Coinbase’s Enterprise Applications and Architecture org and builds the customer-facing and internal CX experiences that connect the Help Center, chatbots (CBCB), and agent workflows. The team owns the multi-agent platform that powers Coinbase chat, Help Center, and agent tooling, partnering closely with Conversation Design, CX, and engineering teams to deliver secure, compliant, and scalable AI-powered support. Our work helps customers get answers faster while enabling agents to resolve cases more effectively.
We are hiring an IC4 Machine Learning Engineer to help evolve our conversational ecosystem by building a seamless hybrid vendor-internal chatbot experience. You will contribute to the design and implementation of a unified orchestration layer that coordinates interactions between vendor AI, internal multi-agent systems, and human participants. This role is ideal for someone who enjoys solving complex ML systems problems, building reliable handoff logic across LLM frameworks, and shipping AI-enabled products that are measurable and scalable.
岗位职责
• Build and improve the orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks in a distributed conversational environment.
• Develop production-grade Python services that bridge advanced AI and ML capabilities with reliable customer-facing products.
• Drive well-scoped ML projects from design through delivery, balancing technical trade-offs and collaborating across teams.
• Contribute to system design, coding standards, and AI/ML development best practices across the team.
• Partner with engineers and cross-functional stakeholders to build secure, scalable, and high-performing AI-enabled experiences.
• Participate in design reviews and help ensure features meet Coinbase standards for security, compliance, and performance.
Required Skills and Experience:
• 2+ years of professional experience in machine learning and software engineering, with experience shipping production-grade ML services.
• Hands-on experience building with modern AI architectures such as LLMs and deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock.
• Strong proficiency in Python and the ability to write clean, maintainable, well-tested production code.
• Working knowledge in at least one domain such as NLP, information retrieval, computer vision, or statistical modeling.
• Ability to write technical design documents and communicate ML system designs clearly to cross-functional stakeholders.
• Uses generative AI responsibly, applying human oversight to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.
Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
Annual base salary range (excluding equity and bonus): ₹4,408,400 — ₹4,408,400 INR
• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial .
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .