Senior Machine Learning Engineer, CX
准备好做出职业生涯中最具影响力的工作吗?在 Coinbase,我们不妥协地致力于提高经济自由的使命。杆是高的,环境是强烈的,我们喜欢这样做。这不是自满的地方,这是一个超越你感觉的限制的地方。如果你准备好与拒绝满足"足够好的"的人一起建立金融未来,你属于这里.Coinbase 是一个远程先,但不是仅远程公司。期待每季度举行一次名为?? surges 的个人工作会议。作为 Coinbase 客户参与与体验组织的 CX 智能工程团队高级机器学习工程师,你将设计和构建以 AI 为主动的系统,连接我们的帮助中心,聊天机器人和代理工作流程。这个团队拥有支持 Coinbase 聊天,帮助中心和代理工具表面的多代理平台,并与对话设计,CX 和工程团队合作提供安全,合规和可扩展的人工智能支持。你将推动关键的 CX 自动化倡议,包括多代理框架开发,代理辅助功能和 LLM 驱动安全行动,帮助客户更快地获得答案,同时使人为代理能够更有效地解决案件。你会做什么:· 设计和部署多代理框架来协助代理,内部 SOP 执行,并确保 LLC 驱动的操作,构建可扩展系统来处理数百万个客户互动。· 自主端到端项目执行复杂 ML 计划,管理优先事项,技术交易和跨职能依赖从设计到生产交付。· 建立和优化基于 AI 的保理聊天和代理副驾驶体验,以提高自动解决率并减少案件处理时间。·开发检测和管理坏行为者和对抗输入系统,确保多代理平台保持高规模信心和安全性。· 为 ML/AI 系统制定最佳系统设计,编码标准和评估框架,指导团队成员在建筑决策和现代化的 ML 开发工作流程上。所需技能和经验:· 5年以上机器学习和软件工程专业经验,具有生产级 ML 服务的记录。· 实践知识与大型语言模型,深度学习架构和生成人工智能
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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.
As a Senior Machine Learning Engineer on the CX Intelligence Engineering team within Coinbase's Customer Engagement and Experience org, you'll design and build the AI-powered systems that connect our Help Center, chatbots, and agent workflows. This team owns the multi-agent platform powering Coinbase chat, Help Center, and agent tooling surfaces, partnering with Conversation Design, CX, and Engineering teams to deliver secure, compliant, and scalable AI support. You'll drive key CX automation initiatives, including multi-agent framework development, agent assist capabilities, and LLM-powered secure actions that help customers get answers faster while enabling human agents to resolve cases more effectively.
What you'll do:
- Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.
- Own end-to-end project execution for complex ML initiatives, managing priorities, technical trade-offs, and cross-functional dependencies from design through production delivery.
- Build and optimize AI-driven concierge chat and agent copilot experiences that improve automated resolution rates and reduce case handling time.
- Develop systems to detect and manage bad actors and adversarial inputs, ensuring the multi-agent platform maintains high confidence and safety at scale.
- Establish best practices for system design, coding standards, and evaluation frameworks for ML/AI systems, mentoring team members on architectural decisions and modern ML development workflows.
Required Skills and Experience:
- 5+ years of professional experience in machine learning and software engineering, with a track record of shipping production-grade ML services at scale.
- Hands-on expertise with large language models, deep learning architectures, and the generative AI ecosystem (LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock), with demonstrated ability to build multi-agent or LLM orchestration systems.
- Proficiency in Python with the ability to write clean, maintainable, and highly tested production code for ML applications.
- Specialized depth in at least one domain: NLP, information retrieval, conversational AI, or advanced statistical modeling, with the ability to ramp quickly on adjacent areas.
- Proven ability to write technical design documents and communicate complex ML concepts clearly to non-technical stakeholders across product, design, and CX teams.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human‑in‑the‑loop practices to deliver business‑ready outputs and drive measurable improvements in efficiency, cost, and quality.
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Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):
$191,250—$225,000 USD
- 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.
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