远程工作雷达

高级机器学习平台工程师(平台 - 身份)

Senior Machine Learning Platform Engineer(Platform - Identity)

AI开发工程限定地区(需当地身份)
公司Coinbase
薪资未公开
工作地点Remote - USA
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型未标注
发布时间今天
数据来源Greenhouse
前往企业招聘页投递 →
注意地域限制:该职位明确限定在 Remote - USA 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

准备好开展职业生涯中最有影响力的工作了吗?在 Coinbase,我们对提升经济自由的使命毫不妥协。标准很高,环境紧张,我们喜欢这样。这里不是安于现状的地方,而是让你突破自我认知极限的地方。如果你准备与那些不愿满足于“足够好”的人一起打造金融的未来,你就在正确的地方。Coinbase 是以远程优先的公司,但并非完全远程。你将每季度参加一次高强度的线下工作会,称为“冲刺”。

了解更多关于在 Coinbase 工作的信息。

高级机器学习平台工程师

作为平台组 ML 平台团队的高级机器学习平台工程师,你将构建支撑 Coinbase 内特征工程、模型训练和模型推理的基础架构。你构建的平台支持欺诈检测、用户个性化和区块链分析。你将负责关键系统,涵盖流处理、分布式训练和高可用推理服务,直接影响 ML 在公司的扩展方式。

你会做以下事情:

  • 负责 ML 推理基础设施的设计和可靠性,为预测模型和 LLM 提供服务,确保大规模下的高可用性和低延迟。
  • 构建并优化低延迟的流式数据管道,将新鲜且高质量的特征数据提供给生产环境中的 ML 模型。
  • 推动分布式训练基础设施的改进,使 ML 工程师能够高效处理大量数据。
  • 开发可观测性工具,监控进入模型的数据质量,并检测影响模型性能的退化情况。
  • 指导初级工程师构建生产级软件,逐步提高团队的工程标准。

所需技能和经验:

  • 5 年以上软件工程师行业经验,有在生产环境中负责分布式系统的实际经验。
  • 构建并运行过低延迟的数据或 ML 基础设施(流式数据管道、在线服务系统或分布式训练),能够处理大规模数据。
  • 有指导工程师并通过对代码审查、设计审查和技术领导力提升团队工程品质的记录。
  • 熟悉 ML 平台组件(特征存储、模型服务框架、训练编排),足以作为平台构建者与 ML 工程师有效合作。
  • 负责任地使用生成式 AI,
查看英文原文

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.

Senior Machine Learning Platform Engineer

As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company.

What you'll do:

  • Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale.
  • Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models.
  • Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently.
  • Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance.
  • Mentor junior engineers on building production-grade software, raising the team's engineering standards over time.

Required Skills and Experience:

  • 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments.
  • Built and operated low-latency data or ML infrastructure (streaming pipelines, online serving systems, or distributed training) processing data at scale.
  • Track record of mentoring engineers and raising team engineering quality through code reviews, design reviews, and technical leadership.
  • Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration) sufficient to partner effectively with ML engineers as a platform builder.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

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.
  • 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.
本页面信息整理自 Greenhouse,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

该公司其他在招职位

← 返回全部职位