高级软件工程师,后端(机器学习特性平台)
Senior Software Engineer, Backend (ML Feature Platform)
在Affirm,我们存在的意义是为那些重要的时刻提供清晰、可预测的支付方式,没有隐藏费用,没有意外,也不会在最重要的事情上做出妥协。
ML Feature Platform 是Affirm ML平台的两个团队之一,另一个团队是ML Training & Serving Platform。这两个平台团队紧密合作,打造ML + Data飞轮,赋能Affirm。ML Feature Platform 的使命是:通过构建一个令人愉悦、自助式的平台,用于开发和提供机器学习和决策的数据,从而推动Affirm业务增长。
作为特征平台团队,我们负责多个组件,这些组件共同涵盖了特征的端到端流程。这包括:
- 特征创建、探索和提供
- 数据存储、可用性和可见性
- 离线回填基础设施和平台改进
这个范围意味着你的工作将直接影响我们的最终用户(MLE、分析师和决策团队)的日常使用和能力。此外,作为ML和在线决策的主要数据源,我们平台的性能对Affirm的可用性和延迟目标至关重要。我们正在寻找对ML赋能充满热情的工程师,他们相信平台层面的改进可以在整个公司产生滚雪球效应。
你将负责:
- 负责并交付团队的季度目标,带领团队中的工程师在不确定性中解决开放性问题,并确保在整个交付过程中每个人都能得到支持。
- 通过与产品管理、设计和分析团队合作,在构思阶段参与、阐述技术限制,并在考虑风险和权衡的情况下共同做出决策,来支持你的同事和利益相关者在产品开发周期中的工作。
- 主动识别项目、流程、技术和业务问题,倡导这些问题,并领导解决它们。
- 通过创建和监控指标、在需要时进行升级,并支持“保持系统运行”和值班工作,来支持你团队组件的运维和可用性。
- 通过设定或改进团队的代码审查和设计标准,并通过写作和技术演讲在团队之外倡导这些标准,来培养质量与责任的文化。
- 通过提供反馈和指导来帮助团队成员发展人才,并以身作则。
查看英文原文
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning.
As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes:
- Feature creation, exploration, and serving
- Data storage, availability, and visibility
- Offline backfilling infrastructure and platform improvements
This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company.
What You'll Do
- You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
- You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
- You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
- You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
- You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
- You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
- You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
- You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes.
- You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
- You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This posting is for an existing vacancy.
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: 153,000 - 213,000
#LI-Remote
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
- Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
- Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
- Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
- Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
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