首席机器学习工程师
Principal Machine Learning Engineer
POS-33520
高级机器学习工程师
HubSpot 是一个一体化的营销、销售和服务软件平台，帮助企业在成长和成功方面取得进展。通过用户友好的界面和强大的工具，HubSpot 使企业能够吸引、参与并让客户感到满意，从而推动增长并提高收入。从营销自动化到 CRM，HubSpot 提供全面的解决方案，使企业能够在数字时代取得成功。
关于团队
HubSpot 正在构建支撑我们下一代代理产品体验的基础 AI 基础设施。我们正在寻找一位高级机器学习工程师，帮助塑造产品团队所依赖的基础层：代理运行时、评估系统、质量信号、模型优化、微调和模型路由。
该团队负责 Breeze Engine，这是 Breeze Assistant 和其他 AI 驱动产品体验背后的平台，以及 Aviator，这是 HubSpot 内部用于构建和运行代理的框架。这不是一个功能团队的角色，而是一个高影响的基础设施角色，专注于构建在公司范围内产生杠杆效应的系统。
你将参与的工作
- 构建代理运行时、评估、质量测量和模型优化的基础设施。
- 创建工具，帮助团队了解他们的评估在哪些地方表现良好，哪些地方覆盖不足，以及用户提出的问题系统尚未准备好处理的地方。
- 设计信号管道，在 CSAT 下降之前揭示用户不满、代理失败状态和质量问题。
- 协助定义适用于 HubSpot 的 AI 基准，用于评估真实 HubSpot 工作负载上的模型性能。
- 构建系统以在代理之间评估新模型，提升产品质量，降低成本，并支持未来的模型路由。
- 使 HubSpot 的 AI 使用场景中的微调和任务特定优化更加可重复。
我们寻找的人才
我们正在寻找一位资深技术领导者，他/她：
- 在生产环境的 ML、LLM 或 AI 基础设施方面有深厚经验。
- 有构建大规模系统的经验，其中可靠性、延迟、质量和成本至关重要。
- 以平台思维而非一次性解决方案思考问题。
- 能够跨基础设施、产品、后端和 ML 团队协作。
- 有评估框架、模型服务、微调、信号提取、实验、反馈循环或模型优化等领域的经验。
- 对模糊且基础性的问题充满热情，许多答案仍需探索。
查看英文原文
POS-33520
Principal Machine Learning Engineer
HubSpot is an all-in-one marketing, sales, and service software platform that helps businesses grow and succeed. With a user-friendly interface and powerful tools, HubSpot enables businesses to attract, engage, and delight customers, ultimately driving growth and increasing revenue. From marketing automation to CRM, HubSpot offers a comprehensive solution that empowers businesses to succeed in the digital age.
About the Team
HubSpot is building the foundational AI infrastructure that powers our next generation of agentic product experiences. We’re looking for a Principal Machine Learning Engineer to help shape the base layer that product teams build on: agent runtime, evaluation systems, quality signals, model optimization, fine-tuning, and model routing.
This team owns Breeze Engine, the platform behind Breeze Assistant and other AI-powered product experiences, as well as Aviator, HubSpot’s internal framework for building and running agents. This is not a feature-team role it is a high-scope infrastructure role focused on building systems that create leverage across the company.
What You’ll Work On
- Build infrastructure for agent runtime, evaluation, quality measurement, and model optimization.
- Create tooling that helps teams understand where their evals are strong, where coverage is missing, and where users are asking questions the system is not yet prepared to handle.
- Design signal pipelines that surface user frustration, agent failure states, and quality issues before they show up as CSAT drops.
- Help define a HubSpot-specific AI benchmark for evaluating model performance on real HubSpot workloads.
- Build systems to evaluate new models across agents, improving product quality, reducing cost, and supporting future model routing.
- Make fine-tuning and task-specific optimization more repeatable for HubSpot’s AI use cases.
What We’re Looking For
We’re looking for a senior technical leader who:
- Has deep experience with production ML, LLM, or AI infrastructure.
- Has built systems at scale where reliability, latency, quality, and cost matter.
- Thinks in platforms, not one-off solutions.
- Can work across infrastructure, product, backend, and ML teams.
- Has experience with areas like eval frameworks, model serving, fine-tuning, signal extraction, experimentation, feedback loops, or model optimization.
- Is excited by ambiguous, foundational problems where many of the answers still need to be invented.
- Can influence senior engineers and leaders through technical credibility and clear judgment.
Why This Role Matters
This is a chance to help define how AI infrastructure works across HubSpot. The person in this role will help set the technical direction for how we evaluate, improve, and scale AI agents across the company.
Pay & Benefits
The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons.
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.
Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
Annual Cash Compensation Range:
$285,800—$457,300 USD
At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.
If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements
About HubSpot
HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.
At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.
We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.
Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.
Explore more:
- HubSpot Careers
- Life at HubSpot on Instagram
If you need accommodations or assistance due to a disability, please reach out to us using this form.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.
India Applicants: link to HubSpot India's equal opportunity policy here.
HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.
Originally posted on Himalayas