Principal Machine Learning Engineer at HubSpot

Job description

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.

Requirements

Must-haves

Principal Machine Learning Engineer
About the Team
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
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.
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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