POS-29423 <hr /> HubSpot, a market leader in sales and marketing technology, is the preferred platform for scaling businesses. The Finance Data team’s Advanced Analytics and Insights (AAI) group is pioneering the use of machine learning, large language models (LLMs), and intelligent agents to unlock high-impact financial insights. As we grow, we’re seeking an experienced Senior Machine Learning Engineer to build out the foundational AI and ML systems that support  complex AI needs from forecasting, smart insights to finance-focused copilots. As a Senior Machine Learning  Engineer (MLE) on the newly formed Finance AAI team,  you’ll build production-grade machine learning systems, deploy LLM-powered tools, and set up the ML infrastructure that supports financial forecasting, risk analysis, and AI-driven insights.. This is a role for builders: engineers who love solving complex problems and enabling business impact through smart automation. Strong coding skills in Python, ML, Gen-AI domains are very essential. Experience with Java is a strong plus that will help navigate our internal systems. <h3>Responsibilities &amp; Role Expectations</h3> <ul> <li>Collaborate with data scientists to deploy and maintain machine learning models for forecasting, anomaly detection, NLP analysis and customer outcome prediction. Take ownership of the full development lifecycle : including development, CI/CD pipelines, containerization, orchestration, and performance monitoring with tools like MLflow.</li> <li>Build a strong foundation of scalable and reusable infrastructure to support Finance’s ML/AI experimentation. Contribute SDKs, APIs, and clear documentation to streamline ML/LLM adoption and provide shared services in line with the Finance AAI’s roadmap.</li> <li>Design and implement LLM-driven workflows and autonomous agents tailored to Finance use cases such as narrative generation, AI copilots, and RAG-based insights. Apply techniques like prompt engineering, fine-tuning, and embedding search using open-source libraries including LangChain, Hugging Face, and OpenAI APIs. Confidently validate model performance using standard benchmarks and custom metrics.</li> <li>Champion strong engineering practices through mentorship and technical guidance, ensuring systems are aligned with data governance and regulatory standards. Collaborate with central teams at Hubspot to enable ML/AI best practices</li> <li>Engage in code reviews, testing, and documentation efforts to uphold code quality and maintainability. Mentor junior engineers and data scientists to strengthen their software development skills, optimize algorithms, and stay current with advancements in the field.</li> </ul> <h2>About You</h2> <ul> <li>Degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.</li> <li>Expert knowledge of machine learning and AI techniques, with a strong track record of selecting appropriate methods and successfully deploying multiple models in production, including full lifecycle ownership, development, CI/CD, monitoring, and maintenance</li> <li>Strong Python &amp; SQL skills with deep experience in ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, CrewAI and LangChain.</li> <li>Hands-on experience with LLM deployment (workflows &amp; agents), vector search, and RAG pipelines at scale.</li> <li>Familiarity with Java is a big plus, especially for internal service integration.</li> <li>Knowledgeable in model monitoring, alerting, and evaluation techniques.</li> <li>Proficient developing &amp; working with API’s &amp; standard ML deployment stack: Git, Docker, Kubernetes, FastAPI, etc.</li> <li>Capable of independently leading ML/AI projects from concept to production.</li> <li>Excellent communicator, able to translate complex technical ideas to diverse audiences. Collaborative and creative, thrives in fast-paced, iterative environments.</li> </ul> Bonus Points <ul> <li>Familiarity with React framework, and RPC functions to expose back-end systems to front-end clients.</li> <li>Experience working with Kafka or other stream based processing architecture.</li> <li>Familiarity with emerging LLM architectures and techniques in LLM space like Graph RAG, MCP, A2A, Long/Short term memory.</li> </ul> <hr />Cash compensation range: 136000-204000 USD Annually HubSpot, a market leader in sales and marketing technology, is the preferred platform for scaling businesses. The Finance Data team’s Advanced Analytics and Insights (AAI) group is pioneering the use of machine learning, large language models (LLMs), and intelligent agents to unlock high-impact financial insights. As we grow, we’re seeking an experienced Senior Machine Learning Engineer to build out the foundational AI and ML systems that support  complex AI needs from forecasting, smart insights to finance-focused copilots. As a Senior Machine Learning  Engineer (MLE) on the newly formed Finance AAI team,  you’ll build production-grade machine learning systems, deploy LLM-powered tools, and set up the ML infrastructure that supports financial forecasting, risk analysis, and AI-driven insights.. This is a role for builders: engineers who love solving complex problems and enabling business impact through smart automation. Strong coding skills in Python, ML, Gen-AI domains are very essential. Experience with Java is a strong plus that will help navigate our internal systems. <h3>Responsibilities &amp; Role Expectations</h3> <ul> <li>Collaborate with data scientists to deploy and maintain machine learning models for forecasting, anomaly detection, NLP analysis and customer outcome prediction. Take ownership of the full development lifecycle : including development, CI/CD pipelines, containerization, orchestration, and performance monitoring with tools like MLflow.</li> <li>Build a strong foundation of scalable and reusable infrastructure to support Finance’s ML/AI experimentation. Contribute SDKs, APIs, and clear documentation to streamline ML/LLM adoption and provide shared services in line with the Finance AAI’s roadmap.</li> <li>Design and implement LLM-driven workflows and autonomous agents tailored to Finance use cases such as narrative generation, AI copilots, and RAG-based insights. Apply techniques like prompt engineering, fine-tuning, and embedding search using open-source libraries including LangChain, Hugging Face, and OpenAI APIs. Confidently validate model performance using standard benchmarks and custom metrics.</li> <li>Champion strong engineering practices through mentorship and technical guidance, ensuring systems are aligned with data governance and regulatory standards. Collaborate with central teams at Hubspot to enable ML/AI best practices</li> <li>Engage in code reviews, testing, and documentation efforts to uphold code quality and maintainability. Mentor junior engineers and data scientists to strengthen their software development skills, optimize algorithms, and stay current with advancements in the field.</li> </ul> <h2>About You</h2> <ul> <li>Degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field.</li> <li>Expert knowledge of machine learning and AI techniques, with a strong track record of selecting appropriate methods and successfully deploying multiple models in production, including full lifecycle ownership, development, CI/CD, monitoring, and maintenance</li> <li>Strong Python &amp; SQL skills with deep experience in ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, CrewAI and LangChain.</li> <li>Hands-on experience with LLM deployment (workflows &amp; agents), vector search, and RAG pipelines at scale.</li> <li>Familiarity with Java is a big plus, especially for internal service integration.</li> <li>Knowledgeable in model monitoring, alerting, and evaluation techniques.</li> <li>Proficient developing &amp; working with API’s &amp; standard ML deployment stack: Git, Docker, Kubernetes, FastAPI, etc.</li> <li>Capable of independently leading ML/AI projects from concept to production.</li> <li>Excellent communicator, able to translate complex technical ideas to diverse audiences. Collaborative and creative, thrives in fast-paced, iterative environments.</li> </ul> Bonus Points <ul> <li>Familiarity with React framework, and RPC functions to expose back-end systems to front-end clients.</li> <li>Experience working with Kafka or other stream based processing architecture.</li> <li>Familiarity with emerging LLM architectures and techniques in LLM space like Graph RAG, MCP, A2A, Long/Short term memory.</li> </ul> <hr />Cash compensation range: 136000-204000 USD Annually<div><div><div><hr /> Pay &amp; 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. <a href="https://drive.google.com/file/d/1C1TGMkG5mos30bkgmNIap_sSzr-lCOWF/view?usp=sharing">This resource</a> will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s <a href="https://www.hubspot.com/careers-blog/compensation-philosophy">compensation philosophy</a>. Benefits are also an important piece of your total compensation package. Explore the <a href="https://www.hubspot.com/careers/benefits">benefits and perks</a> 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.</div><div>Annual Cash Compensation Range:</div><div>$136,000—$204,000 USD</div></div></div><div><hr /> We know the <a href="https://www.theatlantic.com/magazine/archive/2014/05/the-confidence-gap/359815/" target="_blank">confidence gap</a> and<a href="https://blog.hubspot.com/marketing/impostor-syndrome-tips" target="_blank"> impostor syndrome</a> can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you. If you need accommodations or assistance due to a disability, please reach out to us <a href="https://form.asana.com/?k=Xr9-j19kRaY5T5NjIeyx4Q&amp;d=8587152060687" target="_blank">using this form</a>. <hr /> 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 <hr /> 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 HubSpots Career Diversity page <a href="https://www.hubspot.com/careers/diversity" target="_blank">here</a>. India Applicants: link to HubSpot Indias equal opportunity policy <a href="https://drive.google.com/file/d/1fTZ0ht2chl1WRI7Tgrbzh9ytZUhL2jG9/view?__hstc=20629287.8bedd818fefb24c6303ec98fcf9dcfff.1724281309795.1724281309795.1724281309795.1&amp;__hssc=20629287.1.1724281309796&amp;__hsfp=1818362978" target="_blank">here</a>. <hr /> 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. HubSpots 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 &amp; Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow. We’re building a company<a href="https://www.hubspot.com/careers/hybrid-work"> where people can do their best work</a>. 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: <ul> <li><a href="https://www.hubspot.com/careers">HubSpot Careers</a></li> <li><a href="https://www.instagram.com/lifeathubspot">Life at HubSpot on Instagram</a></li> </ul> <hr /> By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to HubSpots <a href="https://legal.hubspot.com/recruiting-privacy-notice">Recruiting Privacy Notice</a> for details on data processing and your rights.</div>