Sr. Machine Learning Engineer II, AI Agent

6 days ago

Cambridge, United States HubSpot Full time

HubSpot Overview:

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.

Job Summary:

As a Sr Machine Learning Engineer on the AI Agent team, you will play a critical role in helping build cutting-edge, composable solutions that leverage Large Language Models (LLMs). Our mission is to create a low-code composable UI that empowers product teams and, ultimately, our customers to rapidly develop scalable, reliable, and high-quality AI agents that deliver exceptional user experiences.

You will collaborate closely with a diverse team of Back-End Engineers, Front-End Engineers, and other ML Engineers to integrate the latest advances in LLM and NLP technologies. Your work will contribute directly to building a platform that simplifies the development of intelligent, adaptable agents, optimizing both usability and performance. Together, we aim to push the boundaries of AI-driven automation, offering seamless, intuitive tools that make building sophisticated AI solutions accessible to a wide range of users.

Responsibilities:

  • Design and develop machine learning models and tooling for pre-training and/or fine-tuning open source large language models.
  • Experience with the modern LLM stack incl. Retrieval augmented generation, parameter efficient fine-tuning, LoRA, etc.
  • Implement and fine-tune models using state-of-the-art libraries such as Hugging Face Transformers, PyTorch, TensorFlow, and LangChain.
  • Research, experiment with, and integrate new LLM technologies such as OpenAI's GPT models, Meta's LLaMA, Mistral, Anthropic's Claude, and Falcon.
  • Collaborate with product managers to define and refine requirements and use cases for conversation intelligence.
  • Analyze and preprocess data from a variety of sources including numeric, text and other mediums
  • Conduct experiments and evaluations of machine learning models, using statistical methods and visualization tools to assess performance and identify areas for improvement
  • Keep up to date with the latest research and trends in Generative AI, and contribute to the development of new algorithms and techniques
  • Participate in code reviews, testing, and documentation activities, ensuring high quality and maintainability of the codebase
  • Experience or interest in mentoring other team members and proactively sharing knowledge
Requirements:
  • A degree in Computer Science, Engineering, or related fields, with a focus on machine learning, natural language processing, or speech analysis
  • 5+ years of experience in developing and deploying machine learning models and algorithms, preferably in speech or text analysis domains
  • Proficiency in Python programming with experience using Hugging Face Transformers or other NLP libraries.
  • Hands-on expertise with LLM architectures such as GPT, GPT-Neo, BERT, LLaMA, or Falcon.
  • Familiarity with a variety of feature engineering techniques for both text and numeric data would be great
  • Experience mentoring other team members and helping to define best practices for the group
  • Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, interdisciplinary team environment.

If you are passionate about leveraging machine learning to transform the way businesses interact with their customers in a collaborative work environment, come join us in HubSpot AI Group

We know the confidence gap and imposter syndrome 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 using this form. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

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 in a full-time role, 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 HubSpot's annual PEER week, your Product Group Summit, and other in-person 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.

Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.

India Applicants: link to HubSpot India's equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers' needs at any stage of growth. We're also building a company culture that empowers people to do their best work. If that sounds like something you'd like to be part of, we'd love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022 and has been recognized for its award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees across the globe work remotely and in HubSpot offices. Visit our careers website to learn more about the culture and opportunities at HubSpot.

By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. HubSpot's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over HubSpot's use of your personal information.

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