Sr. Machine Learning Engineer II, AI Agent

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!