Senior Machine Learning Engineer, AI Agent

Hubspot - Cambridge, MA

Full-time - Mid Level

Cambridge, MA

501-1,000 employees

Professional, Scientific, and Technical Services

About the position

As a Sr Machine Learning Engineer on the AI Agent team at HubSpot, you will be instrumental in developing innovative solutions that utilize Large Language Models (LLMs). Your role will focus on creating a low-code composable UI that enables product teams to efficiently build scalable and high-quality AI agents, enhancing user experiences. You will collaborate with a diverse team to integrate cutting-edge LLM and NLP technologies, contributing to a platform that simplifies the development of intelligent agents.

Responsibilities

• Design and develop machine learning models and tooling for pre-training and/or fine-tuning open source large language models.
• 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.
• Mentor other team members and proactively share 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.
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced, interdisciplinary team environment.

Nice-to-haves

• Experience mentoring other team members and helping to define best practices for the group.

Benefits

• Competitive cash compensation including base salary and annual bonus targets.
• Participation in HubSpot's equity plan to receive restricted stock units (RSUs).
• Flexible work environment with options for remote work.
• In-person onboarding and team-building events.
• Support for employees with disabilities during the interview process.