Machine Learning Engineer, AI Innovations Lab

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:

The Innovation Lab team is a product incubator within HubSpot. It is a multi-stack team consisting of BE, FE, Machine Learning Engineers, UX Designers, and Product Managers building like startups do. The Innovation Lab team sits within the newly formed AI Innovation Group and is tasked with employing state-of-the-art AI and ML technologies to rapidly develop and test prototypes. We build new products and inspire teams to enhance our customers' marketing, customer engagement, sales acquisition, and operations efforts. See an overview of the larger AI effort at HubSpot.

Responsibilities:

• Design and develop machine learning models for a range of ML tasks using techniques such as deep learning and natural language processing
• Implement and deploy machine learning algorithms in a scalable and efficient manner, working closely with software engineer
• Collaborate with product managers to define and refine requirements and use cases for new ML technologies.
• Analyze and preprocess a wide variety of data sources to extract relevant features and insights
• 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 conversation intelligence, 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
• 3+ years of experience in developing and deploying machine learning models and algorithms, preferably in speech or text analysis domains
• Proficiency in Python programming and machine learning libraries such as TensorFlow, PyTorch, or Keras
• Familiarity with natural language processing and text analysis tools such as NLTK,  huggingface and the use of other open-source text embedding modules
• Experience working with LLMs and/or search relevancy 
• Familiarity with a variety of feature engineering techniques for both multi-modal analysis 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!

Cash compensation range: 157600-236400 USD Annually

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The cash compensation above 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 based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

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