Sr. Machine Learning Engineer II
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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 Generative Models team is part of the AI Product Line at HubSpot and partners closely with the Generative AI Platform team to deliver the next generation of internally trained and fine-tuned Large Language Models.
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 deploy machine learning algorithms in a scalable and efficient manner, working closely with software engineers
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 and machine learning libraries such as TensorFlow, PyTorch, or Keras
Experience developing language models for a variety of generative tasks incl. Text generation, summarization etc.
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!
About the job
Sr. Machine Learning Engineer II
To see similar active jobs please follow this link: Remote Development jobs
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 Generative Models team is part of the AI Product Line at HubSpot and partners closely with the Generative AI Platform team to deliver the next generation of internally trained and fine-tuned Large Language Models.
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 deploy machine learning algorithms in a scalable and efficient manner, working closely with software engineers
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 and machine learning libraries such as TensorFlow, PyTorch, or Keras
Experience developing language models for a variety of generative tasks incl. Text generation, summarization etc.
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!