HubSpot
1001 - 5000 employees
Founded 2006
🤝 B2B
☁️ SaaS
B2B • SaaS • Marketing
HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.
Principal Machine Learning Engineer
Job not on LinkedIn
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $285.8k - $457.3k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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HubSpot
1001 - 5000 employees
Founded 2006
🤝 B2B
☁️ SaaS
B2B • SaaS • Marketing
HubSpot is an AI-powered customer platform that combines marketing, sales, and customer service software into one integrated suite. With over 238,000 customers in 135 countries, HubSpot offers tools for marketing automation, sales management, customer service, content marketing, operations, and B2B commerce. With products like Marketing Hub, Sales Hub, Service Hub, and Content Hub, HubSpot enables businesses to generate leads, close deals, and provide excellent customer support, all while using AI to enhance operations and insights. The platform is designed to unify teams and customer data, supporting both small startups and large enterprises in their growth journey.
📋 Description
• Build systems to enable HubSpot's AI to understand complex data • Define technical direction for ML systems • Collaborate across product, engineering, and ML teams • Lead projects from development to measurable impact
🎯 Requirements
• Extensive experience in ML and AI • Proven track record of delivering impactful projects • Deep understanding of ML techniques • Expert in systems architecture for ML and AI • Strong mentoring and leadership skills • Experience in ambiguous problem solving
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Stock options • Equipment allowances • Wellness programs
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