About The Company
HubSpot is a leading provider of inbound marketing, sales, and customer service software that helps businesses grow by attracting, engaging, and delighting customers. Renowned for its innovative approach and customer-centric solutions, HubSpot empowers organizations to streamline their operations through a suite of integrated tools and platforms. With a commitment to fostering a collaborative and inclusive work environment, HubSpot continuously invests in cutting-edge technologies and talent to maintain its position at the forefront of the industry. The company's culture emphasizes transparency, continuous learning, and a passion for delivering exceptional value to clients worldwide.
About The Role
As a Staff Machine Learning Engineer within the Predictive Models team at HubSpot, you will play a pivotal role in shaping the future of our AI-driven insights. This team is part of the AI Foundations Group and works in close collaboration with the Predictive AI Platform team to develop advanced predictive models, scoring systems, and recommendation engines. Your expertise will drive the development of next-generation solutions that enhance product capabilities and deliver measurable impact across the organization. In this senior individual contributor role, you will leverage your deep understanding of machine learning techniques to lead complex projects, mentor junior engineers, and influence strategic decisions. You will be hands-on in coding, designing scalable architectures, and ensuring the deployment of reliable, secure, and efficient models that align with business objectives.
Qualifications
- Proven track record of delivering high-impact, cross-functional projects in a fast-paced environment
- Strong desire to remain hands-on with technical work while providing strategic guidance
- Experience developing solutions that significantly influence organizational goals
- Ability to provide strategic direction for complex projects
- Mentorship experience, guiding and teaching engineering teams
- Pragmatic problem-solving and decision-making skills
- Expertise in machine learning techniques such as deep learning, transformers, transfer learning, regression, and ranking
- Proficiency with ML tools and frameworks including scikit-learn, PyTorch, TensorFlow, etc.
- Strong understanding of ML architecture design tailored to business needs
- Ability to analyze both offline and online metrics, considering privacy, bias, security, and maintainability
- Passion for building scalable, reliable AI systems
- Deep knowledge of predictive AI concepts like recommendation systems, classification, and relevancy ranking
- Excellent collaboration, communication, and leadership skills
- Embodies core engineering values such as integrity, innovation, and continuous improvement
Responsibilities
- Lead the design, development, and deployment of advanced predictive models and AI solutions
- Collaborate with cross-functional teams to translate business requirements into effective machine learning solutions
- Mentor and guide junior engineers, fostering a culture of learning and technical excellence
- Develop scalable and maintainable ML architectures that support the company's growth and innovation goals
- Analyze model performance using a variety of metrics, ensuring models are fair, unbiased, and secure
- Stay up-to-date with the latest advancements in AI and machine learning, integrating innovative techniques into projects
- Provide strategic input on AI initiatives, influencing product development and organizational strategies
- Ensure models comply with privacy standards and ethical considerations
- Lead efforts to improve model robustness, interpretability, and operational efficiency
- Contribute to the continuous improvement of engineering practices within the team
Benefits
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance plans
- Flexible work hours and remote work options
- Generous paid time off and holidays
- Professional development programs and continuous learning opportunities
- Inclusive and collaborative work environment
- Employee wellness programs and resources
- Equity options and stock purchase plans
Equal Opportunity
HubSpot is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage individuals from diverse backgrounds to apply and join our team in shaping the future of AI-driven solutions.