Gusto is seeking a strategic Head of Machine Learning and AI to lead a newly carved out function and improve customer experiences and operations through ML/AI use cases.
Requirements
Strong expertise in machine learning techniques, statistical modeling, and AI technologies, with hands-on experience in deploying models at scale
Strong software engineering literacy and able to lead and grow a technical team of Machine Learning Engineers
Deep understanding of ML operations (MLOps) practices, including model monitoring, retraining, and lifecycle management.
Experience in risk modeling or working within regulated environments is a plus.
Experience with the Fintech industry or risk management domain is a plus
Advanced degree in computer science, data science, machine learning, or a related field is a plus
Strong expertise in machine learning frameworks and tools
Responsibilities
Oversee the design, development, and deployment of machine learning models and AI solutions that address key business challenges.
Collaborate closely with the ML Engineering Platform and AI Platform teams to ensure seamless integration and deployment of models into production environments.
Drive the adoption of best practices in model development, including monitoring, retraining, and ensuring compliance with relevant ethical and regulatory guidelines.
Establish KPIs and metrics to track the performance and business impact of ML solutions, reporting regularly to senior leadership.
Work with the AI Platform team to stay abreast of the latest developments in machine learning and artificial intelligence, ensuring the company remains at the cutting edge of innovation.
Lead, manage, and mentor both the Applied ML/AI and Risk Data Science teams, fostering a culture of innovation, collaboration, and continuous learning.
Partner with key stakeholders across product, engineering, and business units to identify opportunities for ML/AI-driven improvements and innovations.
Other
8+ years of experience leading teams in applied machine learning, AI, or data science roles, with a track record of delivering impactful software solutions.
Excellent leadership and people management skills, with the ability to inspire and grow high-performing teams.
Strong collaboration and communication skills, with experience working closely with engineering, product, and business teams to deliver end-to-end solutions.
Strategic thinker with a business-first mindset, able to build a vision for the future that inspires.
Passion for responsible AI practices and a commitment to ethical AI development.
Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical stakeholders.
Ability to work from the office on designated days approximately 2-3 days per week (or more depending on role)
