Gusto is looking to drive the scale and optimization of their customer experience and customer journey via building AI and ML enabled experiences and services
Requirements
8+ years’ hands-on experience building and deploying end-to-end ML/AI systems in industry or academia
Deep expertise in advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, etc.)
Proven track record of delivering large, impactful ML projects into production environments
Proficient in modern ML frameworks (TensorFlow, PyTorch, etc.) and cloud computing platforms (AWS, GCP, or Azure)
Strong programming skills in Python and familiarity with best engineering practices (CI/CD, testing, code review)
Responsibilities
Design and develop scalable, production-grade AI and machine learning models for complex business problems
Lead and mentor teams of ML scientists and engineers, fostering a culture of technical excellence and innovation
Collaborate cross-functionally with product, engineering, and business stakeholders to identify AI opportunities and translate them into actionable solutions
Stay current with latest AI research; prototype and implement new algorithms and advancements from academia and industry
Oversee model validation, deployment, and lifecycle management, ensuring robust monitoring, explainability, and performance
Guide technical strategy, roadmap, and architectural decisions for the ML/AI function
Communicate findings, roadmaps, and performance results clearly to executives and non-technical partners
Other
Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus
Excellent communication skills and business acumen
Ability to mentor scientists and engineers
Work from office on designated days approximately 2-3 days per week (or more depending on role)
