<div>  <hr /> About Gusto At Gusto, were on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our <a href="https://gusto.com/about/careers/total-rewards">Total Rewards philosophy</a>. </div>About the Role: Gusto’s Data team leverages Gusto’s rich dataset to guide product direction and decision-making by building the right AI/ML solutions at scale.  For this role, we are looking for a technical leader (an individual contributor) to drive the scale and optimization of our customer experience and customer journey via building AI and ML enabled experiences and services. In this role you will build and optimize AI/ML solutions and infrastructure that power our customer journey related products.  You’ll be working with a strong AI/ML team and seasoned leaders in Engineering, Product, Design, Data Science, Marketing, and Sales. In this role, you’ll work cross functionally to build Platforms that span the entire breadth of the unified service platform stack using machine learning and AI to personalize world class content for our customers and enhance customer experience. Here’s what you’ll do day-to-day: <ul> <li>Design and develop scalable, production-grade AI and machine learning models for solving complex business problems.</li> <li>Lead and mentor teams of ML engineers, fostering a culture of technical excellence and innovation.</li> <li>Collaborate cross-functionally with product, engineering, and business stakeholders to identify AI opportunities and translate them into actionable solutions.</li> <li>Stay current with latest AI research; prototype and implement new algorithms and advancements from academia and industry.</li> <li>Oversee model validation, deployment, evaluation, and lifecycle management, ensuring robust monitoring, explainability, and performance.</li> <li>Guide technical strategy, roadmap, and architectural decisions for the ML/AI function.</li> <li>Communicate findings, roadmaps, and performance results clearly to executives and non-technical partners.</li> </ul> Here’s what were looking for: <ul> <li>8+ years’ hands-on experience building and deploying end-to-end ML/AI systems in industry or academia.</li> <li>Deep expertise in one or more advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, LLMs, RAG, etc.).</li> <li>Proven track record of delivering large, impactful ML/AI projects into production environments.</li> <li>Proficient in modern ML frameworks (TensorFlow, PyTorch, HuggingFace, etc.) and cloud computing platforms (AWS, GCP, or Azure).</li> <li>Strong programming skills in Python and familiarity with best engineering practices (CI/CD, testing, code review).</li> <li>Demonstrated leadership in cross-disciplinary teams and ability to mentor scientists and engineers.</li> <li>Excellent communication skills and business acumen.</li> <li>Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus.</li> </ul> Our cash compensation amount for this role is targeted at $255k-320k for San Francisco, New York, and Seattle $235k - 295k in Los Angeles, $215k-270k in Denver, and 225k-285k CAD for Toronto. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.<div><hr /> Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gustos subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.  When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. <hr /> Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because its the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.  Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out <a href="https://docs.google.com/forms/d/e/1FAIpQLSdEfl7Bp-Twz7LLlhGlha46CrxZ9Kacgakmarf3K2TbnaEgKQ/viewform">this form</a> and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our <a href="https://gusto.com/about/careers/fraudulent-activity-disclaimer">Fraudulent Activity Disclaimer</a>. Personal information collected and processed as part of your Gusto application will be subject to <a href="https://gusto.com/about/careers/applicant-privacy-notice" target="_blank">Gustos Applicant Privacy Notice</a>.</div>