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Staff Applied AI/ML Engineer
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Join to apply for the Staff Applied AI/ML Engineer - Growth role at GustoAbout GustoGusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 400,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. We’re committed to building a collaborative and inclusive workplace, both physically and virtually.About The RoleGusto’s Data Science team leverages Gusto’s rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive our customer facing upsell motions. You will improve a model-driven recommendation platform to better understand our customers, build lead scoring to drive Sales outreach, and predict and experiment against customer preferences in terms of communication timing and content. Overall you will be improving the long-term value that a customer gets from Gusto by ensuring that they use the products that are most relevant to their business needs and growth. You’ll be working with a strong AI/ML team and seasoned Growth 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 Growth Stack using machine learning and AI to personalize world class content for our customers and provide timely relevant product recommendations.Here’s What You’ll Do Day-to-dayDesign and develop scalable, production-grade AI and machine learning models for solving 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, evaluation, 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.Here’s What We're Looking For7+ years’ hands-on experience building and deploying end-to-end ML/AI systems in industry or academia.Deep expertise in one or more advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, LLMs, RAG, etc.).Proven track record of delivering large, impactful ML/AI projects into production environments.Proficient in modern ML frameworks (TensorFlow, PyTorch, HuggingFace, 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).Demonstrated leadership in cross-disciplinary teams and ability to mentor scientists and engineers.Excellent communication skills and business acumen.Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field is a plus.Preferred, But Not RequiredHands-on experience building LLM-based applications and agentic AI workflows.Experience developing and deploying modeling solutions such as propensity scoring, recommendation engines, and forecasting. A background in growth-oriented product development will accelerate the impact you can generate.Our cash compensation amount for this role is targeted at $165-205k in Denver, $200-250k for San Francisco, New York, and Seattle, and $185k-225k CAD for Toronto. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.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, Gusto's 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.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 it’s 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. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form 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 Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.Seniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Software Development #J-18808-Ljbffr
