Job Details

Job Title: Machine Learning Engineer (Growth)

Employer: Gusto

Overview

Gusto is a modern, online people platform that helps small businesses take care of their teams. Gusto offers full-service payroll, health insurance, 401(k)s, expert HR, and team management tools. Gusto operates offices in Denver, San Francisco, and New York, serving more than 400,000 businesses nationwide. Our mission is to create a world where work empowers a better life, and we're committed to a collaborative and inclusive workplace, both physically and virtually.

For this role, we are looking for a technical leader (individual contributor) to drive customer-facing upsell motions and to enhance a model-driven recommendation platform that personalizes content and interactions for our customers.

Responsibilities

• Build and deploy models and data products to support internal decision-making, delight customers, and enhance AI solutions.
• Drive research, gather requirements from stakeholders, develop models, deploy with engineering, and monitor performance over time.
• Partner with Engineering, Design, Product, Sales, and Customer Success to solve cross-functional problems.
• Envision and contribute to a robust ML/AI-focused code base and integrate best practices into day-to-day operations.
• Learn and iterate to test opportunities that improve customer experiences and internal optimization frameworks.
• Share knowledge, mentor others, and explore new ways to drive impact within and outside of Gusto.

Qualifications

• 7+ years of experience building sophisticated and scaled data products with deep ML knowledge. This could be an MS/PhD in a quantitative field with at least 4 years in a business setting, or a BS/Data Science Bootcamp graduate with at least 7 years in a business setting.
• Experience developing and deploying modeling solutions in production using Python, including propensity scoring, recommendation engines, and forecasting. Growth-oriented product development experience is a plus.
• Strong programming skills across the ML lifecycle, from analysis and prototyping to monitoring and retraining.
• Excellent communication skills to convey findings to non-technical stakeholders.
• PhD or Masters in a quantitative field is a plus.
• Experience leveraging customer feedback, chat transcripts, and LLMs as inputs and outputs is a plus.

Compensation

Cash compensation for this role is targeted at:

• $165–$205k in Denver
• $200–$250k in San Francisco, New York, and Seattle
• $185k–$225k CAD in Toronto

Final offer amounts depend on candidate experience and may vary from the ranges listed above.

Location and Office Expectations

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees based in these locations are expected to work from the office 2–3 days per week (or more depending on role). The same office expectations apply to Symmetry, Gusto's subsidiary. Note: San Francisco office coverage includes the San Francisco and San Jose metro areas. For roles approved to work remotely, a secure, reliable internet connection is required.

Equity, Inclusion, and Privacy

Gusto is an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, veteran status, gender identity or expression, sexual orientation, or other legally protected characteristics. We consider qualified applicants with criminal histories in accordance with applicable laws. We provide reasonable accommodations during the application process and throughout employment. For privacy, please review our Applicant Privacy Notice and Fraudulent Activity Disclaimer.

Personal information collected during the application process will be subject to Gusto's Applicant Privacy Notice.