About Gusto
Gusto 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. That’s why we’re committed to building a
collaborative and inclusive workplace, both physically and virtually. Learn more
about our Total Rewards philosophy
[https://gusto.com/about/careers/total-rewards].
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:
- Design and develop scalable, production-grade AI and machine learning models
for solving complex business problems.
- Lead and mentor teams of ML 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 for:
- 8+ 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.
Our cash compensation amount for this role is targeted at $200k-245k in Denver,
and $255k-305k for San Francisco, New York, and Seattle and 220k-270k 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. 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 this form
[https://docs.google.com/forms/d/e/1FAIpQLSdEfl7Bp-Twz7LLlhGlha46CrxZ9Kacgakmarf3K2TbnaEgKQ/viewform]
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
[https://gusto.com/about/careers/fraudulent-activity-disclaimer].
Personal information collected and processed as part of your Gusto application
will be subject to Gusto's Applicant Privacy Notice
[https://gusto.com/about/careers/applicant-privacy-notice].
