Join Gusto as a Software Engineer to build and scale their ML and AI platform, collaborating with AI/ML engineers.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 22 hours ago
AI in the day-to-day
AI is a fundamental part of how work gets done at Gusto; team members are expected to engage with AI tools relevant to their role.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer for the ML Platform at Gusto focuses on building and scaling machine learning infrastructure, collaborating closely with AI/ML engineers to create reliable and effective solutions. Proficiency in Python, Ruby, or Java, along with experience in developing MLOps frameworks and cloud platforms, is essential. This position is well-suited for seasoned engineers with a strong background in machine learning and a passion for optimizing processes. Gusto emphasizes the integration of AI tools into everyday workflows, reflecting its commitment to innovation in supporting small businesses.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 11, 2026. Last confirmed on Gusto's careers page October 9, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
- Starts above 21% of 206 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
- Python appears in 52.8% of 551 comparable senior ai/ml roles in United States; Ruby appears in 0.7% of 551 comparable senior ai/ml roles in United States.
Quick facts
- Is the Software Engineer, ML Platform role remote?
- It's hybrid — Gusto expects some on-site time in Denver, CO - Hybrid; New York, NY - Hybrid; San Francisco, CA - Hybrid.
- What's the salary range?
- Gusto lists $160,000–$200,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Software Engineer, ML Platform role.
- Where is the role based?
- Gusto is hiring for this position in Denver, CO - Hybrid; New York, NY - Hybrid; San Francisco, CA - Hybrid.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Java, Python, Ruby.
- What seniority level is this role?
- Gusto targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer, ML Platform role at Gusto.
From the original posting
About Gusto
About the Role:
Gusto is looking for a strong Machine Learning Platform and Infrastructure Engineer to join our ML Platform team and build out and scale our ML and AI platform.
As a Machine Learning Platform Engineer, you will work closely with AI/ML engineers to rapidly build, deploy, and iterate high-quality ML/AI infrastructure solutions at scale, ensuring both reliability and effectiveness. Your deep expertise in the machine learning model development cycle, along with a strong understanding of data pipelines and data infrastructure will be crucial in developing a dependable and scalable ML/AI infrastructure for all of Gusto to rely on.
The ideal candidate is passionate about developing software, developing and documenting optimal processes, working with data, and understanding the needs of end users. A strong grasp of ML and data infrastructure is essential, as you will work with stakeholders to build efficient solutions to help our partners scale x times better.
Here’s what you’ll do day-to-day:
- Build core components of our ML and AI Platform technical roadmap to design and build MLOps solutions with automated pipelines and standardized processes to build, deploy, run, monitor, debug, and retrain ML and AI Models.
- Develop, maintain, and enhance frameworks for machine learning model development and deployment.
- Collaborate with the ML/AI builders and application owners to determine business requirements and SLAs for API-enabled services.
- Develop, maintain, and enhance infrastructure supporting machine learning services.
- Support the development of new patterns for the deployment of machine learning models with CI/CD pipelines and automated testing.
- Apply AI tools as a regular part of your engineering workflow, and bring an AI-native lens to engineering and product decisions: identify where AI can reduce effort, simplify complex workflows, and surface proactive guidance.
- Adopt the latest best practices for using AI technologies across all aspects of technical development
Here’s what we're looking for:
- At least 5+ years of software engineering experience (Python, Ruby or Java).
- Demonstrated experience designing and developing infrastructure and platform services for machine learning lifecycle, such as feature stores, model development, deployment, and observability tools and solutions.
- Experience with at least one of the major cloud platforms (AWS preferred but not required).
- Curiosity and experimentation with emerging AI frameworks, applying and sharing best practices to evaluate and scale AI use safely across teams
- Comfort with AI-assisted development tools and a habit of staying current with emerging approaches to building software.
Our cash compensation amount for this role is targeted at $160,000-$200,000/year in Denver, and $190,000- $240,000/ year for San Francisco and New York. 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.
Standard company text repeated across Gusto's postings is omitted here.