Software Engineer, Gusto
ML Platform
$160-240k
+ RSUs. Salary dependent on location
2-3 days a week in office
Automated payroll, benefits & HR platform
Posted today
Automated payroll, benefits & HR platform
1001+ employees
Posted today
$160-240k
+ RSUs. Salary dependent on location
2-3 days a week in office
1001+ employees
Company mission
To grow the small business economy.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
For many small businesses, vital administrative tasks such as payroll, taxes, and benefits are manual tasks that take time and energy - which many SMB owners don’t have. The co-founders of Gusto all come from small business backgrounds, which is why they created a platform that would handle employee payments, benefits administration, and compliance support specifically for small businesses.
The company may have started slowly, as the founders focused on nailing each individual aspect of Gusto’s operations, but has now skyrocketed to unicorn status with more than 400,000 customers and a multi-billion dollar valuation. And in 2021, Gusto began acquiring other companies to strengthen its offering and position in a competitive market, including the likes of Ardius, Symmetry and Guideline.
Through its continued acquisitions and fundraising efforts, the company has carved out a strong position for itself in the space. It continues to expand its platform, for example by partnering with Parafin to launch a payroll line of credit for small businesses, and more recently launching Cofounder, an AI teammate tailored to the needs of small businesses.
Steph
Company Specialist at Welcome to the Jungle
Insights
45% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
May 2022
$55m
SERIES E
Aug 2021
$175m
SERIES E
Total funding: $706.3m
Company benefits
- Medical, dental, and vision insurance for employees and dependents
- Family care and support, including family planning and fertility benefits
- Gender-affirming care and support
- A variety of mental health resources
- Paid vacation, sick time, bereavement, and holidays, paid leaves, sabbatical, and more
- Free meals and refreshments at the office (conversation and community is an added bonus!)
Company HQ
Central Waterfront, San Francisco, CA
Leadership
Joshua Reeves
(CEO & Co-Founder)Studied Electrical Engineering at Stanford and went onto co-found Gusto in 2011.
Tomer London
(CPO & Co-Founder)Has a PhD in Electrical Engineering from Stanford. Was a Researcher at Intel, and then interned at Bump Technologies. Co-founded Vizmo before co-founding Gusto in 2011.
Edward Kim
(Head of Technology & Co-Founder)Studied Electrical Engineering at Stanford. Was Senior Project Engineer at Volkswagen of America Electronics Research Lab and then co-founded Picwing before co-founding Gusto in 2011.
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