Senior Staff Machine Learning Engineer, Gusto
Applied AI/ML
$200-290k
Salary dependent on location. 220k-270k CAD for Toronto
Automated payroll, benefits & HR platform
Open for applications
Automated payroll, benefits & HR platform
1001+ employees
Open for applications
$200-290k
Salary dependent on location. 220k-270k CAD for Toronto
1001+ employees
Company mission
To create a world where work empowers a better life.
Role
Who you are
- 8+ years’ hands-on experience building and deploying end-to-end ML/AI systems in industry or academia
- Deep expertise in advanced ML methods (supervised, unsupervised, reinforcement learning, deep learning, NLP, etc.)
- Proven track record of delivering large, impactful ML projects into production environments
- Proficient in modern ML frameworks (TensorFlow, PyTorch, 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
What the job involves
- 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
- Design and develop scalable, production-grade AI and machine learning models for 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, 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
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 three co-founders of Gusto – all coming from small business backgrounds – collaborated on a Fintech company 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 200,000 customers and a multi-billion dollar valuation. In 2021, Gusto began acquiring other companies to strengthen its offering and its position in a competitive market, including two other fintech startups, Ardius and Symmetry.
Through its continued acquisitions and fundraising efforts, the company has carved out a strong position for itself in the space. Although Gusto has found itself impacted by the macroeconomic situation, through the significant effect it has had on its clientele, the company still appears positive for the future after raising funds in 2023 that will see it reach key profitability benchmarks. It continues to consolidate its platform, for example by integrating with OpenComp to grant its users access to the company's Compensation Intelligence Platform.
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
- Comprehensive medical, dental, and vision benefits, plus a variety of mental health resources
- Flexible vacation - Gusties are encouraged to take the time off they need to continue doing great work
- Fertility treatments, parental leave, pregnancy termination, caregiving, gender-affirming surgery, hormone treatments, transgender-inclusive services, and more
- If you work at one of our homebases, enjoy food, drinks, and good conversation — on us
- Celebrate 5 or 10 years at Gusto and take a month off to recharge
- Take advantage of internet, phone, commuter, and wellness stipends each month, along with a WFH stipend and cash for anniversaries
Company HQ
Central Waterfront, San Francisco, CA
Leadership
Joshua Reeves
(CEO)Studied Electrical Engineering at Stanford and went onto co-found Gusto in 2011.
Tomer London
(CPO)Has a PhD in Electrical Engineering from Stanford. Was a Researcher at Intel, and then interned at Bump Technologies. Co-founded Vizmo, a mobile self-service technologies company, in 2008. Co-founded Gusto in 2011.
Edward Kim
(Head of Engineering)Studied Electrical Engineering at Stanford. Was Senior Project Engineer at Volkswagen of America Electronics Research Lab and then co-founded Picwing, a printed photos company, in 2008. Co-founded Gusto in 2011.
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