Staff Machine Learning Engineer - Applied AI/ML
Staff Machine Learning Engineer - Applied AI/ML
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Job Description
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 400000 businesses nationwide.
Our mission is to create a world where work empowers a better life and it starts right here at Gusto. Thats why were committed to building a collaborative and inclusive workplace both physically and virtually. Learn more about our Total Rewards philosophy.
About the Role:
Gustos Data team leverages Gustos 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 this role you will build and optimize AI/ML solutions and infrastructure that power our customer journey related products.
Youll be working with a strong AI/ML team and seasoned leaders in Engineering Product Design Data Science Marketing and this role youll 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.
Heres what youll do day-to-day:
- 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.
Heres what were looking for:
- 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 Masters 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 $240k-290k 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 Gustos 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.
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 its 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 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.
Personal information collected and processed as part of your Gusto application will be subject toGustos Applicant Privacy Notice.
Required Experience:
Staff IC
Employment Type
Full-Time
