Note: The job is a remote job and is open to candidates in USA. Gusto is on a mission to grow the small business economy by providing essential services like payroll and health insurance. They are seeking a Senior Staff AI/ML Engineer to design and build the AI platform that empowers internal teams to create intelligent agents and deliver customer value.
Responsibilities
- Design and build scalable platform services — agent orchestration, RAG pipelines, eval frameworks, model serving — that internal teams use to ship AI-powered products
- Lead technical strategy and architecture for the AI platform, including model lifecycle, observability, safety guardrails, and evaluation infrastructure
- Collaborate cross-functionally with app teams, PMs, and Designers to understand their AI needs and deliver platform capabilities that unblock them
- Build, harden, and operate shared infrastructure that powers intelligent agents across Gusto (e.g., retrieval, routing, prompt management, content selection)
- Stay current with AI/ML research; rapidly prototype and productionize new techniques that strengthen the platform
- Establish robust practices for validation, deployment, monitoring, and ongoing performance management of platform services and the agents built on them
- Communicate technical strategy, tradeoffs, and impact clearly to executives and non-technical partners
- Mentor engineers across teams, raising the bar on AI/ML best practices and fostering a culture of pragmatic innovation
Skills
- 12+ years building and deploying end-to-end AI/ML systems, with experience designing platform-level infrastructure that other engineering teams build on
- Deep expertise in one or more areas: LLMs, NLP, retrieval/RAG, agent orchestration, deep learning, or reinforcement learning
- Hands-on experience building LLM-based applications and agentic workflows — including prompt engineering, retrieval design, evaluation, and production deployment
- Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and cloud platforms (GCP, AWS, or Azure)
- Strong Python skills and sound software engineering fundamentals — testing, code review, CI/CD, reliability, and API design
- Proven track record shipping impactful AI/ML projects to production, ideally in a platform or infrastructure context
- Demonstrated ability to lead cross-functionally, influence technical direction, and communicate clearly with both engineers and non-technical stakeholders
- Ph.D. or Master's in CS, ML, Statistics, Mathematics, or related field is a plus
Benefits
- All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success.
- 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).
- When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.
- Gusto is proud to be an equal opportunity employer.
- 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.
- 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.
Company Overview
Company H1B Sponsorship