Staff Machine Learning Engineer - AI Cloud
Overview
Ripping provides a unified platform for managing HR, IT, and Finance operations, bringing together various workforce systems into a single system.
About the Role
Join Rippling, a company headquartered in San Francisco, CA, that has raised over $1.4 billion from leading investors and was named one of America's best startup employers by Forbes. As a Staff Machine Learning Engineer, you will be responsible for the entire machine learning lifecycle, including problem formulation, data strategy, model development, evaluation, and production deployment.
Responsibilities
- Own the end-to-end machine learning lifecycle for high-impact AI initiatives
- Design and implement novel ML architectures tailored to Rippling's enterprise domain
- Build robust evaluation and experimentation infrastructure
- Develop training pipelines and data flywheels leveraging Rippling's structured data graph
- Lead research-to-production efforts
- Design self-improving systems
- Partner closely with Product and Platform teams
- Mentor engineers across the org on ML best practices
- Track the frontier of ML research and translate breakthroughs into production systems
Requirements
- 8+ years of software engineering experience with 5+ years focused on ML, shipping ML systems to production at scale
- Deep expertise in modern ML: LLMs, transformer architectures, fine-tuning, RLHF, RAG
- Strong fundamentals in classical ML and statistics
- Hands-on proficiency with ML frameworks (PyTorch, JAX) and production ML infrastructure
- Experience building evaluation systems for generative AI
- Proven ability to lead complex, cross-functional technical initiatives
- Strong product instincts
- Clear, precise communication to diverse audiences
- Comfort with ambiguity and high velocity
Qualifications
- Publishations in top ML venues (NeurIPS, ICML, ACL, EMNLP) are a plus
- Experience with enterprise data or knowledge graphs is a plus
Benefits
We prioritize candidate safety. All official communication will only be sent from @Ripping.com addresses.
We are committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@rippling.com.
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
Pay
The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
- 198,000 - 330,000 USD per year (US San Francisco Bay Area)
- 198,000 - 330,000 USD per year (US Tier 1)
Schedule
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
The pay range for this role is:
- 198,000 - 330,000 USD per year (US San Francisco Bay Area)
- 198,000 - 330,000 USD per year (US Tier 1)
Engineering
San Francisco, CA
Application Instructions
To apply, please visit our careers page and submit your resume and cover letter.