Staff Machine Learning Engineer - AI Cloud
Overview
Ripping gives businesses one place to manage HR, IT, and Finance. It consolidates various workforce systems such as payroll, expenses, benefits, and computers into a single system.
About the Role
Join Rippling, a company headquartered in San Francisco, CA, that has raised over $1.4 billion from top investors including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock. Named one of America's best startup employers by Forbes, Rippling prioritizes candidate safety and builds an autonomous operating system for work through advanced AI.
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.
At Rippling, we are not just building AI features, we are building an autonomous operating system for work. We are investing heavily in the next generation of enterprise AI: intelligent background automation, systems that monitor and improve themselves, and a custom intelligence layer built on Rippling's unique data and workflows.
Skills
- Ownership of the end-to-end machine learning lifecycle
- Design and implementation of novel ML architectures
- Building robust evaluation and experimentation infrastructure
- Development of training pipelines and data flywheels
- Leading research-to-production efforts
- Designing self-improving systems
- Collaboration with Product and Platform teams
- Mentoring engineers on ML best practices
- Tracking the frontier of ML research
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
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.