15 hours ago
Base Salary
$173k - $288k/yr
Responsibilities
- Own the end-to-end machine learning lifecycle for high-impact AI projects from problem definition through production deployment and iteration.
- Design and implement ML systems including fine-tuned LLMs, RAG, reward models, and multi-agent orchestration.
- Build evaluation and experimentation capabilities such as offline benchmarks, A/B testing, and continuous model-quality monitoring.
- Develop training pipelines, data flywheels, feedback loops, active learning workflows, and automated retraining pipelines.
- Evaluate and apply RLHF, distillation, structured decoding, and tool-use training to improve model quality, reliability, and efficiency.
- Partner with Product and Platform teams to deliver reliable ML systems and measurable product improvements.
- Contribute to technical design and code reviews, share ML best practices, mentor engineers, and apply relevant ML research to production systems.
Requirements
- 5+ years of software engineering experience, including 3+ years focused on machine learning, with experience shipping and operating ML systems in production.
- Strong practical experience with LLMs, transformer architectures, fine-tuning, RAG, and RLHF or related model-alignment techniques.
- Strong fundamentals in classical machine learning and statistics.
- Hands-on proficiency with ML frameworks such as PyTorch or JAX and production ML infrastructure.
- Experience building evaluation systems for generative AI.
- Ability to independently deliver complex ML projects, make technical tradeoffs, collaborate across functions, and connect model improvements to customer outcomes.
- Clear communication, comfort with ambiguity, and ability to work in a high-velocity environment.
- Publications in NeurIPS, ICML, ACL, or EMNLP and experience with enterprise data or knowledge graphs are preferred.
Benefits
- Competitive salary, benefits, and equity are offered.
- Office-based employees within a defined radius of a Rippling office are currently expected to work in the office at least three days per week.
- Rippling provides reasonable accommodations during the hiring process and is an equal opportunity employer.
Tech Stack
Categories
About Rippling
Rippling builds a unified workforce management platform that combines HR, payroll, IT, and finance software for businesses on a single system. Its SaaS suite covers onboarding, payroll, time tracking, benefits, device and identity management, spend/expenses, and accounting integrations with ERPs like NetSuite, QuickBooks, Microsoft Dynamics 365, and Oracle. Founded in 2016 and headquartered in San Francisco, Rippling is privately held and serves companies from startups to large enterprises.