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Jobs · Project Management · New York

Staff Machine Learning Engineer - AI Cloud

Rippling · New York, NY · 6 days ago
On-siteProject ManagementFull-time

Overview

Ripping provides a unified platform for businesses to manage HR, IT, and Finance operations. It consolidates various workforce systems such as payroll, expenses, benefits, and IT resources into a single system.

Responsibilities

  • Manage and automate the entire employee lifecycle, including onboarding, payroll setup, corporate card management, computer allocation, benefits enrollment, and integration with third-party applications like Slack and Microsoft 365.
  • Design and implement novel machine learning architectures tailored to Rippling's enterprise domain, focusing on areas like fine-tuned language models, retrieval augmented generation, reward models, and multi-agent orchestration.
  • Develop robust evaluation and experimentation infrastructure, including offline benchmarks, A/B testing, and continuous monitoring of model quality.
  • Create training pipelines and data flywheels that leverage Rippling's structured data graph to support model development and improvement.
  • Lead research-to-production efforts, identifying where advanced techniques like reinforcement learning with human feedback (RLHF), distillation, structured decoding, and tool-use training can yield significant improvements.
  • Design and implement self-improving systems using feedback loops, active learning, and automated retraining pipelines.
  • Collaborate closely with Product and Platform teams to ensure alignment and successful implementation of ML initiatives.
  • Mentor engineers across the organization on best practices in machine learning.
  • Stay updated with the latest advancements in machine learning research and apply them to production systems.

Requirements

  • 8+ years of software engineering experience with 5+ years focused on machine learning, shipping ML systems to production at scale.
  • Deep expertise in modern machine learning, including LLMs, transformer architectures, fine-tuning, RLHF, and RAG.
  • Strong fundamentals in classical machine learning 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.
  • 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

Equal opportunity employer. Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process.

The role offers 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.

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.

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.

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