Jobs in the United States

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Added 33 mins ago
Hardware Systems Engineer, Hardware Tools / Firmware
Cloudflare
Austin, TX
…powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance…
Added 33 mins ago
Hardware Systems Engineer - AI Hardware
Cloudflare
Austin, TX
We need to make thoughtful infrastructure choices affecting a significant portion of the Internet. Hardware we work with includes GPUs, servers and components, as well as PDUs and network…
Added 37 mins ago
Senior Software Engineer - Agile Product Owner (Onsite)
RTX
United States
Senior Software Engineer - Agile Product Owner - Flight & Mission Simulation (Onsite)
Added 54 mins ago
Senior Tech Delivery Lead Open Text
Sysco Payroll, Division of Sysco Resources Services, LLC
United States
May sometimes provide hands-on assistance with exceptionally complex technical solutions, operating as a senior engineer
Added 1 hour ago
Senior Software Engineer - AI Agents
JeffreyM Consulting
San Francisco, CA
This is an opportunity to join a highly technical, entrepreneurial team and work directly with the CTO to build the core infrastructure powering intelligent, autonomous software agents.
Added 1 hour ago
Professional Services Engineer - Federal
Hammerspace
Remote, United States
The Hammerspace Data System combines high-performance parallel storage, intelligent data management, and automated data orchestration to eliminate data silos and unlock the full potential…
Added 1 hour ago
Software Dev Engineer I, Security Platform
Twitch Interactive, Inc.
Seattle, WA · Irvine, CA · San Francisco, CA
This role is ideal for an engineer who learns quickly, values operational excellence, and wants to see their work directly improve Twitch's security posture.
Added 1 hour ago
Intelligent Automation Engineer
BrightSpring Health Services
LOUISVILLE, KY
We’re seeking an Intelligent Automation Engineer with strong hands-on expertise in UiPath, Microsoft Power Platform, Power BI, Copilot Studio, and Agentic AI. This role will design scalable…
Added 1 hour ago
Lead Product Architect
Wolters Kluwer DXG U.S., Inc.
Coppell, TX
This individual will partner closely with Product Management, Engineering Leadership, UX, Security, DevOps, Data, and Business stakeholders to deliver scalable, secure, resilient, and…
Added 2 hours ago
Senior Software Engineer - Lab Automation
Genentech, Inc.
United States
…laboratories for lights-out drug discovery. Advances in AI, data, and computational sciences are transforming drug discovery and development. The Computational Sciences Center of Excellence…
Added 2 hours ago
UG
Lead AI/ML Engineer in Minneapolis, MN or Chicago, IL
UnitedHealth Group
Minneapolis, MN · Chicago, IL
- $145,500 to $249,500 USD / year
…engineering standards, and deployment of machine learning models, intelligent services, and automation frameworks into core platform operations. Working at the intersection of cloud…
Added 2 hours ago
Network Engineer
MicroVision
Orlando, FL
MicroVision in Orlando, Florida seeks an experienced Network Engineer for our global IT team to design, manage, and optimize our enterprise network infrastructure, ensuring a secure,…
Added 2 hours ago
R
Full Stack AI Engineer
Reveleer
Remote, United States
- $175,000 to $200,000 USD / year
…quality improvement, and member management solutions into one intelligent, AI-powered system, Reveleer streamlines fragmented workflows to supercharge productivity, enhance care quality,…
Added 2 hours ago
Software Development Engineer II, Robotics Development and Packaging Innovation
Amazon.com Services LLC
Bellevue, WA
As a Software Development Engineer on our team, you'll focus on building intelligent packaging deterministic workflows and large-scale platforms that power our packaging operations…
Added 3 hours ago
UG
Lead AI/ML Engineer in Minneapolis, MN or Chicago, IL
UnitedHealth Group
Minneapolis, MN · Chicago, IL
- $145,500 to $249,500 USD / year
…engineering standards, and deployment of machine learning models, intelligent services, and automation frameworks into core platform operations. Working at the intersection of cloud…
Added 3 hours ago
Senior AI/ML Engineer | Data Science
Kelly Services
Remote, United States
We are seeking a Senior AI/ML Engineer to join a growing AI and machine learning team focused on developing next-generation predictive analytics, intelligent automation, and generative AI…
Added 3 hours ago
Director, Financial Systems & Transformation
ByrdGroup
NY
…well beyond traditional ERP administration into agentic AI infrastructure, process automation, and the controls architecture that will underpin Flex’s next phase of…
Added 3 hours ago
Early Career Civil Engineering (Overhead Transmission Lines)
WSP
Indian Land, SC · Charlotte, NC · Fort Mill, SC
WSP is currently initiating a search for an Early Career Civil Engineer (Overhead Transmission Lines) for our Charlotte, NC office. The following locations will also be considered: Ft Mill,…
Added 3 hours ago
E2E Network Test Engineer
Infosys
United States
…through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our…
Added 3 hours ago
E2E Network Test Engineer
Infosys
United States
…through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our…
Added 3 hours ago
E2E Network Test Engineer
Infosys
United States
…through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our…
Added 3 hours ago
E2E Network Test Engineer
Infosys
United States
…through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our…
Added 3 hours ago
Senior Software Engineer (Full-Stack / AI-Native)
Zinda Law Group, PLLC
Remote, United States
Our mission is to transform how law firms operate by replacing inefficient, manual processes with intelligent, automated workflows.
Added 4 hours ago
Site Reliability Engineer
Quarterhill
UNAVAILABLE
Quarterhill is seeking a Senior Site Reliability Engineer (SRE) to join our growing team. This role is an exciting opportunity to contribute to the reliability and performance of smart…
Added 4 hours ago
D
Senior Principal Full Stack Engineer
DigiCert
Sterling, VA
- $179,000 to $215,000 USD / year
Participate in system architecture, service design, and data modeling to ensure scalability, reliability, and performance (15%).

Rippling

Senior Machine Learning Engineer - AI Cloud

San Francisco, CA, United States
Seattle, WA, United States
New York, NY, United States

$172,800 to $288,000 USD / year

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Job details

Pay: $172,800 to $288,000 USD / year
Experience: 5+ years of software engineering experience, including 3+ years focused on ML, with experience shipping and operating ML systems in production.
Posting language: English
Posted: Nov 3, 2026

Original job description

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365 - all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors - including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock - and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About the role 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.

The opportunity is to push the boundaries of what machine learning can do in the enterprise through purpose-built ML systems that learn from Rippling's proprietary data graph to deliver compounding intelligence across every product surface. You will be joining the team that recently launched Rippling AI, the fastest-growing product in Rippling's history. The models and ML systems you build will be the intelligence powering every AI surface at Rippling.

As a Senior Machine Learning Engineer, you will own the end-to-end ML lifecycle for projects within the AI Cloud team: problem formulation, data preparation, model development, evaluation, and production deployment. You will partner with Staff engineers and cross-functional teammates to make Rippling's agents reliable, accurate, and continuously improving. This is a deeply hands-on role, with opportunities to lead project-level technical decisions and contribute to the team's broader ML direction.

What you will do

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 - tailored to Rippling's enterprise domain.
Build robust evaluation and experimentation capabilities: offline benchmarks, A/B testing, and continuous monitoring of model quality.
Develop training pipelines and data flywheels that leverage Rippling's structured data graph.
Take ML techniques from research to production: evaluate where RLHF, distillation, structured decoding, and tool-use training can improve model quality, reliability, and efficiency.
Build and improve feedback loops, active learning workflows, and automated retraining pipelines.
Partner closely with Product and Platform teams to translate requirements into reliable ML systems and deliver measurable product improvements.
Contribute to design and code reviews, share ML best practices, and mentor engineers within the team.
Stay current with ML research and apply relevant advances to production systems.

What you will need

5+ years of software engineering experience, including 3+ years focused on ML, with experience shipping and operating ML systems in production.
Strong practical experience with modern ML, including LLMs, transformer architectures, fine-tuning, and RAG; familiarity with RLHF or related model-alignment techniques.
Strong fundamentals in classical ML and statistics.
Hands-on proficiency with ML frameworks such as PyTorch or JAX and production ML infrastructure.
Experience building evaluation systems for generative AI.
Demonstrated ability to independently deliver complex ML projects, make sound technical tradeoffs, and collaborate across functions.
Strong product instincts and an ability to connect model improvements to customer outcomes.
Clear, precise communication to diverse audiences.
Comfort with ambiguity and high velocity.
Publications in top ML venues (NeurIPS, ICML, ACL, EMNLP) are a plus.
Experience with enterprise data or knowledge graphs is a plus.

Additional Information Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is 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.

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.

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More about this job

Skills

Machine learning
ML
Research
Statistics
PyTorch
Grading systems
Communication skills

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