Jobs in the United States

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Added 1 min ago
Tech Accelerate Graduate Program - Software Engineer I
LexisNexis Risk Data Management, LLC Company
Alpharetta, GA
Learn more about the LexisNexis Risk team and how we work here Job Posting Title - Tech Accelerate Graduate Program - Software Engineer I
Added 3 mins ago
Hardware Engineer PhD Co-op - United States
Cisco
San Jose, CA
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions…
Added 3 mins ago
C
ASIC Power Design Engineer II (Full Time) - United States
Cisco
San Jose, CA
- Full-time
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions…
Added 3 mins ago
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Software Engineer Data & AI II (Full Time) – United States
Cisco
San Jose, CA
- Full-time
You are a passionate software engineer with expertise in developing scalable data pipelines, designing robust analytics platforms, and building infrastructure to support machine learning…
Added 4 mins ago
Photonic Design Engineer
PsiQuantum
Remote, United States
…integrate with existing cryogenic cooling and standard fiber-optic…
Added 6 mins ago
Presales Solution Engineer - Edge AI
HP
All Cities, CO · All Cities, IL
The Presales Solution Engineer – Edge AI is a customer-facing technical leader responsible for transforming Edge AI opportunities into measurable business outcomes and production-ready…
Added 7 mins ago
Senior Developer Experience Engineer-AI Infrastructure Operations
Nscale
NY
Nscale is the GPU cloud built for AI. We run high-performance, cost-efficient infrastructure for AI-native startups and global enterprises, from bare metal up through the platform services…
Added 7 mins ago
Software Engineer, Imaging
Anduril Industries
Waltham, MA
Experience with software infrastructure fundamentals including networking, security, and distributed systems
Added 7 mins ago
Senior Full-Stack Software Engineer (Arsenal 2)
Anduril Industries
Costa Mesa, CA
…stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible in real time, the manufacturing execution system (ArsenalOS) that…
Added 7 mins ago
Senior Backend Software Engineer (Arsenal2)
Anduril Industries
Costa Mesa, CA
…stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible in real time, the manufacturing execution system (ArsenalOS) that…
Added 7 mins ago
Software Engineer III - Data Engineering | Infrastructure Platforms
JPMC page
Jersey City, NJ · Plano, TX
As a Software Engineer III at JPMorganChase within the Infrastructure Platforms organization, you serve as a seasoned member of an agile team to design and deliver trusted market-leading…
Added 8 mins ago
Data Engineer, Advertising Demand Enablement & Product Ops (DEPO)
Amazon.com Services LLC
New York, NY · Seattle, WA
Are you passionate about building data infrastructure that delivers real business value at massive scale? As a Data Engineer at Amazon, you will design, build, and optimize data pipelines…
Added 8 mins ago
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Senior System Engineer
Kforce
Draper, UT
- $110,000 to $150,000 USD / year
We are seeking an experienced Senior Systems Engineer to help build, improve, and support critical infrastructure spanning both corporate IT and operational technology environments. This…
Added 8 mins ago
Senior DevOps Engineer
Peraton
Remote, United States
The Senior DevOps Engineer designs, automates, secures, and supports AWS cloud infrastructure and software delivery pipelines for a mission-critical application supporting the Department of…
Added 10 mins ago
Staff Engineer Software (Cortex Platform) - US Citizen
Palo Alto Networks, Inc.
CA
We are seeking a Staff Software Engineer to join our Cortex backend engineering group. In this role, you will be pivotal in developing, innovating, and scaling the Cortex Platform,…
Added 10 mins ago
Domain Consultant - Public Sector
Palo Alto Networks, Inc.
United States
…be able to design an optimal solution for complex customer infrastructure and datacenter environments on a global…
Added 10 mins ago
Facilities Engineer
Bloom Energy
Newark, DE
We are looking for a Facilities Engineer to join our team in one of today’s most exciting technologies. This role will be based in Newark, Delaware. This is a fully on-site, in office role…
Added 12 mins ago
Staff Software Engineer - Developer Experience
Addepar
Remote, United States
We are seeking a highly proactive Staff Software Engineer to drive the architecture of our next-generation validation guardrails and spearhead our AI-native developer experience across the…
Added 13 mins ago
Software Engineer II, Backend
Toast
Remote, United States
Fintech at Toast operates one of the most critical portions of the Toast infrastructure: processing payments on behalf of our restaurants and ensuring that restaurants are paid in a timely…
Added 17 mins ago
AI/ML engineer II
Blue Origin Personnel, LLC
Cupertino, CA
…the engineers who run our systems. We're looking for an AI/ML Engineer to design, build, and operate agentic workflows that detect incidents, investigate root causes, and guide engineers to…
Added 17 mins ago
Launch and Test Engineer III (Avionics)
Blue Origin Personnel, LLC
Space Coast, FL
The Test and Launch Engineer will drive rate and reliability for New Glenn's critical launch infrastructure – including our massive Transporter/Erector, LC-36 Launch Pad, Mobile Test Stand,…
Added 17 mins ago
Test Engineer II | Launch Ops (Mechanical/Fluids)
Blue Origin Personnel, LLC
Space Coast, FL
The Test and Launch Engineer will drive rate and reliability for New Glenn's critical launch infrastructure. You'll join a team that doesn't just maintain these systems but continuously…
Added 17 mins ago
SDE III for Manufacturing Systems
Blue Origin Personnel, LLC
United States
We are looking for a Software Development Engineer (preferably with prior MES experience) who will own the backend infrastructure and ongoing management of internally built applications. In…
Added 17 mins ago
Senior Platform Engineer (Infrastructure)
Fleetio
Remote, United States
Our ideal candidate is an Infrastructure Engineer experienced in scaling Ruby on Rails applications, with a passion for optimization and performance improvements. You bring a strong…
Added 19 mins ago
Senior Full Stack Engineer (Agentic Search) - Platform
Nebius
New York City, NY
We are looking for a Senior Full Stack Engineer to build how developers and AI agents access our agentic web infrastructure. This role is based in our New York office, hybrid with the NYC…

Rippling

Senior Machine Learning Engineer - AI Cloud

Seattle, WA, United States
San Francisco, CA, 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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