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Crash Simulation Engineer
Insight Global
Cambridge, MA
- From $80 USD / hour
Hands-on experience building, modifying, or preparing finite element vehicle/structural models using ANSA, HyperMesh, or a comparable preprocessing platform
Added 3 mins ago
Principal Algorithm Engineer – Imaging / Ultrasound (ML)
Medtronic
Mounds View, MN
As a Principal Algorithm Engineer, you will contribute to the research and development of novel signal processing, image processing, and computational algorithms for medical device…
Added 3 mins ago
Confluent - Distributed Systems Software Engineer - WarpStream
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ROCHESTER, MN
WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It’s delivered to customers as a BYOC-style offering. The…
Added 3 mins ago
Senior Enterprise Engineer - Salesforce Platform (EAA - STP)
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Added 3 mins ago
Senior Software Engineer, Stablecoins
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Added 3 mins ago
Software Engineer, Systems ML
Meta
Saint Paul, MN
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive…
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Software Engineer, CDP - Stablecoin
Coinbase
Saint Paul, MN
…growth, and ecosystem expansion at Coinbase. As a Software Engineer, you'll help deliver a suite of international stablecoins by evaluating and integrating external partner APIs, building…
Added 3 mins ago
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Senior AI Engineer, Platform Integration
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Saint Paul, MN
- $11.41 USD / hour
…and client security reviews. You'll also work with a backend engineer building the matching controls inside the Quinn platform, and with the IT and innovation teams at our design partner…
Added 3 mins ago
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Senior II Site Reliability Engineer
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Saint Paul, MN
- $146,400 to $263,600 USD / year
In this role, you'll be at the forefront of Akamai Cloud platform software and hardware technologies. We're responsible for identifying performance bottlenecks and creating the supporting…
Added 3 mins ago
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Senior II Site Reliability Engineer
Akamai Technologies, Inc.
Saint Paul, MN
- $146,400 to $263,600 USD / year
As a Senior II Site Reliability Engineer, you will be responsible for:
Added 3 mins ago
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Site Reliability Engineer II
Akamai Technologies, Inc.
Saint Paul, MN
- $95,000 to $171,000 USD / year
As a Site Reliability Engineer II, you will be responsible for:
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Solutions Architect - Nutanix Database Service
Nutanix
Saint Paul, MN
…specialists across Nutanix Enterprise AI (NAI), Nutanix Kubernetes Platform (NKP), Nutanix Cloud Clusters (NC2), and External Storage to deliver full-stack solution…
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Senior Cybersecurity Architect (Cloud)
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Engineer and administer cloud security posture management and workload protection capabilities, including environment onboarding, policy configuration, security recommendations, coverage,…
Added 3 mins ago
Cybersecurity Engineer (Cloud)
Amentum
Saint Paul, MN
Configure and test security policies, infrastructure-as-code controls, deployment automation, and supporting integrations in coordination with cloud platform and application owners.
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Cyber Full-Stack Software Engineer
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…next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern…
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Lead Solution Architect with AI Experience
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…operational performance, and accelerate digital product and platform…
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Snowflake Sr. Data/AI Engineer
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CGI is looking for an experienced Senior Snowflake Data and AI Engineer to design, build, and optimize modern data solutions on the Snowflake AI Data Cloud. This role pairs deep data…
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Information Security Engineer - Cyber Threat Intelligence
U.S. Bank
Minneapolis, MN
U.S. Bank is seeking a hands-on Information Security Engineer to develop Python-based automation and AI-enabled technology supporting our Cyber Threat Intelligence organization. This role…
Added 4 mins ago
Senior Engineer, Google Cloud
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As a Senior Engineer, Google Cloud you will focus on building, testing, and optimizing cloud-native applications on Google Cloud, supporting work that spans the full software development…
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Full-stack Engineer 5 - Intelligent Foundations and Experiences (IFX)
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NY · Plano, TX · McLean, VA
Partner with architects and product leaders to define platform roadmaps and shared services strategy
Added 12 mins ago
AI Threat Defense Engineer, Google Cloud Consulting
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As an AI Threat Engineer, you will provide excellent technical guidance to customers adopting Google Cloud Platform services. You will provide best practices on secure foundational cloud…
Added 14 mins ago
Principal Machine Learning Engineer
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As a Principal Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You can grasp advanced engineering concepts…
Added 14 mins ago
AI Engineer
Barton Malow
Southfield, MI
We are hiring an AI Engineer to be a core builder on our agentic platform. You will build the agent pipelines, tool integrations, and production features that make AI agents do real,…
Added 16 mins ago
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Applied AI Engineer
Bright Vision Technologies
Frisco / North Dallas, TX
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking an Applied AI Engineer to build production-oriented applications that use machine learning models and foundation-model services to solve practical…
Added 16 mins ago
BV
MLOps Engineer
Bright Vision Technologies
Sunnyvale / South Bay, CA
- $115,000 to $165,000 USD / year
Bright Vision Technologies is seeking an MLOps Engineer to build and maintain the automation and infrastructure required to develop, deploy, monitor, and manage machine learning models in…

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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