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Added 1 min ago
OT Security Platform Engineer - Dragos
Cognizant
Jefferson City, MO
We are seeking an experienced OT Security Platform Engineer / Technical Lead to own and operate the Dragos security monitoring platform across a global manufacturing environment. This is a…
Added 2 mins ago
Data Engineer, Analytics (Technical Leadership)
Meta
Santa Fe, NM
Data Engineer, Analytics (Technical Leadership) Responsibilities:
Added 2 mins ago
Software Engineer, Machine Learning RecSys
Meta
Santa Fe, NM
Software Engineer, Machine Learning RecSys Responsibilities:
Added 7 mins ago
G
Engineer-in-Training (EIT) - Land Development
GPAC
Tampa, FL
- $70,000 to $100,000 USD / year
We are seeking a motivated Engineer-in-Training (EIT) to join our Land Development team. This is an excellent opportunity for an early-career engineer to gain hands-on experience, work…
Added 25 mins ago
Principal Automation Engineer Optical Inspection SME
J&J Family of Companies
Wilson, NC
Senior Automation Engineer will lead internal team members, suppliers, OEMs, system integrators, Digital/IT partners, automation-system owners, and cross-functional stakeholders to deliver…
Added 25 mins ago
IB
Sr. Quality Engineer/Supervisor
ITG Brands
Greensboro, NC
- $90,227 to $120,302 USD / year
Provides quality engineering and supervision services to support continuous quality improvement in manufacturing and leaf processing operations.
Added 25 mins ago
EG
Databricks Data Engineer
Eliassen Group
Raleigh, NC
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 31 mins ago
VC
ERS-NETA Electrical Testing Technician - SIGN-ON UP TO $10K
Vertiv Corporation
Denver, CO
- $95 USD / hour
Field Engineer - Electrical Testing (NETA Level III/IV)
Added 31 mins ago
VC
ERS-NETA Electrical Testing Technician - SIGN-ON UP TO $10K
Vertiv Corporation
Denver, CO
- $95 USD / hour
Field Engineer - Electrical Testing (NETA Level III/IV)
Added 31 mins ago
SL
AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift.
Added 36 mins ago
M
Senior Critical Environment Mechanical Engineer
Microsoft
ON, CA
- $114,400 to $203,900 CAD / year
…and we need you as a Critical Environment Senior Mechanical…
Added 40 mins ago
Data Engineer
Avalore, LLC
Arlington, VA
The Data Engineer will design, build, and maintain the core WDP data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. This person…
Added 40 mins ago
Systems Engineer
Avalore, LLC
Arlington, VA
The Systems Engineer will conduct comprehensive systems engineering activities to support the WDP platform. This person will translate customer requirements into detailed system designs,…
Added 40 mins ago
DevSecOps Engineer
Avalore, LLC
Arlington, VA
The DevSecOps Engineer will maintain and operate the WDP DevSecOps factory and its associated automated pipelines. This person will integrate security into every phase of the software…
Added 40 mins ago
Software Developer/Engineer
Avalore, LLC
Arlington, VA
The Software Developer/Engineer will perform hands-on software development and integration for the WDP System's software components, including infrastructure, data tools, and user…
Added 40 mins ago
Software Tester / QA Engineer
Avalore, LLC
Arlington, VA
The Software Tester/QA Engineer will ensure the quality of all WDP System software by developing and executing comprehensive test plans and test cases. This person will coordinate with the…
Added 40 mins ago
M
Software Engineer 2 - CoreAI
Microsoft
WA · Redmond, WA · Redmond
- $102,100 to $219,200 USD / year
The Cloud App and Tools team in CoreAI is looking for a Software Engineer 2 - CoreAI to help us build the next generation of Azure libraries and developer tooling. Our mission is to make…
Added 40 mins ago
M
Principal Design Verification Engineer
Microsoft
NC · TX · Raleigh, NC · Austin, TX · Raleigh · Austin
- $142,800 to $304,200 USD / year
…and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the Verification & Validation team is instrumental in…
Added 40 mins ago
Palantir Platform Engineer
Avalore, LLC
Herndon, VA
As a Palantir Platform Engineer, you will play a pivotal role in integrating custom ETL workflows within the Palantir ecosystem. Your responsibilities will include connecting ETL…
Added 40 mins ago
Systems Engineer
Avalore, LLC
Chantilly, VA
Avalore is seeking a systems engineer to support as a member of a team specializing in technical risk analysis of enterprise and operational mission systems, networks, devices, and…
Added 40 mins ago
Cloud Design Engineer, Level 2
Avalore, LLC
Annapolis Junction, MD
Avalore is seeking a Cloud Design Engineer, Level 2. The Cloud Design Engineer develops, maintains, and enhances complex and diverse Web-Based User Interfaces that interact with BigData…
Added 40 mins ago
Cloud Software Engineer, Level 3
Avalore, LLC
Annapolis Junction, MD
Avalore is seeking a Cloud Design Engineer, Level 3. The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented…
Added 40 mins ago
Software Engineer, Level 2
Avalore, LLC
Annapolis Junction, MD
The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely…
Added 40 mins ago
Software Engineer, Level 3
Avalore, LLC
Annapolis Junction, MD
The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely…
Added 40 mins ago
System Engineer, Level 1
Avalore, LLC
Annapolis Junction, MD
…senior executives. Responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 process areas defined by…

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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Skills

Machine learning
ML
Research
Statistics
PyTorch
Grading systems
Communication skills

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