Top 1127 Senior ai ml engineer Jobs in Cupertino Ca

Senior Engineering Manager, Agentic & Generative AI Benchmarking and Evaluations
ServiceNow —Santa Clara, CA
- $201,300 - $352,300 a year
- Online Application
- Computer Science
- System design
- Residential
- Employee stock purchase plan
- Health insurance
Quick Apply
13d
Senior Agentic Search Infrastructure Engineer - Moveworks
ServiceNow —Mountain View, CA
- $143,200 - $243,000 a year
- Online Application
- Computer science
- Computer Science
- Bachelor of Science
- Employee stock purchase plan
- Health insurance
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Senior Staff Data Center Operations Engineer, GPU Hardware Architecture
Crusoe —Sunnyvale, CA
- $179,000 - $218,000 a year
- Full-time
- Bachelor of Science
- Analysis skills
- Training & development
- Commuter assistance
- Paid parental leave
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Senior Machine Learning Engineer, Agentic Systems - Moveworks
ServiceNow —Mountain View, CA
- Online Application
- Computer Science
- 5 years
- Residential
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Senior Machine Learning Engineer, Agentic AI Systems - Moveworks
ServiceNow —Mountain View, CA
- Online Application
- System design
- Residential
- Fair chance
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Senior Software Engineer, AI/ML, AI and Infrastructure
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior Staff Software Engineer, AI/ML GenAI, Google Ads
Google —Mountain View, CA
- $262,000 - $365,000 a year
- Full-time
- Management
- Computer Science
- Engineering
Senior Machine Learning Engineer, Agentic Systems - Moveworks
ServiceNow —Mountain View, CA
- $161,300 - $274,200 a year
- Online Application
- Computer Science
- 5 years
- Residential
- Employee stock purchase plan
- Health insurance
Quick Apply
Senior Machine Learning Engineer, Agentic Systems - Moveworks
ServiceNow —Mountain View, CA
- $161,300 - $274,200 a year
- Online Application
- Computer Science
- 5 years
- Residential
- Employee stock purchase plan
- Health insurance
Quick Apply
Senior Manager AI/ML Engineering - Remote
UnitedHealth Group —San Jose, CA
- $148,900 - $255,300 a year
- Full-time
- Azure
- Computer Science
- Pass drug screening
Senior Software Engineer, AI/ML GenAI, Google Cloud AI
Google —Sunnyvale, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior Engineer, Interactive Voice Response - AI/ML
GEICO —Palo Alto, CA
- $100,000 - $215,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
Senior Software Engineer, AI/ML, Gen AI, Geo
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
Senior ML/AI Engineer - Observability
General Motors —Sunnyvale, CA
- $178,420 - $230,500 a year
- Email
- Computer science
- Azure
- Computer Science
- Health savings account
- Paid holidays
Senior Software Engineer, Head Tracking, Beam, AI/ML
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- Paid holidays
- Disability insurance
4d
Senior Software Engineer, AI/ML, Ads Training
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
5d
Senior Software Engineer, AI/ML, Google Cloud
Google —Sunnyvale, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops
Advanced Micro Devices, Inc —Santa Clara, CA
- Computer Science
- System design
- Master's degree
3d
Senior Software Engineer, AI/ML, Google Ads
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- System design
2d
Senior Staff Software Engineer, AI/ML
Google —Sunnyvale, CA
- $262,000 - $365,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
4d

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Senior Engineering Manager, Agentic & Generative AI Benchmarking and Evaluations

ServiceNow -
Santa Clara, CA

Quick Apply

Job Details

Full-time
$201,300 - $352,300 a year
13 days ago

Benefits

Employee stock purchase plan
Health insurance
Flexible spending account
Family leave
401(k) matching

Qualifications

AI models
Software engineering
NumPy
Generative models
System design
Application deployment
Managing IT teams
Managing data teams
ROI
Pandas
Machine intelligence
Managing engineering teams
Model deployment
SDKs
System deployment
Model evaluation
Software architecture
MLOps
Generative AI
Statistical analysis tools
Senior leadership

Full Job Description

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

Job Description

We are seeking an exceptional, data-driven Senior Engineering Manager, Agentic & GenAI Benchmarking and Evaluations to establish and lead AI evaluation practices for both ServiceNow and our customers. As ServiceNow shifts enterprise workflows from simple generation to complex, autonomous agents, ensuring system reliability, safety, and accuracy is paramount.

In this role, you will lead a specialized team of AI evaluation engineers and data scientists. Your team will build the infrastructure, rigorous validation frameworks, and benchmarks that quantify the performance of Now Assist agentic workflows across multi-step orchestration, tool-calling, and enterprise-grounded reasoning. You will bridge the gap between frontier AI research and hard production metrics, directly impacting the trust and adoption of autonomous workflows for millions of enterprise users.

What You Get To Do In This Role

Build the Evaluation Infrastructure: Design, own, and scale automated testing and evaluation harnesses (unit evals, integration evals, and production drift monitors) to measure agent quality and eliminate regressions.
Define Enterprise AI Benchmarks: Create standard, repeatable evaluation frameworks tailored to complex business workflows—assessing multi-agent orchestration, intent routing, multi-step planning loops, and long-term memory accuracy.
Validate Grounding & RAG Pipelines: Partner with search and data fabric teams to systematically evaluate Retrieval-Augmented Generation (RAG) pipelines, hybrid search, and semantic re-ranking systems.
Model Selection Optimization: Rigorously benchmark frontier LLMs (e.g., OpenAI, Anthropic, Google, and proprietary ServiceNow models) to evaluate trade-offs across execution capabilities, latency, context-window efficiency, and inference costs.
Lead a High-Performing Team: Recruit, mentor, and foster an AI-native engineering team, driving engineering best practices, prompt-infrastructure stability, and production-grade rigor.
Cross-Functional Leadership: Collaborate with Core Product, Machine Learning Platforms, and Engineering leads to translate baseline performance statistics into actionable product improvements and model fine-tuning targets.

Qualifications

To be successful in this role you have:

8+ years of professional software engineering or machine learning experience, including 3+ years managing or technically leading high-performing AI/ML teams.
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
Strong foundational knowledge of frontier AI SDKs and deep experience deploying or testing agentic/probabilistic software architectures (multi-agent orchestration, tool execution, and probabilistic feature deployment).
Demonstrated experience implementing rigorous AI metrics (e.g., ROUGE, BLEU, G-Eval, LLM-as-a-judge patterns, and custom deterministic evaluation code) at an enterprise scale.
Proficiency in Python and familiarity with data analytics infrastructures (SQL, Pandas, NumPy) alongside standard MLOps tracking platforms.
Experience with complex knowledge infrastructure, SaaS platform architectures, or relational datasets (e.g., Knowledge Graphs, CMDBs).
Ability to translate deeply technical evaluation data into executive-level risk assessments, ROI summaries, and strategic roadmap recommendations.
Bachelor’s or higher degree in Computer Science, Data Science, Machine Learning, or a highly quantitative field (Master's or Ph.D. is a plus).

For positions in this location, we offer a base pay of $201,300 - $352,300, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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Refine Your Search

senior ai ml engineer jobs in cupertino ca

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