Top 302 Senior applied scientist Jobs in Sunnyvale 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
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Senior Applied Research Scientist
GEICO —Palo Alto, CA
- $115,000 - $230,000 a year
- Full-time
- Computer Science
- Office
- 3 years
3d
Senior Applied Scientist, Reinforcement Learning
Hippocratic AI —Menlo Park, CA
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
Senior Mechanical Engineer - Pulsed Power
Pacific Fusion —Fremont, CA
- $140,000 - $200,000 a year
- 5 years
- Continuous improvement
- Doctor of Philosophy
- Health insurance
- Dental insurance
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ICP-MS Laboratory Research Scientist
Stanford University —Stanford, CA
- $127,211 - $154,222 a year
- Overtime
- 3 years
- Ability to lift 50 pounds
- Analysis skills
Senior / Staff Scientist, Assay Automation
Clear Labs —San Carlos, CA
- $120,000 - $150,000 a year
- Full-time
- 8 years
- Doctor of Philosophy
- US work authorization
- AD&D insurance
- Disability insurance
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Senior Machine Learning Engineer, Recommendations - USDS
TikTok USDS JV —San Jose, CA
- $187,040 - $359,720 a year
- Hybrid work
- Computer Science
- Office
- Bachelor's degree
- Paid parental leave
- Paid holidays
Leading Data-Driven Lab for AI Medicines
Inceptive —Palo Alto, CA
- $245,000 - $305,000 a year
- 6 years
- Management
- Doctor of Philosophy
- Health insurance
- 401(k) matching
Senior Data Scientist - Verification & Validation
Zoox —Foster City, CA
- $256,000 - $307,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Analysis skills
- Health insurance
- Paid time off
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Sr. Applied Analyst
Sony Interactive Entertainment —San Mateo, CA
- $165,900 - $248,900 a year
- Computer Science
- 8 years
- SQL
- Wellness program
- Health insurance
Basic Life Research Scientist
Stanford University —Stanford, CA
- $74,000 - $96,000 a year
- Full-time
- Anatomy knowledge
- 3 years
- University
- Health insurance
- Tuition reimbursement
Staff Data Scientist - Experimentation & Measurement
Sony Interactive Entertainment —San Mateo, CA
- $212,200 - $318,200 a year
- 6 years
- Master's degree
- SQL
- Wellness program
- Health insurance
ML Engineer – Healthcare Foundation Model Developer
Stanford University —Stanford, CA
- Full-time
- Hybrid work
- Management
- Engineering
- System design
Senior Data Scientist - Consumer Frontend
roblox —San Mateo, CA
- $263,670 - $322,820 a year
- Full-time
- Computer Science
- 5 years
- Office
Sr. Product Manager
DNAnexus —Mountain View, CA
- $175,000 - $190,000 a year
- Full-time
- Remote
- Analysis skills
- Product management
- Senior level
- Paid parental leave
- Paid holidays
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Senior Applied Scientist
Adobe —San Jose, CA
- $142,700 - $270,950 a year
- Full-time
- Fair chance
- Experience equivalent to degree accepted
- Senior level
Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare
NVIDIA —Santa Clara, CA
- $184,000 - $356,500 a year
- Full-time
- Computer Science
- 8 years
- Doctor of Philosophy
1d
Senior Data Scientist - Experimentation & Measurement
Sony Interactive Entertainment —San Mateo, CA
- $178,900 - $268,300 a year
- 5 years
- Master's degree
- SQL
- Wellness program
- Health insurance
LCLS Science Research and Development (SRD) Division Leader
SLAC National Accelerator Laboratory —Menlo Park, CA
- $240,799 - $292,634 a year
- Extended hours
- University
- Doctor of Philosophy
- Mentoring
Sr Applied Scientist - Allocation Optimization - Remote
Cystems Logic Inc —San Jose, CA
- Contract
- Remote
- Math
- Senior level
- Python
Quick Apply

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Senior Engineering Manager, Agentic & Generative AI Benchmarking and Evaluations

ServiceNow -
Santa Clara, CA

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Job Details

Full-time
$201,300 - $352,300 a year

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 applied scientist jobs in sunnyvale ca

Senior Engineering Manager, Agentic & Generative AI Benchmarking and Evaluations

Senior Applied Research Scientist

Senior Applied Scientist, Reinforcement Learning

Senior Mechanical Engineer - Pulsed Power

ICP-MS Laboratory Research Scientist

Senior / Staff Scientist, Assay Automation

Senior Machine Learning Engineer, Recommendations - USDS

Leading Data-Driven Lab for AI Medicines

Senior Data Scientist - Verification & Validation

Sr. Applied Analyst

Basic Life Research Scientist

Staff Data Scientist - Experimentation & Measurement

ML Engineer – Healthcare Foundation Model Developer

Senior Data Scientist - Consumer Frontend

Sr. Product Manager

Senior Applied Scientist

Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare

Senior Data Scientist - Experimentation & Measurement

LCLS Science Research and Development (SRD) Division Leader

Sr Applied Scientist - Allocation Optimization - Remote

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