Top 268 Senior applied scientist Jobs in Mountain View Ca

Senior Applied Scientist
Microsoft —Mountain View, CA
- $119,800 - $261,000 a year
- Full-time
- Hybrid work
- Background check
- Doctoral degree
- Computer Science
Senior Applied Scientist
Adobe —San Jose, CA
- $142,700 - $270,950 a year
- Full-time
- Fair chance
- Experience equivalent to degree accepted
- Senior level
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
14d
R&D Senior Scientist, Industrial Microbiologist
The Clorox Company —Pleasanton, CA
- $91,200 - $210,000 a year
- Full-time
- Hybrid work
- 5 years
- Office
- Bachelor's degree
- Health insurance
- Adoption assistance
Senior Applied Scientist, Modeling and Optimization
Amazon.com Services LLC —Santa Clara, CA
- $192,200 - $260,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
- AD&D insurance
- Health insurance
Senior Applied Scientist, AGI Customization
Amazon.com Services LLC —Sunnyvale, CA
- $167,100 - $260,000 a year
- Full-time
- 6 years
- Java
- Master's degree
- AD&D insurance
- Health insurance
Senior Data Scientist, Experimentation & Causal Inference
Apple —Cupertino, CA
- $184,700 - $324,800 a year
- Computer Science
- 5 years
- Master's degree
- Employee stock purchase plan
- Health insurance
SENIOR ENVIRONMENTAL SCIENTIST (SPECIALIST)
Department of Parks & Recreation —Santa Cruz County, CA
- $7,820 - $10,732 a month
- Full-time
- Hybrid work
- Office
- Fingerprint clearance
- Computer skills
Life Science Research Professional 1 (On-Site Only)
Stanford University —Stanford, CA
- $32.58 - $38.48 an hour
- Extended hours
- Maintenance
- Mid-level
- University
- Health insurance
- Tuition reimbursement
14d
Senior Data Scientist
Rundoo —Redwood City, CA
- $201,000 - $248,000 a year
- Full-time
- Remote
- 5 years
- Senior level
- Middle school
- Paid holidays
- Health insurance
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
Quick Apply
Sr. Applied Scientist
Adobe —San Jose, CA
- $204,800 - $313,300 a year
- Full-time
- Computer Science
- Master's degree
- Doctor of Philosophy
Principal Applied Scientist
Adobe —San Jose, CA
- $206,300 - $388,000 a year
- Full-time
- Computer science
- Computer Science
- System design
Senior Data Scientist - Family Experience
roblox —San Mateo, CA
- $221,380 - $263,670 a year
- Full-time
- Computer Science
- Research
- Office
Senior Quantum Applied Research Scientist, Physics Modeling
NVIDIA —Santa Clara, CA
- $192,000 - $304,750 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- 8 years
Social Science Research Coordinator (Hybrid Opportunity)
Stanford University —Stanford, CA
- $29.24 - $34.89 an hour
- Extended hours
- Hybrid work
- Computer literacy
- Writing skills
- Mid-level
- Health insurance
- Tuition reimbursement
14d
Senior Data Scientist, Strategic Modeling & Simulation
Apple —Cupertino, CA
- $184,700 - $324,800 a year
- Computer Science
- 5 years
- Master's degree
- Employee stock purchase plan
- Health insurance
Senior Applied Scientist, Delivery Foundation Model
Amazon.com Services LLC —Santa Clara, CA
- $167,100 - $260,000 a year
- Full-time
- Computer Science
- Engineering
- Master's degree
- AD&D insurance
- Health insurance
(USA) Senior, Data Scientist
Walmart —Sunnyvale, CA
- $117,000 - $234,000 a year
- Computer Science
- High school
- Office
- Paid jury duty
- Disability insurance
12d
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

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Senior Applied Scientist

Microsoft -
Mountain View, CA

Apply Now

Job Details

Full-time
$119,800 - $261,000 a year

Qualifications

AI models
Doctoral degree in statistics
Data mining
Statistics
Doctoral degree
Computer Science
Predictive modeling analysis
Bachelor's degree in electrical engineering
Bachelor's degree in statistics
Writing skills
C#
Design of experiments
R
Generative models
Classification (ML)
Prompt engineering
Java
Master's degree
Doctoral degree in Computer Science
Programming languages
Machine intelligence
Statistics research
Ph.D. in statistics
Doctoral degree in computer engineering
Developing large-scale AI models
Computer Engineering
Natural language processing
Master's degree in statistics
Data-driven problem-solving
Master's degree in electrical engineering

Full Job Description

Overview

We seek a Senior Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants. Microsoft AI unites product, engineering, and science teams to advance Bing and Consumer Copilot, aiming to provide the best generative search experience through advanced AI/ML technologies and innovative AI features.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

Building and owning production machine learning models to improve results.
Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc.
Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Qualifications

Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Proficient oral and writing skills.

#MicrosoftAI #ML #GenAI

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

Apply Now

Refine Your Search

senior applied scientist jobs in mountain view ca

Senior Applied Scientist

Senior Applied Scientist

ICP-MS Laboratory Research Scientist

R&D Senior Scientist, Industrial Microbiologist

Senior Applied Scientist, Modeling and Optimization

Senior Applied Scientist, AGI Customization

Senior Data Scientist, Experimentation & Causal Inference

SENIOR ENVIRONMENTAL SCIENTIST (SPECIALIST)

Life Science Research Professional 1 (On-Site Only)

Senior Data Scientist

Senior / Staff Scientist, Assay Automation

Sr. Applied Scientist

Principal Applied Scientist

Senior Data Scientist - Family Experience

Senior Quantum Applied Research Scientist, Physics Modeling

Social Science Research Coordinator (Hybrid Opportunity)

Senior Data Scientist, Strategic Modeling & Simulation

Senior Applied Scientist, Delivery Foundation Model

(USA) Senior, Data Scientist

LCLS Science Research and Development (SRD) Division Leader

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