Top 360 Senior applied scientist Jobs in Millbrae, 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, Reinforcement Learning
Hippocratic AI —Menlo Park, CA
- Full-time
- Computer Science
- Office
- Doctor of Philosophy
3d
Senior+ Applied Scientist
Samsara —San Francisco, CA
- $170,170 - $286,000 a year
- Computer Science
- Bachelor of Science
- 3 years
- Health insurance
- Parental leave
10d
Senior Applied AI/ML Scientist
NobleAI —San Francisco, CA
- $190,000 - $220,000 a year
- Full-time
- Remote
- Azure
- AWS
- Doctor of Philosophy
- Paid holidays
- Disability insurance
Quick Apply
Senior Data Scientist, Applied AI
Rippling —San Francisco, CA
- $138,000 - $230,000 a year
- Full-time
- Hybrid work
- Office
- 3 years
- SQL
Senior Bioinformatics Scientist
CEDENT —South San Francisco, CA
- 3 years
- Master's degree
- SQL
Senior Applied Scientist, Applied AI Solutions GTM
Amazon Development Center U.S., Inc. —San Francisco, CA
- $167,100 - $260,000 a year
- Full-time
- 5 years
- Master's degree
- Doctor of Philosophy
- AD&D insurance
- Health insurance
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 Data Scientist, Growth
Quince —Palo Alto, CA
- $171,000 - $198,000 a year
- Background check
- SQL
- 1 year
11d
Senior, Data Scientist
Walmart —San Bruno, CA
- $117,000 - $234,000 a year
- Azure
- Computer Science
- High school
- Paid jury duty
- Disability insurance
Senior Applied Scientist
Amazon.com Services LLC —San Francisco, CA
- $192,200 - $260,000 a year
- Full-time
- Computer Science
- 5 years
- Java
- AD&D insurance
- Health insurance
Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, AI for Drug Discovery
Genentech —San Francisco, CA
- $147,600 - $310,800 a year
- Online Application
- Computer Science
- Doctor of Philosophy
- Senior level
Senior Field Scientist
Alembic —San Francisco, CA
- $160,000 - $185,000 a year
- Full-time
- AWS
- Travel
- Mentoring
Senior Data Scientist
Snowflake —Menlo Park, CA
- $156,000 - $224,200 a year
- Computer Science
- 5 years
- System design
- Health savings account
- Paid holidays
Senior Scientist
Vivodyne —San Francisco, CA
- $115,000 - $160,000 a year
- Full-time
- Analysis skills
- Continuous improvement
- Doctor of Philosophy
Senior Data Scientist - Consumer Frontend
roblox —San Mateo, CA
- $263,670 - $322,820 a year
- Full-time
- Computer Science
- 5 years
- Office
Staff Data Scientist, Weather
Waymo —San Francisco, CA
- $251,000 - $310,000 a year
- Hybrid work
- 8 years
- SQL
- Math
Data Scientist
SAMBA TV —San Francisco, CA
- $150,000 - $185,000 a year
- Full-time
- Computer Science
- 5 years
- Office
- Paid holidays
- Disability insurance
Senior, Applied AI Health Scientist
Samsung Research America —Mountain View, CA
- $158,800 - $218,100 a year
- Computer science
- Computer Science
- HIPAA
Quick Apply
4d
Senior Applied Scientist, Efficient LLM Inference & Model Optimization
Nebius —San Francisco, CA
- $195,200 - $262,200 a year
- Remote
- Computer Science
- Doctor of Philosophy
- Mentoring
- Disability insurance
- Health insurance
Quick Apply
9d

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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 millbrae, ca

Senior Applied Scientist

Senior Applied Scientist, Reinforcement Learning

Senior+ Applied Scientist

Senior Applied AI/ML Scientist

Senior Data Scientist, Applied AI

Senior Bioinformatics Scientist

Senior Applied Scientist, Applied AI Solutions GTM

Senior Data Scientist

Senior Data Scientist, Growth

Senior, Data Scientist

Senior Applied Scientist

Machine Learning Scientist/Senior Machine Learning Scientist - Agents for Applied Small Molecule Drug Design, AI for Drug Discovery

Senior Field Scientist

Senior Data Scientist

Senior Scientist

Senior Data Scientist - Consumer Frontend

Staff Data Scientist, Weather

Data Scientist

Senior, Applied AI Health Scientist

Senior Applied Scientist, Efficient LLM Inference & Model Optimization

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