Top 77 Applied scientist ii Jobs in Snoqualmie, Wa

Applied Scientist II
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Hybrid work
- Background check
- Computer science
- Doctoral degree
Applied Scientist II (Bing Places)
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Applied Scientist
Microsoft —Redmond, WA
- $102,100 - $219,200 a year
- Full-time
- Computer science
- Azure
- Doctoral degree
1d
Applied Scientist II, Identity Security & Abuse Prevention
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
1d
Applied Scientist II, Demand Science
Amazon.com LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Computer science
- Computer Science
- Java
- AD&D insurance
- Health insurance
Applied Scientist II, PXT
Amazon.com Services LLC —Bellevue, WA
- $142,800 - $223,400 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
7d
Applied Scientist II, Personalization
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Sr. Data Scientist II (Remote Eligible)
Smartsheet —Bellevue, WA
- $155,000 - $185,000 a year
- Full-time
- Remote
- 8 years
- SQL
- Bachelor's degree
13d
Data Scientist II
Scribd, Inc. —Seattle, WA
- $118,000 - $150,000 a year
- Full-time
- Computer Science
- Mid-level
- Residential
- Paid parental leave
- Disability insurance
14d
Applied Scientist II, Amazon, Amazon
Amazon.com Services LLC —Seattle, WA
- $142,800 - $222,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
Applied Scientist II, AWS Just-Walk-Out Science Team
Amazon.com Services LLC —Seattle, WA
- $142,800 - $222,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, Search Ranking
Amazon.com Services LLC —Seattle, WA
- $142,800 - $222,200 a year
- Full-time
- Office
- Java
- Master's degree
- AD&D insurance
- Health insurance
10d
Applied Scientist II, Alexa International Team
Amazon.com Services LLC —Bellevue, WA
- $142,800 - $193,200 a year
- Full-time
- Computer science
- Computer Science
- Java
- AD&D insurance
- Health insurance
Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
Applied Scientist II, Global Mile
Amazon.com Services LLC —Bellevue, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
Applied Scientist II, Amazon Smart Vehicles
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
8d
Applied Scientist II, Selling Partner Selection Success
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
- AD&D insurance
- Health insurance
2d
Applied Scientist II, AWS DynamoDB
Amazon Development Center U.S., Inc. —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Java
- Master's degree
- C++
- AD&D insurance
- Health insurance
8d
Applied Scientist II, Amazon Search
Amazon.com Services LLC —Seattle, WA
- $142,800 - $193,200 a year
- Full-time
- Surgery
- Mid-level
- Java
- AD&D insurance
- Health insurance
13d
Data Scientist II, Selection Growth Science
Amazon.com LLC —Seattle, WA
- $136,000 - $184,000 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
- AD&D insurance
- Health insurance
3d

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Applied Scientist II

Microsoft -
Redmond, WA

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Job Details

Full-time
$102,100 - $219,200 a year

Qualifications

Data-driven problem-solving

Full Job Description

Overview

We seek an 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.
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 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- 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:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ 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.
2+ years of proficient experience with C#/C++/Java/Python/Scala or any other OOP skills with a good knowledge of Data Structures/Algorithms.
Passionate and have experience in data analytics, applied machine learning, deep learning and/or related fields.

#MicrosoftAI #GenAI #LLM #MAI

Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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

applied scientist ii jobs in snoqualmie, wa

Applied Scientist II

Applied Scientist II (Bing Places)

Applied Scientist

Applied Scientist II, Identity Security & Abuse Prevention

Applied Scientist II, Demand Science

Applied Scientist II, PXT

Applied Scientist II, Personalization

Sr. Data Scientist II (Remote Eligible)

Data Scientist II

Applied Scientist II, Amazon, Amazon

Applied Scientist II, AWS Just-Walk-Out Science Team

Applied Scientist II, Search Ranking

Applied Scientist II, Alexa International Team

Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice

Applied Scientist II, Global Mile

Applied Scientist II, Amazon Smart Vehicles

Applied Scientist II, Selling Partner Selection Success

Applied Scientist II, AWS DynamoDB

Applied Scientist II, Amazon Search

Data Scientist II, Selection Growth Science

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