招聘

Member of Technical Staff, Senior Applied AI Engineer
United States, California, Mountain View; United States, Washington, Redmond
·
On-site
·
Full-time
·
2mo ago
薪酬
$119,800 - $234,700
必备技能
C
C++
C#
Java
JavaScript
Python
Overview We’re hiring a Senior Applied AI Engineer to join a fast‑moving, high‑ownership team building next‑generation AI assistant and productivity capabilities. This role blends LLM product engineering, evaluation science, hillclimbing, and internal tool building with the pace and creativity of a startup. You’ll work across the entire lifecycle of features from early prototypes to production‑grade systems and help define how millions of users interact with AI.
Responsibilities
LLM Feature & Agent Development:
Design and ship LLM‑powered assistant features, including conversational flows, agentic behaviors, retrieval pipelines, and multimodal interactions.
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Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
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Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
Evaluation, Hillclimbing & Quality Systems -
Build and maintain evaluation frameworks for correctness, safety, grounding, and UX quality.
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Run hillclimbing loops across prompts, models, and tool‑use strategies to continuously improve assistant performance.
-
Analyze failure modes, design mitigations, and drive systematic improvements across the stack.
LLM Tooling & Internal Infrastructure- Develop internal tools for prompt experimentation, model comparison telemetry and debugging automated eval pipelines -
Create reusable frameworks that accelerate the entire AI org’s ability to ship high‑quality assistant features.
Applied ML & Product Integration- Integrate LLMs with product surfaces, APIs, and backend systems. -
Build lightweight ML components (ranking, classification, summarization, personalization) that enhance assistant intelligence.
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Collaborate with PM, design, and research to turn ambiguous ideas into polished user experiences.
High‑Velocity Teamwork -
Operate with startup‑founder energy: bias for action, rapid iteration, and comfort with ambiguity.
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Work closely with researchers, engineers, and product leaders in a fast‑moving AI team where ideas ship quickly and impact is immediate.
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Contribute to a culture of experimentation, clarity, and high‑quality execution.
-
Build prompt architectures, system instructions, and orchestration logic that ensure reliability, grounding, and personality consistency.
-
Prototype new capabilities rapidly and iterate based on user signals and evaluation data.
Qualifications Required/minimum qualifications- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications- Master’s Degree AND 3+ years of experience in engineering, problem solving, model building, evaluation, data analysis OR equivalent experience.
- 2+ years shipping production-level code, models, or data analysis.
- 1+ years using AI-assisted coding and analysis techniques.
- Experience working on small teams and mid-stage startup environments.
- Experience working on AI products.
- PhD in engineering, applied math, statistics, or related analytical field.
- 4+ years shipping production-level code, models, or data analysis.
- Deep experience building from zero-to-one.
- Hands on work hillclimbing AI evaluations.
Data Science 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 $158,400 - $258,000 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
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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, read more about requesting accommodations.
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关于Microsoft

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
员工数
Redmond
总部位置
$3000B
企业估值
评价
3.8
5条评价
工作生活平衡
4.1
薪酬
4.3
企业文化
3.4
职业发展
3.2
管理层
3.0
65%
推荐给朋友
优点
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
缺点
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
薪资范围
5,620个数据点
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Applied Science
1份报告
$234,166
年薪总额
基本工资
$180,128
股票
-
奖金
-
$234,166
$234,166
面试经验
1次面试
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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