Overview
On Site
USD 100,600.00 - 199,000.00 per year
Full Time
Skills
Pivotal
Microsoft Office
Product Research
Data Science
Innovation
Collaboration
Accountability
Art
Prompt Engineering
Prototyping
Debugging
Deep Learning
Natural Language Processing
Research
Product Innovation
Artificial Intelligence
Privacy
Computer Science
C
C++
C#
Java
JavaScript
Python
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Algorithms
Screening
PASS
Cloud Computing
Machine Learning Operations (ML Ops)
Workflow
Continuous Integration and Development
Continuous Integration
Continuous Delivery
Large Language Models (LLMs)
LangChain
Ideation
Shipping
Software Engineering
IC
Internal Communications
Integrated Circuit
Legal
Recruiting
Microsoft
Job Details
As an Applied Engineer II you will play a pivotal role in contributing to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful.
You will collaborate across product, research, and engineering teams to bring innovative solutions to life, applying your experience in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to impact some of the most exciting initiatives in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.
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.
Responsibilities:
Qualifications:
Required Qualifications:
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:
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: US corporate pay information | Microsoft Careers
Microsoft will accept applications for the role until November 13, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
You will collaborate across product, research, and engineering teams to bring innovative solutions to life, applying your experience in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to impact some of the most exciting initiatives in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes.
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.
Responsibilities:
- Research and implement state-of-the-art technologies using foundation models, prompt engineering, Retrieval Augmented Generation (RAG), graphs, multi-agent architectures, as well as classical machine learning techniques.
- Fine-tune foundation models using domain-specific datasets
- Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, and online experiments
- Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, and support Machine Learning and AI operations
- Utilize demonstrated experience in AI subfields (e.g., deep learning, Generative AI, Natural Language Processing (NLP), muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.
- Apply an understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks-including XPIA (Cross-Prompt Injection Attack) unfairness, bias, and privacy concerns-to ensure equitable and responsible outcomes.
- Embody ourcultureandvalues.
Qualifications:
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 1+ year of experience with Generative AI OR Large Language Models/Machine Learning algorithms.
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.
- Experience with Machine Learning Operations Workflows, including Continuous Integration/Continuous Delivery (CI/CD), monitoring, and retraining pipelines.
- Familiarity with modern Large Language Model Operations frameworks (e.g., LangChain, PromptFlow).
- 1+ year of experience developing and deploying live production systems.
- Experience across the product lifecycle from ideation to shipping.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: US corporate pay information | Microsoft Careers
Microsoft will accept applications for the role until November 13, 2025.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.