principal data scientist

applied ai engineer ii

applied scientist ii and senior: microsoft ai development acceleration program Jobs in Redmond

data scientist

principal applied scientist Jobs in Redmond

principal applied scientist

applied scientist ii and senior microsoft ai development acceleration program

Microsoft

<div>Overview 
Come build community, explore your passions, and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.
Microsoft is dedicated to transforming Azure into a global AI supercomputer, enabling the responsible development of cutting-edge foundational AI. This includes large language models (LLMs) designed to empower people to harness the world's knowledge, revolutionize interactions with technology, and enhance user experiences. 
 
To solidify our leadership in AI, Microsoft has launched a groundbreaking program to develop the next generation of leaders in this field. Over the course of two years, participants will work in interdisciplinary project teams to provide AI as a service to engineering teams across Microsoft and solve some of our most exciting and challenging problems. In addition, you will have mentors, exposure to leaders, and access to numerous AI applied scientists, researchers, and engineers across the company. After completing the program, participants have the opportunity to join one of the sponsoring product teams and further accelerate their careers at Microsoft.
MAIDAP Applied Scientists will have the opportunity to leverage or instantiate novel AI technologies into production by advancing the state-of-the-art both internally and externally to meet product needs. Acting as the bridge between research and development (R&amp;D), they will blend techniques from both researchers and development teams. This approach drives data-driven, research-backed innovation from theory into reality, in collaboration with software engineers and product managers in MAIDAP, as well as partnering product and technology teams across Microsoft. A PhD is preferred for this role, as it reflects advanced proficiency in scientific methodology, rigorous experimental design, and a strong commitment to reproducible research practices.
Microsoft&rsquo;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.
Please note that this position has a single start date in July 2026, candidates must be available to start full-time in July 2026. Unfortunately, we cannot accommodate earlier start dates.
#EiP #Maidap 
Responsibilities 
<ul><li>
Research, develop, and lead the implementation of AI solutions in application projects for Microsoft&rsquo;s products and services.</li><li>
Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data.</li><li>
Stay current with the latest research and technology and communicate your knowledge throughout the organization.</li><li>
Take responsibility for preparing data for analysis, reviewing data preparation/ETL code, and providing critical feedback on issues of data integrity.</li><li>
Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.</li><li>
Patent and publish relevant IP and scientific research.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
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) 
<ul><li>
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)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field</li><li>
OR equivalent experience.</li></ul></li><li>
Candidates must be available to start full-time in July 2026.</li></ul>
Preferred Qualifications:<ul><li>
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)<ul><li>
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)</li><li>
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)</li><li>
OR equivalent experience.</li></ul></li><li>
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).</li><li>
A publication record in any of the following or related modeling paradigms: LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning/fair and interpretable AI/optimization for machine learning.</li><li>
Experience in any of the deep learning frameworks, systems, or big-data application solutions, along with application experience in language, speech, vision, graphics, gaming, or recommendation.</li><li>
2+ years experience and proven knowledge in Python/R/Scala or similar.</li><li>
Energized by creating AI solutions and the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.</li></ul> 
 
 
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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
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 $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 
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.</div>

Applied Scientist II and Senior: Microsoft AI Development Acceleration Program

<div>Overview 
Microsoft Advertising empowers the world&rsquo;s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities.
Microsoft&rsquo;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 
<ul><li>
Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.</li><li>
Review business requirements and incorporate research to meet business goals.</li><li>
Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
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)<ul><li>
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)</li><li>
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)</li><li>
OR equivalent experience.</li></ul></li></ul>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul> 
Preferred Qualifications:<ul><li>
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)<ul><li>
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)</li><li>
OR equivalent experience.</li></ul></li><li>
3+ years experience conducting research as part of a research program (in academic or industry settings).</li><li>
1+ year(s) experience developing and deploying live production systems, as part of a product team.</li><li>
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li><li>
Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.</li></ul> 
#MicrosoftAI 
 
 
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 $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 
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.</div>

Senior Applied Data Scientist

<div>Overview<div> 
Microsoft Teams is the hub for teamwork that brings together people, content, and tools to drive productivity and engagement. As part of Microsoft&rsquo;s modern work, life, and education vision, Teams is transforming how people communicate and collaborate globally.
We are seeking a Principal Applied Scientist to join the Enterprise Voice Calling team within the Teams Calling, Meeting &amp; Devices group. This role is ideal for someone passionate about building intelligent, scalable, and secure voice communication experiences powered by cutting-edge AI.
Microsoft&rsquo;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.</div> 
Responsibilities 
<div><ul><li>
Collaborate with cross-functional teams including product managers, engineers, and researchers to design and deliver next-generation voice calling experiences.</li><li>
Apply and fine-tune large foundation models to enhance real-time voice communication, transcription, and summarization.</li><li>
Lead prompt engineering efforts to optimize generative AI capabilities for enterprise-grade calling scenarios.</li><li>
Drive innovation for Microsoft Copilot and other AI-powered features within Teams Calling.</li><li>
Analyze user behavior and system performance to identify opportunities for improvement and personalization.</li><li>
Contribute to the development of scalable machine learning pipelines and experimentation frameworks.</li><li>
Mentor junior scientists and engineers, fostering a culture of technical excellence and growth.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
Bachelor'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)<ul><li>
OR Master'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)</li><li>
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)</li><li>
OR equivalent experience.</li></ul></li></ul></div><div> 
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:<div><ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li><li>
2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li><li>
5+ years experience conducting research as part of a research program (in academic or industry settings).</li><li>
3+ years experience developing and deploying live production systems, as part of a product team.</li><li>
3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li><li>
5+ years of experience in applied machine learning or AI, preferably in voice or communication technologies.</li><li>
Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and cloud platforms (e.g., Azure).</li><li>
Experience with foundation models, prompt engineering, and generative AI.</li><li>
Proven track record of delivering production-grade ML solutions.</li><li>
Experience in real-time voice processing, speech recognition, or NLP.</li><li>
Familiarity with enterprise communication systems and security requirements.</li><li>
Solid collaboration and communication skills across discipline.</li></ul></div></div> 
 
 
Applied Sciences 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.</div>

Principal Applied Scientist

<div>Overview<div> 
The IDEAS team (Insights, Data, Employee Experience, Agents, and Science), is one of the largest data science groups at Microsoft, our team plays a key role in providing data and analytics for M365 and owns the end to end ML and decision sciences charter. By joining our team, you will be at the heart of data, insights, machine learning, AI, and technology, lighting up actionable insights that drive key business decisions for the entire M365 organization. 
 
As a Senior Applied Scientist in IDEAs team, you will be bringing relevant data into a central systems to create the single version of truth and perform opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle. This opportunity will allow you to gain experience in designing, prototyping, implementing and testing descriptive, predictive analytics, forecasting, causal inference models and also thrive in a team environment that values cross team collaboration and building on the success of others.
Microsoft&rsquo;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.</div> 
Responsibilities 
<div><ul><li>
You will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance.</li><li>
As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams.</li><li>
You will work with engineers to architect and develop operational models that run at scale.</li><li>
You will communicate with technical and non-technical audiences, and contribute with your modeling experience as a team player.</li><li>
You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li></ul></div>
Other Requirements:<ul><li>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></li></ul>
Preferred Qualifications:<div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li><li>
4+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.</li><li>
1+ years experience on large scale computing systems like COSMOS, Hadoop, Spark, Flink, MapReduce and/or similar systems.</li><li>
Familiarity with deep learning toolkits, e.g. CNTK, PyTorch.</li></ul>
#DPG
#IDEAS
#DPGHiring</div> 
 
 
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 $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 
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.</div>

Senior Applied Scientist

<div>
 
 Overview
 
 
 
 The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences, and then translates the insights into actionable metrics. These metrics provide direction to the the Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled experiments.
 
 
 Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org.
 
 
 As a data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments. Come join us!
 
 
 Microsoft&rsquo;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
 
 
 
 <ul>
 <li>
 Design, analyze, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions.
 </li>
 <li>
 Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
 </li>
 <li>
 Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention.
 </li>
 <li>
 Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions.
 </li>
 <li>
 Effectively communicate analytical methodologies, data visualizations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
 </li>
 <ul>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <ul>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Experience with SQL-like query languages.
 </li>
 <li>
 Hands on experience in design &amp; problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
 </li>
 <li>
 Ability to work independently, influence others, and solid communication and collaboration skills.
 </li>
 <li>
 Familiarity with search engines, dealing with online instrumentation.
 </li>
 <li>
 Experience with large datasets and interest in consumer online search behaviors.
 </li>
 <li>
 Experience with building machine learning models on large scale data.
 
 </li>
 </ul>
 #MicrosoftAI #Search #MAI #nextplay
 
 
 Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.
 
</div>

Data Scientist

<div>Overview<div> 
Dynamics 365 is Microsoft&rsquo;s suite of enterprise software that powers many of the largest businesses in the world. The Customer Experience Applications Team delivers Dynamics 365 Contact Center, an AI-first solution that lets our customers run intelligent and highly scalable contact centers. We are building the next generation of our applications running on Azure that pull together Dynamics 365, Office 365 and a number of other Microsoft cloud services to deliver high value, complete, and predictive application scenarios across all devices and form factors. 

 
D365 Contact Center is a robust application that extends the power of CRM&rsquo;s like Dynamics 365 Customer Service to enable organizations to instantly connect and engage with their customers via channels like Live Chat, Voice, and SMS. 
 
As an Applied AI Engineer II in the Microsoft Dynamics Customer Experience Applications team, you will apply both software engineering and AI expertise to design and implement intelligent solutions within Dynamics 365. You&rsquo;ll collaborate with business and technology leaders, internal users, and partners to build scalable, production-ready systems that leverage AI to solve complex business requests. In this role, you are expected to bring software engineering fundamentals&mdash;architecture, coding, testing, and deployment&mdash;while also selecting and integrating the most effective AI models and frameworks to deliver measurable impact and innovation. 
 
We innovate quickly and collaborate closely with our partners and customers in a very agile environment. If the opportunity to collaborate with a diverse engineering team, on enabling end-to-end business scenarios using cutting-edge AI first technologies and to solve problems for large scale 24x7 business SaaS applications excite you, we would love to talk to you!
Microsoft&rsquo;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.</div> 
Responsibilities<div> 
As a software engineer with applied AI focus in the Microsoft Dynamics Customer Experience Applications team, you will apply both software engineering and AI expertise to build intelligent, scalable solutions that power Dynamics 365 services used globally. You&rsquo;ll collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements. Your responsibilities include:<ul><li>
Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs.</li><li>
Build and debug production-grade code in distributed systems</li><li>
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact</li><li>
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring.</li><li>
Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with strong MLOps and DevOps practices.</li><li>
Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning.</li><li>
Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies.</li></ul></div> 

Qualifications 
Required Qualifications:<ul><li>
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<ul><li>
OR equivalent experience.</li></ul></li></ul>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul>
Preferred qualification:<ul><li>
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li></ul></li><li>
1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems.</li><li>
AI &amp; Domain Expertise: Deep expertise in one or more AI domains, with a proven track record of deploying and scaling AI models in cloud environments.</li><li>
MLOps &amp; LLMOps: Strong experience with MLOps workflows (CI/CD, monitoring, retraining pipelines) and familiarity with modern LLMOps frameworks.</li><li>
Cloud &amp; Infrastructure: Skilled in building and operating infrastructure using Azure, AWS, or Google Cloud, and deploying containerized models with Docker, Kubernetes, or similar tools.</li><li>
Engineering Excellence: Passion for building high-quality, reliable, and maintainable software with strong coding and debugging practices.</li><li>
Collaboration &amp; Communication: Excellent verbal, written, and cross-team communication skills; a collaborative team player across time zones and diverse stakeholder groups.</li><li>
Experience with customers success, zero trust security and compliance.</li><li>
Experience with proficient coding, debugging, and problem-solving skills.</li></ul>
#BICJobs 

 
 
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.</div>

Applied AI Engineer II

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Leo is Amazon&rsquo;s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. 
 
Key job responsibilities 
<ul><li>Solve large scale and complex optimization problems for operating satellite constellations</li><li>Work with our peer teams and customers to design suitable software systems to fulfill the mission needs.</li><li>Write code for production cloud native software systems in Java and Python.</li><li>Utilize AWS and other Amazon technologies to build high-available software services.</li><li>Help on-board and mentor new team members.</li><li>Lead technical roadmap definition efforts and decide what software services to build.</li></ul> 
Export Control Requirement 
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. 
 
A day in the life 
As a Senior Applied Scientist, you will play a crucial role in the development of services to support the automation of the Leo mission. You will work with a dynamic group of passionate engineers and collaborators across peer teams to identify automation needs, design novel solutions that meet customer requirements, and write software to automate key behaviors for our constellation's space and ground assets. You will be building low-latency, highly-scalable architecture to generate and execute our mission plans safely and effectively. 
 
About the team 
The team builds software which supports the automated planning and execution of satellite activities, empowering humans to automate key tasks and take themselves out of the loop as we scale the Leo constellation. We own services that model spacecraft behaviors, predict future vehicle state, capture operational constraints on our system, and generate mission schedules that serve our customers while preserving vehicle health and safety.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Master's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of mathematics optimization such as linear programming and nonlinear optimization experience</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Redmond - 167,100.00 - 226,100.00 USD annually</div>

Sr. Applied Scientist, Leo Autopilot

Explore 102+ Applied scientist ii and senior microsoft ai development acceleration program in Redmond this March. Find roles across top companies and apply now to boost your career.