applied ai engineer ii

ai software engineer ii

manufacturing engineer i

principal engineer

robotics engineer

ai engineer

Microsoft

<div><b>Overview</b><div><p><br>
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.<br>
</p><p>
<br>
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.</p><p><br>
<br>
As an <b>Applied AI Engineer II</b> 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.<br>
<br>
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!</p><p>
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.</p></div><b><br>
Responsibilities</b><div><p><br>
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:</p><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><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><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><p><b>
Other Requirements: </b>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:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p><b>
Preferred qualification:</b></p><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><p>
#BICJobs</p><br>
<p></p>
<br>
<br>
<p>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.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Applied AI Engineer II

<div><b>Overview</b><div><p><br>
Project Sophia is a new generation business application, built ground up from market-disruptive, AI-first product principles. The product has been designed to completely re-define how complex, cross domain business problems are solved. Every interaction, every component and every user experience has been designed leveraging the full power and potential of generative AI and is taking the notion of AI based experiences way beyond the standard AI chat experiences.</p><p><br>
</p><p>Multi-modal concepts, combined with an emphasis of visual appeal and ease of use, is empowering any business user to interact with an infinite, AI Powered Business Research canvas where users can explore and resolve any business question both within and across business domains. Powered by large language models and deep business domain expertise, Project Sophia will empower the user to build out research journeys, automatically suggesting relevant data sources and correlating insights, intelligently visualizing exploration outcomes and suggesting next actions in the research journey. Project Sophia represents the new way of doing business, enabling strategic business decision making in a fraction of the time &ndash; filling a gap in the market where no app exists today.</p><p><br>
</p><p>As we advance our product journey, we are innovating and iterating at a rapid pace. To further accelerate our momentum by bringing agentic, AI-powered experiences to the business application space and transforming how people work we continue to expand our investments in generative AI capabilities.</p><p><br>
</p><p>The Team</p><p>
We are a small, but very dynamic and passionate team that fully embrace the build-measure-learn iterative development approach. We work towards the common goal of building a product customers love. As a natural part of our product design and development process we are working very closely with customers as well as listening to telemetry and other key signals which allow us to consistently evolve based on customer demand and adoption patterns. Deep collaboration across PM, Design, Engineering, and Science is a given and all disciplines play important roles as part of the product development process.<br>
</p><p></p><p>In Sophia&rsquo;s user experience team, we are committed to building the best-in-class AI experiences to gain insight into strategic business questions. We foster a culture of diversity, collaboration, and innovation, valuing everyone's unique perspectives and contributions. Our agile, start-up-like environment encourages out-of-the-box thinking and empowers each team member to contribute towards our shared mission of delivering a highly innovative, agentic, AI powered user experience that is positioned to fundamentally change what business applications look like in the future.</p><p><br>
</p><p>The Candidate Profile &amp; Role</p><p></p><p><br>
As an <b>Applied AI Engineer II</b> on the team, you will apply both software engineering and AI expertise to design and implement intelligent solutions and end-to-end experiences for Sophia. 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 fundamental architecture, coding, testing, and deployment&mdash; while pioneering AI-centric UI and delivering unique experiences that differentiate Sophia in the market.</p><p></p><p><br>
We are seeking individuals who are customer-focused, passionate, creative, and collaborative. If you have a proven track record of delivering delightful experiences and are motivated by our mission to innovate in AI-driven UI and deliver novel experiences, we encourage you to apply. Joining Project Sophia offers a unique opportunity to work on something highly strategic to Microsoft and be at the cutting edge of innovation. We provide opportunities for professional development, mentorship, and career advancement within our dynamic and fast-paced environment.</p><p></p><p><br>
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.</p></div><b><br>
Responsibilities</b><div><p><br>
As a Software Engineer with applied AI focus, you will apply both software engineering and AI expertise to build intelligent, scalable solutions. You&rsquo;ll collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements. Your responsibilities include:</p><br>
<p></p><ul><li>
Design, implement, and ship AI-first product capabilities end-to-end from rapid prototype to production, spanning LLM-powered services, retrieval/grounding pipelines, and intelligent UX experiences that delight users through Sophia&rsquo;s AI canvas.</li><li>
Own implementation across the full stack integrating front-end experiences, back-end services, and AI orchestration layers that connect models, context, and tools to deliver cohesive, extensible, high-performance systems.</li><li>
Collaborate with design, research, and platform teams to adapt or fine-tune LLMs/SLMs and multimodal models for real-world customer scenarios, ensuring outcomes are contextual, transparent, and human-centered.</li><li>
Build agentic, tool-using, and multimodal workflows that reason across data and services; optimize for safety, latency, reliability, and cost efficiency.</li><li>
Contribute to engineering excellence secure-by-design, accessibility compliance, automated testing, and code craftsmanship across the product lifecycle.</li><li>
Instrument and evaluate AI features with telemetry, experimentation, and continuous feedback loops to refine reasoning quality and user experience.</li><li>
Drive live-site reliability and operational excellence, participating in On-Call rotations while maintaining a sustainable, high-ownership engineering culture.</li></ul></div><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><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) 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.</li></ul><p></p><p><b><br>
Other Requirements: </b>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:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p></p><p><b><br>
Preferred qualification:</b></p><ul><li>
2+ years of extensive experience with one or more modern web technologies such as .NET / Node / React / Angular, building RESTful APIs</li><li>
2+ years of solid experience in an OO Language like C# or Java or Python</li><li>
1+ years of professional experience working with generative artificial intelligence, large language models, or agent-based systems.</li><li>
BS/MS in Computer Science or equivalent or 5+ years of industry experience.</li><li>
Excellence in one or more general programming languages including but not limited to: Python, C#; JavaScript; TypeScript.</li><li>
Comfortable driving complex server &amp; client architecture across large product teams.</li><li>
Hands-on experience with modern LLM evaluation techniques, including LLM-as-a-Judge, agentic evaluations, and RAG assessments.</li><li>
A track record of delivering successful, large-scale applied ML projects in an industry setting.</li><li>
Experience with MLOps practices, including model versioning, automated testing, monitoring, and CI/CD for machine learning.</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>
Experience with proficient coding, debugging, and problem-solving skills.</li></ul><p><br>
</p><p>#BICJobs</p><p>
#CXAJOBS</p><br>
<p></p>
<br>
<br>
<p>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.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

<div><b>Overview</b><p><br>
Microsoft Dynamics 365 is a suite of easy-to-learn and easy-to-use business solutions tailored to any market, designed for any business size, and dedicated to growing business through happy customers. The Customer Service Applications Team delivers business applications for Connected Customer Care for 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.</p><p>
As an <b>AI Software Engineer II</b> in the Microsoft Dynamics Customer Experience Applications team, you will contribute to the design and implementation of intelligent solutions within Dynamics 365 by applying both software engineering and AI skills. You&rsquo;ll work closely with senior engineers, business stakeholders, and partners to help build scalable, production-ready systems that leverage AI to address real-world business challenges.</p><p>
In this role, you are expected to demonstrate strong software engineering fundamentals -including coding, testing, and deployment - while integrating and optimizing AI models and frameworks. You will contribute to delivering solutions that are reliable, impactful, and innovative, with mentorship and guidance from more senior team members.</p><p>
We innovate 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 technologies and to solve challenging problems for large scale 24x7 business SaaS applications excite you, we would love to talk to you!</p><b><br>
Responsibilities</b><div><p><br>
As 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:</p><ul><li>
Envision, Design, implement, test, deploy, maintain, and improve our software components and services</li><li>
Develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs.</li><li>
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring.</li><li>
Embrace and use state-of-the-art new technologies</li><li>
Participate in technical discussions and bring new ideas on the table</li><li>
Own quality of your code</li><li>
Work with Product Managers, Architects and UX Designers to design and specify new features from the engineering standpoint</li><li>
Develop software that empowers customers to optimize their business processes</li><li>
Author internal tools that improve the teams&rsquo; quality and productivity</li><li>
Contribute to the positive, solution focused and creative team spirit</li><li>
Support less experienced team members in their progress and development</li></ul><p>
Throughout your tasks, you will work closely with Program Managers and other Software Engineers to optimize design, quality and functionality as Microsoft places a premium on the ability to work well in a team environment.</p></div><p></p><b><br>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><div><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 OR equivalent experience.</li></ul><p><b>
Other Requirements:</b><br>
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:<br>
<br>
<b>Microsoft Cloud Background Check</b>: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</p><p><b>
Preferred Qualifications:</b></p><div><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 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 OR equivalent experience.</li><li>
Experience in data pipeline, data modeling and analytics</li><li>
3+ years of professional and balanced full stack experience building cloud applications focused on front end and backend development using technologies like React/JavaScript/TypeScript/CSS/HTML and C#.</li><li>
Experience delivering Dynamics 365 and/or Power Platform solutions.</li><li>
2+ years of experience with GenAI, LLMs, or agentic systems</li><li>
Experienced in architecting, building, and maintaining UX component libraries that adhere to modern web standards.</li><li>
Experience with design and implementation of enterprise-scale services.</li><li>
Excellent verbal, written, and cross-team collaboration skills are essential to succeed in this role.</li><li>
A strong team player and collaborator, across time zones and diverse stakeholder groups.</li><li>
Passion for improving software quality and engineering excellence.</li><li>
Experience in developing, debugging, and supporting code in object-oriented languages and database querying languages.</li><li>
Experience with building infrastructure using Microsoft Azure technology like Service Fabric, App Service, Docker.</li><li>
Experience in developing and debugging product and test code within a micro-services architecture.</li></ul></div><p>
 #BIC</p></div><br>
<br>
<br>
<p>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.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

AI Software Engineer II

<div><b>Overview</b><br>
<div>
The <b>Customer Experience AI (CxAI)</b> group within Dynamics 365 is pioneering next-generation AI-powered customer experience solutions. We build intelligent, scalable, multi-modal contact center applications, leveraging conversational AI, large language models (LLMs), and predictive analytics. Our mission is to transform customer engagement through automation, personalization, and responsible AI practices, integrating Dynamics 365, Office 365, and Microsoft cloud services.</div><div>
</div><div>
We are looking for a <b>Software Engineer 2 - A</b>I to help us grow!</div><div><p>
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.</p></div><b><br>
Responsibilities</b><br>
<div><ul><li>
Design, develop, and deploy AI/ML models for customer interaction scenarios including chatbots, voice agents, and sentiment analysis.</li><li>
Integrate LLMs, Retrieval-Augmented Generation (RAG), and advanced analytics into customer service workflows.</li><li>
Collaborate with data scientists, AI researchers, and engineering teams to deliver innovative solutions.</li><li>
Ensure high reliability, scalability, and adherence to responsible AI practices.</li><li>
Monitor and improve model performance and customer outcomes.</li><li>
Troubleshoot live site issues and optimize AI-driven workflows.</li><li>
Work closely with Program Managers and cross-functional teams to deliver customer-centric features.</li></ul></div><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><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><p><b>
Other Requirements: </b>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:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p><b>
Preferred qualification:</b></p><ul><li>
Master&rsquo;s degree in Computer Science or a related technical field AND 2+ years of professional software engineering experience,<ul><li>
OR Bachelor&rsquo;s degree in Computer Science or a related technical field AND 3+ years of professional software engineering experience, including proficiency in one or more of the following languages: C, C++, C#, Java, JavaScript, or Python,</li><li>
OR equivalent practical experience.</li></ul></li><li>
3+ years of experience designing, building, and maintaining production services and web applications.</li><li>
2+ years of experience developing features using conversational AI technologies, including natural language processing (NLP) and speech systems.</li><li>
2+ years of experience working with large language models (LLMs) and retrieval‑augmented generation (RAG) architectures, including applying Responsible AI principles within established frameworks.</li><li>
Experience with model integration patterns such as prompt engineering, tool/function calling, and evaluation of LLM based systems.</li><li>
Working knowledge of search, retrieval, or vector databases used in RAG based solutions.</li><li>
Problem solving skills and a demonstrated ability to learn new technologies quickly.</li></ul><p>
#BICJOBS</p><p>
#CESJOBS</p><br>
<p></p>
<br>
<br>
<p>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.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Software Engineer 2 - AI

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 At Mojang Studios, the creators of Minecraft, we are on a mission to build a better world through the power of play.
 <br/>
 <br/>
 Why play? Well, play is at the heart of everything we do. It&rsquo;s the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlessly inspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence.
 <br/>
 <br/>
 We enable millions to create and play together, connect people across the globe, and foster a community that is among the most active and passionate in the world. Our community is global and incredibly diverse. When we are developing anything within our franchise, we keep this in mind. We want everyone to not only feel included in Minecraft, but also to see themselves in what we make. Our goal is for the Mojang Studios team to be as diverse as our community.
 <br/>
 <br/>
 The Senior AI/Machine Learning Engineer at Mojang Studios will support the strategy, development, and execution of AI products that will unlock increased productivity and advanced capabilities inside and outside of the game. This role will apply expertise in AI &amp; ML algorithms, frameworks, and architectures as well as data and cloud infrastructure knowledge to guide and build solutions for a variety of teams and data modalities across the studio. This is a critical role to executing our AI strategies across workflows, internal tools, and player experiences
 <br/>
 <br/>
 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
 <br/>
 <br/>
 In the end, it&rsquo;s the people of Mojang Studios that make this place truly special. When you join, you&rsquo;ll find yourself in the company of incredibly bright, warm, and creative individuals &ndash; all united and working toward a single goal. Come help us reach it!
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and productionize AI (Artificial Intelligence)/GenAI (Generative Artificial Intelligence) services and platform components for internal and player‑facing experiences across Minecraft and other titles.
  </li>
  <li>
   Create reusable AI building blocks and reference integrations to accelerate teams and drive studio‑wide AI enablement.
  </li>
  <li>
   Own cloud infrastructure &amp; MLOps (Machine Learning Operations): data pipelines, training/evaluation, deployment, monitoring, and operational support.
  </li>
  <li>
   Improve reliability, performance, and cost with guardrails, fallback paths, SLOs (Service Level Objectives), and actionable runbooks.
  </li>
  <li>
   Engineer for security, privacy, and compliance through secure data access patterns and threat modeling.
  </li>
  <li>
   Embed responsible AI principles (fairness, transparency, player safety) into system design and operations.
  </li>
  <li>
   Collaborate cross‑discipline to solve product problems and deliver measurable business/player impact; participate in design/code reviews and pair programming.
  </li>
  <li>
   Document and communicate: share learnings to upskill the studio and present findings/opportunities to leadership.
  </li>
  <li>
   Embody our Culture &amp; Values
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <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) 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) 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>
  <ul>
   <li>
    OR equivalent experience.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in AI/ML (Machine Learning) principles, frameworks, and tools (e.g., PyTorch, Generative AI, RAG (Retrieval-Augmented Generation), with experience in big data technologies like Spark (PySpark) and Databricks.
  </li>
  <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) 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) 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>
  <ul>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   Games industry knowledge
  </li>
  <li>
   Skilled in Python (C#/TypeScript a plus), modern dev practices (Agile, GitHub, Azure DevOps), and designing, deploying, and monitoring cloud infrastructure for AI systems.
  </li>
  <li>
   Familiar with multiple data modalities and ML domains: computer vision, audio, predictive modeling, NLP (Natural Language Processing), time series forecasting, graph networks, deep learning, and reinforcement learning.
  </li>
  <li>
   Verbal and written communication skills.
  </li>
  <li>
   Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <br/>
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 <br/>
 <br/>
 https://careers.microsoft.com/us/en/us-corporate-pay
 <br/>
 <br/>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 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
 <strong>
  requesting accommodations.
 </strong>
</div>


Senior AI/Machine Learning Engineer, Minecraft

<div><b>Overview</b><div></div><div><div><p><br>
As a <b>Senior Research Engineer</b> at Microsoft, you will advance Microsoft&rsquo;s mission to empower every person and every organization to achieve more. You will help build and integrate cutting-edge AI into Microsoft products and services within <b>Experience + Devices</b> (E+D) org, ensuring solutions are inclusive, ethical, and impactful. This role blends applied research, machine learning engineering, and product innovation. You will lead efforts to ship reliable, production-grade AI systems across the stack, from model development and fine-tuning to performance optimization and deployment.</p></div><div><p>
We are in an era of unprecedented AI innovation. As Microsoft leads the way in foundation models, multimodal systems, and AI agents, our goal is to build an open architecture platform where users can interact with tailored AI agents that drive tangible, real-world outcomes. As a Senior Research Engineer, you will:</p></div><div><ul><li><p>
Bridge the gap between state-of-the-art research and customer-facing features</p></li></ul></div><div><ul><li><p>
Drive systems-level innovation across models, infrastructure, and deployment</p></li></ul></div><div><ul><li><p>
Champion responsible AI by embedding fairness, safety, privacy, and performance from the ground up</p></li></ul></div></div><b><br>
Responsibilities</b><div><div><p><b><br>
Bringing State-of-the-Art Research to Products</b></p></div><div><ul><li><p>
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML</p></li></ul></div><div><ul><li><p>
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments</p></li></ul></div><div><ul><li><p>
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices</p></li></ul></div><div><ul><li><p>
Drive original research and thought leadership (whitepapers, internal notes, patents); convert insights into shipped capabilities</p></li></ul></div><div><ul><li><p>
Research Translation: Continuously review emerging work; identify high-potential methods and adapt them to Microsoft problem spaces</p></li></ul></div><div><p><b>
End-to-End System Development</b></p></div><div><ul><li><p>
ML Design &amp; Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops</p></li></ul></div><div><ul><li><p>
Identify and resolve model quality gaps, latency issues, and scale bottlenecks using PyTorch, or TensorFlow</p></li></ul></div><div><ul><li><p>
Operate CI/CD and MLOps workflows including model versioning, retraining, evaluation, and monitoring</p></li></ul></div><div><ul><li><p>
Integrate AI components into Microsoft products in close partnership with engineering and product teams</p></li></ul></div></div><div><div><p><b>
Data-Driven Innovation</b></p></div><div><ul><li><p>
Evaluation &amp; Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance.</p></li></ul></div><div><ul><li><p>
Learning Loop Creation: Operationalize continuous learning from user feedback and system signals; close the loop from experimentation to deployment.</p></li></ul></div><div><ul><li><p>
Experimentation &amp; E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data.</p></li></ul></div><div><ul><li><p>
Develop proofs of concept that validate ideas quickly at realistic scales</p></li></ul></div><div><ul><li><p>
Curate high-signal datasets, including synthetic and red-team corpora, and establish labeling protocols and data quality checks tied to evaluation KPIs</p></li></ul></div><div><p><b>
Cross-Functional Collaboration</b></p></div><div><ul><li><p>
Partner with software engineers, scientists, designers, and product managers to deliver high-impact AI features</p></li></ul></div><div><ul><li><p>
Translate research breakthroughs into scalable applications aligned with product priorities</p></li></ul></div><div><ul><li><p>
Communicate findings and decisions through internal forums, demos, and documentation</p></li></ul></div><div><p><b>
Responsible AI &amp; Ethics</b></p></div><div><ul><li><p>
Identify and mitigate risks related to fairness, privacy, safety, security, hallucination, and data leakage</p></li></ul></div><div><ul><li><p>
Uphold Microsoft&rsquo;s Responsible AI principles throughout the lifecycle</p></li></ul></div><div><ul><li><p>
Contribute to internal policies, auditing practices, and tools for responsible AI</p></li></ul></div><div><p><b>
Operating Altitudes</b></p></div><div><ul><li><p>
Paper level (ideas and math): Read, critique, and adapt the latest research; identify gaps; design methods with clear trade-offs and guarantees; communicate complex ideas clearly.<br>
Example: &ldquo;This objective is brittle under our data regime. Here is a tighter analysis and a revised loss we can test this sprint.&rdquo;</p></li></ul></div><div><ul><li><p>
Code level (implementation): Turn ideas into robust, tested, maintainable modules; integrate with CI/CD; profile and optimize for latency and throughput.<br>
Example: &ldquo;Refactored the prototype into a reusable PyTorch component, added unit tests and benchmarks, and cut P95 inference latency by 30%.&rdquo;</p></li></ul></div><div><p><b>
Specialty Technical Areas</b></p></div><div><ul><li><p>
Large-scale training and fine-tuning of LLMs, vision-language, or multimodal models</p></li></ul></div><div><ul><li><p>
Multi-agent systems, dialogue agents, and copilots</p></li></ul></div></div><div><div><ul><li><p>
Optimization of inference speed, accuracy, reliability, and cost in production</p></li></ul></div><div><ul><li><p>
Retrieval systems and hybrid architectures using RAG and vector databases</p></li></ul></div><div><ul><li><p>
ML for real-world data constraints such as missing data, noisy labels, and class imbalance</p></li></ul></div></div><b><br>
Qualifications</b><div><p><b><br>
Required Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering,</p><ul><li>
OR Master&rsquo;s degree and 3 or more years in applied ML or AI research and product engineering,</li><li>
OR PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms</li></ul></li></ul></div><div><p><b>
Other Requirements</b></p></div><div><p>
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:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></div><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
PhD in AI/ML or related field with top-venue publications and/or patents</p></li></ul></div><div><ul><li><p>
Experience with Microsoft&rsquo;s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG</p></li></ul></div><div><ul><li><p>
Familiarity with responsible AI evaluation frameworks and bias mitigation methods</p></li></ul></div><div><ul><li><p>
Experience across the product lifecycle from ideation to shipping</p></li><li><p>
Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow</p></li><li><p>
Experience deploying Fine Tuned LLMs or multimodal models in live production environments</p></li><li><p>
Experience shipping and maintaining production AI systems</p></li></ul><div>
#CXAJOBS</div><div>
#BICJOBS</div></div><br>
<br>
<br>
<p>Software Engineering 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.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Senior Research Engineer

NVIDIA

<div><div>We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling. In this role, you will characterize these emerging workloads and develop novel methods to optimize for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.</div><div></div><div>
As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude &mdash; qualities that fuel our collective success in shaping the future of datacenter technology.</div><div></div><div>
What You'll Be Doing:</div><ul><li><div>
Continuously keeping up to date on the latest advancements in generative AI research.</div></li><li><div>
Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.</div></li><li><div>
Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.</div></li><li><div>
Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.</div></li></ul><div><br>
What We Need to See:</div><ul><li><div>
Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.</div></li><li><div>
A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.</div></li><li><div>
A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.</div></li><li><div>
Growth mindset and pragmatic attitude.</div></li></ul><div></div><div>
Ways to Stand Out From the Crowd:</div><ul><li><div>
Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.</div></li><li><div>
Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.</div></li><li><div>
Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.</div></li><li><div>
Familiarity with computer architecture and how it relates to AI algorithms development.</div></li></ul><div><br>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until March 6, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Senior Deep Learning Engineer

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