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contract - engineer, data scientist (ntd) Jobs in Redmond

senior software engineer

Microsoft

<div><b>Overview</b><div><p><br>
Are you passionate about building intelligent, scalable systems that power next-generation AI experiences? The <b>Microsoft Copilot Studio </b>team within the <b>Business Industry Copilot (BIC) organization </b>is at the forefront of enabling makers and developers to build, publish, and manage copilots that extend across Microsoft 365 and beyond. We are looking for a strong Senior Software Engineer to join our team and lead the design and development of core capabilities in the Control Plane as part of the Publish, Sharing &amp; Channels areas of the product.</p><p>
As a <b>Senior Software Engineer</b>, you will play a pivotal role in shaping the architecture and execution of mission-critical services that enable seamless copilot lifecycle management, secure sharing, and multichannel publishing. You&rsquo;ll work closely with product, design, and partner teams across Microsoft to deliver high-impact features that empower users and scale across millions of tenants.</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><p></p><b><br>
Responsibilities</b><br>
<div><ul><li>
Lead architecture, design, and implementation of scalable, reliable, and secure services in the Copilot Studio Control Plane.</li><li>
Drive technical strategy and execution for publish, sharing, and channel integration experiences.</li><li>
Collaborate with cross-functional teams to define and deliver end-to-end scenarios that span Azure, M365, and Power Platform ecosystems.</li><li>
Mentor and guide engineers across the team, fostering a culture of technical excellence, inclusion, and continuous learning.</li><li>
Partner with PMs and leadership to align engineering investments with product vision and customer needs.</li><li>
Champion engineering best practices, including CI/CD, observability, and operational excellence.</li><li>
Partner with Data Science and AI experts to transform what it means to build AI-first SaaS.</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 4+ 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>
Experience with Power Platform, M365 extensibility, and conversational AI systems.</li><li>
Understanding of identity, access control, and secure service design.</li><li>
Communication and collaboration skills, with the ability to influence across teams and disciplines.</li><li>
4+ years experience in service development, successfully shipping software across multiple releases in a SaaS environment.</li><li>
Track record of technical leadership and delivering complex projects at scale.</li><li>
Proficiency in C#, .NET, or equivalent languages and frameworks.</li><li>
Experience with Azure or other cloud platforms.</li></ul><p><br>
#BICJOBS</p><p>
#MCSJobs</p><p>
#CopilotStudio</p><br>
<p></p>
<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 Software Engineer

<div><b>Overview</b><p><br>
Microsoft Clarity is a large scale user behavior analytics platform used by millions of websites to understand how users interact with their site. We are looking for a Full Stack Senior Engineer to help build and evolve Clarity&rsquo;s high performance analytics platform, owning data accuracy, coverage, and efficiency while designing systems that operate safely at internet scale.</p><p>
In this role, you will develop performance sensitive web and data platforms, build AI forward product experiences, and apply solid engineering fundamentals to deliver reliable, secure, and insight driven capabilities with minimal impact on customer sites. You will work closely with Product Managers, Designers, and Engineers to ship end to end features, influence architecture decisions, and raise the quality bar across the team.</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><p>
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.</p><b><br>
Responsibilities</b><br>
<ul><li>
Build and operate scalable, reliable, distributed services on Azure using modern frameworks and event-driven architectures.</li><li>
Apply solid JavaScript expertise to design and maintain efficient, reliable data instrumentation mechanisms that ensure accurate, performant, and privacy-conscious analytics with minimal impact on customer websites.</li><li>
Contribute to analytics data quality by improving the accuracy, coverage, and efficiency of data collection for features you work on, ensuring trustworthy insights while respecting performance and privacy constraints.</li><li>
Implement AI‑forward product features and use AI‑assisted engineering tools within the SDLC, applying solid engineering fundamentals to deliver reliable and secure outcomes with appropriate accountability.</li><li>
Participate in engineering excellence practices including design discussions, code reviews, testing, and operational readiness, helping improve system resilience with minimal customer impact.</li><li>
Collaborate closely with product team to ship end‑to‑end features, contribute to architectural discussions, and uphold a high quality bar.</li><li>
Embody our Culture and Values.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR equivalent experience.</li></ul></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:</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><br>
Preferred Qualifications:</b></p><ul><li>
Master's Degree in Computer Science or related technical field AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li><li>
OR equivalent experience.</li></ul></li><li>
2+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP</li><li>
Solid expertise in JavaScript / TypeScript, HTML, CSS and browser internals</li><li>
Solid understanding of web performance, accessibility, and cross‑browser compatibility</li><li>
Experience with Development &amp; Debugging with dev environments like Visual Studio or Visual Studio Code</li><li>
Familiarity with LLMs and AI ChatBots</li><li>
Prompt Engineering, Azure DevOps, GIT</li><li>
Solid problem‑solving skills and ability to work independently</li><li>
Experience in leading technical projects and supporting architectural decisions with data.</li></ul><p><br>
#MicrosoftAI</p><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 Software Engineer - Full Stack

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.<br>
<br>
We are seeking an exceptional Senior Software Engineer to lead our team in building the operational backbone of a revolutionary laser communication network connecting satellites in space and ground stations on Earth. This is a high-impact leadership role where you'll drive multiple concurrent projects that directly enable network operations at unprecedented scale.<br>
<br>
The Opportunity<br>
You'll architect and deliver mission-critical tools and services that power network operations for our dynamic space-based laser link infrastructure. Working in an environment where ambiguity meets innovation, you'll transform complex, evolving requirements into elegant, scalable solutions while mentoring and leading a team of engineers to execute your vision.<br>
<br>
What You'll Build<br>
Design and develop sophisticated multi-layered services that collect real-time telemetry from our satellite constellation, analyze network topology, and intelligently correlate data to identify and resolve faults. Your systems will automatically trigger remediation runbooks, escalate issues to appropriate teams, and leverage machine learning and generative AI to detect anomalies, perform root cause analysis, and predict customer impact before it occurs.<br>
<br>
What We're Looking For<br>
You bring proven experience architecting and delivering complex, distributed systems in production environments. As a full-stack engineer, you possess both the technical depth to build clean, maintainable back-end services and the product sensibility to create intuitive, actionable visualizations that operators can trust and understand at a glance. Your meticulous attention to detail manifests in every layer of the stack&mdash;from elegant API design and robust data pipelines to thoughtful UI/UX that transforms complex telemetry into clear operational insights.<br>
<br>
You excel at breaking down ambitious technical roadmaps into actionable milestones and have a track record of successfully onboarding and elevating junior engineers. Deep expertise in distributed cloud services and infrastructure-as-code principles is essential, as is the ability to thrive in high-ownership, high-accountability environments where your decisions directly impact mission success.<br>
<br>
Why This Role Matters<br>
Your work will be the operational nervous system of our space network&mdash;enabling seamless connectivity, ensuring reliability, and pushing the boundaries of what's possible in space-based communications.<br>
If you're passionate about solving hard problems at the intersection of space technology, distributed systems, and operational excellence, we want to hear from you.<br>
<br>
Export Control Requirement:
<br>
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.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead end-to-end automation initiatives as a team leader, developing sophisticated tools and services that address complex network operations, debugging, and troubleshooting challenges while guiding team efforts and priorities.</li></ul><br>
<ul><li>Collaborate with cross-functional teams to analyze network architecture, stakeholder requirements, and customer needs; architect and implement software solutions that deliver measurable business value.</li></ul><br>
<ul><li>Design and implement AI/ML solutions utilizing AWS services to enhance space network operations and problem resolution.</li></ul><br>
<ul><li>Drive data-driven decision making by developing and maintaining comprehensive network KPI (Key Performance Indicators) systems, including databases, dashboards, and visualization platforms for performance monitoring and reporting.</li></ul><br>
<ul><li>Provide technical leadership and mentorship as a team leader to software/network engineers through effective task delegation, project management, and onboarding programs to optimize team productivity and development cycles.</li></ul><br>
A day in the life<br>
As Senior Software Engineer, you begin your day by reviewing satellite network data, identifying anomalies, and formulating mitigation plans. You then analyze the performance metrics of the team's software tools/services, using these insights to guide your decision-making. Drawing on your deep expertise in distributed systems, cloud infrastructure, and DevOps, you lead cross-functional discussions to collaboratively design scalable architectures that automate data collection, analysis, and issue resolution. Throughout the day, you mentor junior engineers, align stakeholders, update project plans, showcasing your technical prowess, problem-solving skills, exceptional leadership to ensure the reliable operation of complex space satellite network.<br>
<br>
About the team<br>
The Optical Inter-Satellite Link (OISL) organization is responsible for the design, development, and manufacturing of critical hardware and software that makes laser links between satellites possible. We are rapidly expanding and developing a new Network Automation team. We are looking for a senior software engineer to join and lead our new team to develop novel software services that can automate fault finding based on satellite data, automate workflows and operational procedures, and use ML/AI to find and correlate anomalies in the space network, identify root causes, and predict customer impacts.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>8+ years of non-internship professional software development experience</li><li>6+ years of programming with at least one software programming language experience</li><li>6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>6+ years of designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications, tools, systems, and services using: Java, JavaScript, TS, Python, React, Angular, etc.</li><li>Experience with AWS services such as EC2, S3, SQS, SNS, Lambda, Kafka, DynamoDB and event-driven systems etc.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, REDMOND - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer, Amazon Leo OISL

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

<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

<div><b>Overview</b><div><p><br>
Microsoft is a company where passionate innovators come together to collaborate, envision what can be, and build what&rsquo;s next. Within the Office Suite Shared Experiences (OSSE) organization, we build largescale data platforms, experimentation systems, and shared service infrastructure that power critical Office and Copilot experiences used by hundreds of millions of users every day.</p><p>
We are seeking a <b>Principal Software Engineer</b> to provide technical leadership and architectural direction for our experimentation and insights platform. This role is responsible for designing, evolving, and scaling experimentation infrastructure and data systems that enable rapid, trustworthy decision making across Office and Copilot and requires specialized skills and experience for both architecting and designing experimentation systems, working with large data systems, and driving cross-organization initiatives.
</p><p>This is a senior technical leadership role with broad organizational impact. You will partner closely with engineering, product management, data science, applied science, and leadership teams to define long term architecture, influence cross organizational investments, and raise the technical bar for experimentation, reliability, and data driven engineering across Microsoft.</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 <b>Principal Software Engineer</b>, you will:</p><p><b>
Technical Leadership &amp; Architecture</b></p><ul><li>
Provide end-to-end architectural leadership for largescale experimentation and experimentation infrastructure used across Office and Copilot.</li><li>
Define and evolve long term technical strategy for experimentation platforms, data pipelines, and shared services, balancing innovation, reliability, cost, and developer productivity.</li><li>
Act as a technical authority and advisor across multiple teams, guiding system design decisions and resolving complex, ambiguous technical challenges.</li></ul><p><b>
Experimentation &amp; Data Platforms</b></p><ul><li>
Lead the design and scaling of experimentation systems, including assignment, metrics, analysis, and insight generation.</li><li>
Drive best practices for trustworthy experimentation, including data quality, metric definitions, statistical rigor, and observability.</li><li>
Design and operate largescale data systems leveraging ECS, Kusto, Cosmos DB, and SCOPE to support both real time and batch analytics.</li></ul><p><b>
Build, Operate &amp; Evolve Shared Services</b></p><ul><li>
Build and evolve high reliability, multitenant services that are foundational to experimentation, insights, and decision making.</li><li>
Ensure systems meet Microsoft level expectations for availability, performance, security, and operational excellence.</li><li>
Serve as a Designated Responsible Individual (DRI) when needed, setting standards for incident response, post incident learning, and operational maturity.</li></ul><p><b>
Cross Organizational Impact</b></p><ul><li>
Partner across Office, Copilot, and adjacent organizations to align experimentation strategy and infrastructure, reducing fragmentation and duplicative investments.</li><li>
Influence and drive cross organizational technical change, aligning teams around shared architecture, tooling, and standards.</li><li>
Mentor senior engineers and raise the overall technical bar through design reviews, technical deep dives, and coaching.</li></ul><p><b>
AI, Insights &amp; Innovation</b></p><ul><li>
Shape how AI/LLM driven insights are integrated into experimentation workflows to accelerate learning and improve engineering efficiency.</li><li>
Partner with PM, Applied Science, and Data Science teams to translate ambiguous business problems into scalable technical solutions.</li></ul><p><b>
Culture &amp; Values</b></p><ul><li>
Model Microsoft&rsquo;s culture and values, including inclusion, accountability, and a growth mindset.</li><li>
Lead through influence, technical credibility, and collaboration rather than direct authority.</li></ul><p>
Embody our culture and values.</p></div><b><br>
Qualifications</b><div><p><b><br>
Required Qualifications:</b></p><ul><li>
Bachelor's Degree in Computer Science or related technical field AND 6+ 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><li>
4+ years experience in experimentation infrastructure, including system design, metrics, analysis, and operational considerations.</li></ul><div><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:</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><p><b>
Preferred Qualifications:</b></p><ul><li>
Master's Degree in Computer Science or related technical field AND 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li><li>
OR equivalent experience.</li></ul></li><li>
Proven experience designing and operating largescale distributed systems and data platforms.</li><li>
Strong hands-on experience with Experimentation and Configuration Service (ECS), Kusto, Cosmos DB, and SCOPE in production environments.</li><li>
Demonstrated ability to provide technical leadership across multiple teams and influence architectural direction at scale.</li><li>
Experience driving cross organizational technical initiatives and influencing change beyond a single team.</li><li>
Experience with Azure Data Factory (ADF) or similar orchestration frameworks.</li><li>
Experience designing or integrating AI/LLM powered workflows into data or experimentation platforms.</li><li>
Track record of mentoring engineers and shaping engineering culture at scale.</li></ul></div></div></div><br>
<br>
<br>
<p>Software Engineering 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.
</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>

Principal Software Engineer - Office Suite Shared Experiences (OSSE)

<div><b>Overview</b><br>
<div>
Are you excited about building intelligent, scalable systems that power next-generation AI experiences? The <b>Microsoft Copilot Studio team </b>within the <b>Business Industry Copilot (BIC) organization </b>is at the forefront of enabling makers and developers to build, publish, and manage copilots that extend across Microsoft 365 and beyond. We are looking for a strong Principal Software Engineer to join our team and lead the design and <b>development </b>of <b>core capabilities </b>in the <b>Control Plane </b>as part of the <b>Publish, Sharing &amp; Channels </b>areas of the product.</div><div><br>
As a <b>Principal Engineer, </b>you will play a pivotal role in shaping the architecture and execution of mission-critical services that enable seamless copilot lifecycle management, secure sharing, and multichannel publishing. You&rsquo;ll work closely with product, design, and partner teams across Microsoft to deliver high-impact features that empower users and scale across millions of tenants.</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><ul><li><br>
Lead architecture, design, and implementation of scalable, reliable, and secure services in the Copilot Studio Control Plane.</li><li>Drive technical strategy and execution for publish, sharing, and channel integration experiences.</li><li>Collaborate with cross-functional teams to define and deliver end-to-end scenarios that span Azure, M365, and Power Platform ecosystems.</li><li>Mentor and guide engineers across the team, fostering a culture of technical excellence, inclusion, and continuous learning.</li><li>Partner with PMs and leadership to align engineering investments with product vision and customer needs.</li><li>Champion engineering best practices, including CI/CD, observability, and operational excellence.</li><li>Partner with Data Science and AI experts to transform what it means to build AI-first SaaS.</li></ul><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 6+ 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></div><div><b>
Additional or preferred qualifications:</b><div><ul><li>
Master's Degree in Computer Science or related technical field AND 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python</li><li>
OR equivalent experience</li></ul></li></ul></div></div><ul><li>
6+ years experience in service development, successfully shipping software across multiple releases in a SaaS environment</li><li>
Proven track record of technical leadership and delivering complex projects at scale</li><li>
Proficiency in C#, .NET, or equivalent languages and frameworks</li><li>
Experience with Azure or other cloud platforms</li><li>
Experience with Power Platform, M365 extensibility, and conversational AI systems</li><li>
Solid understanding of identity, access control, and secure service design</li><li>
Excellent communication and collaboration skills, with the ability to influence across teams and disciplines</li></ul><p>
#BICJobs</p><p>
#MCSJobs</p><p>
#CopilotStudio</p><br>
<br>
<br>
<p>Software Engineering 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.
</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>

Principal Engineer

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