copilot p0ps jobs in redmond washington united states

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Conduct ad hoc analysis to understand metrics and user behavior changes. Statistical Analysis: Perform power analysis and experimental inference to ensure the validity and reliability of experiments. Data Analysis: Utilize SQL and Python to pull and analyze data quickly, providing insights into user behavior and experiment outcomes. Collaboration: Work closely with partners to ensure robust telemetry and instrumentation and with feature teams to design and implement experiments. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Strong background in statistics, economics, or a related field. Proficiency in SQL and Python. Experience with online A/B testing. Ability to conduct power analysis and experimental inference. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Experience in a similar role within a data science or analytics team. Familiarity with telemetry and instrumentation frameworks.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837025737", "isPrivate": false}, {"id": 1970324837113462, "name": "MTS, Copilot Prompt Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1759891249, "t_create": 1759852471, "ats_job_id": 1970324837113462, "display_job_id": 1970324837113462, "type": "ATS", "id_locale": "1970324837113462-en", "job_description": "Chain-of-thought experience: prompting techniques that guide AI systems through reasoning processes A novel prompting discovery: a really interesting challenge that you've solved in a creative way Scaled implementation: you've shipping prompted systems that work reliably at production scale with diverse user populations Evaluation design: you've built robust testing frameworks to measure AI behavior against goals User-centric approach: Proven understanding of how prompting decisions impact the lived experience of people who interact with AI Effective written communication skills: able to convey complex information clearly, concisely, and effectively for various audiences Comfort with ambiguity in an exponentially growing space Bachelor's Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years of experience with large language models. An understanding of conversation design or product design. Familiarity with both quantitative metrics and qualitative assessment methods. Experience with personalization systems that adapt to individual user needs. Adversarial prompting experience or conducted some unhinged experiments. Design & develop prompting techniques for emotional and intellectual use cases Establish frameworks for AI companions to navigate complex social and ethical situations with nuance and care Create evaluations to measure both technical/practical performance and non-deterministic performance like EQ Teach others prompting techniques and ways-of-working to elevate the prompting skill throughout the team Research & implement novel prompting techniques Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113462", "isPrivate": false}, {"id": 1970324837113552, "name": "Member of Technical Staff, Web Product Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1759953438, "t_create": 1759944413, "ats_job_id": 1970324837113552, "display_job_id": 1970324837113552, "type": "ATS", "id_locale": "1970324837113552-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on  copilot.microsoft.com , Edge Browser and Window OS. You\u2019ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it\u2019s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.\u00a0 Microsoft\u2019s 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.\u00a0\u00a0 Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities In this role, you will:\u00a0 Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future\u00a0 Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world\u00a0 Design and build efficient and reusable front-end systems that drive complex web applications\u00a0 Plan and deploy front end infrastructure necessary to build, test, and deploy our products\u00a0 Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.\u00a0\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR Master's Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React\u00a0 OR equivalent experience.  Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.\u00a0 Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.\u00a0 Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.\u00a0 Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.\u00a0\u00a0 Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There 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. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113552", "isPrivate": false}, {"id": 1970324837113464, "name": "Member of Technical Staff, Android Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1759957049, "t_create": 1759854193, "ats_job_id": 1970324837113464, "display_job_id": 1970324837113464, "type": "ATS", "id_locale": "1970324837113464-en", "job_description": "Overview Microsoft AI is looking for a talented Android engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We\u2019re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Native Engineering team is responsible for leading and building the core experience of Copilot on iOS and Android, while collaborating with our Product Management, Design and AI Research teams.Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. Microsoft\u2019s 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.  Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Care deeply about building outstanding consumer-grade mobile applications. Build consumer grade applications for Android. Ship high-quality, well-tested, secure, and maintainable code.\u00a0 Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle. Embody our\u202f Culture\u202f and\u202f Values . Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing mobile applications for Android platforms with coding in languages including, but not limited to, Kotlin, or Java OR equivalent experience. Working knowledge of mobile application architecture, design patterns, and UI/UX principles. Preferred Qualifications Contributions to open-source projects.\u00a0 Experience building Android applications from scratch. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There 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. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113464", "isPrivate": false}, {"id": 1970324837018427, "name": "Member of Technical Staff - Copilot AI Web Engineering Manager", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1759716599, "t_create": 1751056107, "ats_job_id": 1970324837018427, "display_job_id": 1970324837018427, "type": "ATS", "id_locale": "1970324837018427-en", "job_description": "In this role, you will: Hire, manage and lead a team of web engineers responsible for the quality and performance of Copilot's web products Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world Design and build a performant front-end infrastructure that drives multiple complex web applications Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with web technologies including, but not limited to, Typescript and React 3+ years people management experience. Bachelor's Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Typescript and React OR equivalent experience. 6+ years people management experience. Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off. Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture. Have strong opinions about best investments to make in establishing the most delightful and performant web engineering system.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837018427", "isPrivate": false}, {"id": 1970324837113466, "name": "MTS - Platform Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760041536, "t_create": 1759861919, "ats_job_id": 1970324837113466, "display_job_id": 1970324837113466, "type": "ATS", "id_locale": "1970324837113466-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014\u202fto build systems that have true artificial intelligence\u202facross agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 Microsoft AI (MAI) is seeking experienced Platform Engineers to help build the next wave of capabilities of our personal AI, Copilot. We\u2019re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in backend technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Platform Engineering team is responsible for building APIs that support our work in finetuning and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research teams.\u00a0 Microsoft\u2019s 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.\u00a0 By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area and in office 3 days a week \ufeffStarting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java\u00a0 OR equivalent experience.\u00a0 6+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.\u00a0 6+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.\u00a0\u00a0 Experience working with AI platforms, frameworks, and APIs. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.\u00a0\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Responsibilities Build secure and performant AI Platform services that power Copilot.\u00a0 Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values . Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.is. #MicrosoftAI #Copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837113466", "isPrivate": false}, {"id": 1970324837116756, "name": "Member of Technical Staff, Applied Scientist - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760117828, "t_create": 1760036938, "ats_job_id": 1970324837116756, "display_job_id": 1970324837116756, "type": "ATS", "id_locale": "1970324837116756-en", "job_description": "Overview The Windows Copilot team is at the forefront of redefining how AI enhances everyday computing. This team owns the full stack\u2014from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows. We\u2019re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it\u2019s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all. We are hiring an Applied Scientist to lead the end-to-end model-building process, including problem understanding, data curation, model development, deployment, and iteration based on real-world feedback. This role will serve as a critical bridge between Microsoft Research and the engineering team, taking increasing ownership of model training responsibilities. Microsoft\u2019s 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. By applying to this U.S. Redmond, WA\u00a0position, you are required to be local to the Seattle area in office 3 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Develop and refine data pipelines and infrastructure to support AI model development for Copilot.\u00a0 Collaborate with research teams to integrate cutting-edge AI advancements into production systems.\u00a0 Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.\u00a0 Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.\u00a0 Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot\u2019s intelligence.\u00a0\u00a0 Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.\u00a0\u00a0 Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.\u00a0 Embody our\u00a0 Culture and\u00a0 Values .\u00a0\u00a0 Qualifications Required Qualifications Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research)\u00a0\u00a0 OR equivalent experience.\u00a0 Proven track record of deploying machine learning models in large-scale production environments.\u00a0 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.\u00a0 Preferred Qualifications Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)  OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)  OR equivalent experience. Proven track record of deploying machine learning models in large-scale production environments.\u00a0 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.\u00a0 Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There 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. Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837116756", "isPrivate": false}, {"id": 1970324837015568, "name": "Member of Technical Staff, Client Engineer - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760120256, "t_create": 1747089845, "ats_job_id": 1970324837015568, "display_job_id": 1970324837015568, "type": "ATS", "id_locale": "1970324837015568-en", "job_description": "Design and develop client applications and components to support Copilot experiences. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Overcome obstacles to deliver work quickly and iteratively to users Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment 4+ years' experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement. Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, Kotlin, Swift OR equivalent experience. Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc. Experience working with AI platforms, frameworks, and APIs. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders. 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