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Work collaboratively with our iOS, Android engineers, Product Managers, platform engineers, data scientists and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement. Build secure and performant APIs that power Copilot iOS and Android apps. Work collaboratively with our iOS, Android engineers, Product Managers, platform engineers, data scientists and marketing to take ambiguous projects that drive user growth, engagement, and retention. 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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 OR 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 OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 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Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. 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 customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang OR equivalent experience. Experience leveraging generative AI technologies to develop innovative and user-focused product features. 4+ years' experience building APIs and creating pipelines for large-scale products 4+ 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. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. 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. 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Conduct cutting-edge research around AI personality and model behavior, leveraging techniques such as synthetic data generation and reinforcement learning to fine-tune responses. Develop and optimize post-training methods, enhancing AI performance beyond initial training phases. Design and implement scalable AI models, contributing to model architecture, data curation, training & inference infrastructure, and evaluation protocols. Collaborate across teams to integrate new AI capabilities into real-world products, ensuring seamless deployment and user adoption. Overcome roadblocks and find solutions to rapidly iterate and deploy improvements, getting AI-powered experiences into the hands of users quickly. Work in a design-driven, product-focused environment, balancing technical excellence with usability and real-world impact. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, Python, C, C++, C#, or TypeScript OR equivalent experience. Experience applying, evaluating, and/or training large language models (LLMs). 3+ years experience developing and deploying live production systems, as part of a product team. 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 AI. 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Embody our culture of collaboration, innovation, and excellence. Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Machine Learning, Mathematics, or related STEM fields and 4+ years of experience in coding in languages including, but not limited to, C, C++, C#, Rust, Java, or Python Experience with large-scale software systems and infrastructure. Demonstrated interest in reinforcement learning, language modelling, generative modelling, or related domains. 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#, Rust, Java, or Python OR equivalent experience. Background in machine learning research. Experience with large scale distributed AI systems. Ability to work collaboratively in a fast-paced, innovative environment.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007239", "isPrivate": false}, {"id": 1970324837006629, "name": "Member of Technical Staff, AI - Multimodal", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 1, "department": "AI Research Team (9M6I)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1755286549, "t_create": 1738699916, "ats_job_id": 1970324837006629, "display_job_id": 1970324837006629, "type": "ATS", "id_locale": "1970324837006629-en", "job_description": "Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects. Exhibit solid analytical skills, attention to detail, and a commitment to data-driven decision-making. Have experience and/or in-depth understandings about large-scale distributed systems. Demonstrate an ability to work collaboratively in a fast-paced, innovative environment. 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 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 OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines. Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone's attempts whether successful or not. Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis. Innovate and iterate over ideas, prototypes, and product. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback. Advance the AI frontier responsibly. 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Your expertise will help us create robust and scalable platforms that drive innovation and efficiency. Design, develop, and maintain platform-level software solutions. Collaborate with cross-functional teams to integrate AI capabilities into various products. Ensure the reliability, scalability, and performance of platform components. Stay updated with the latest advancements in AI and engineering. Work alongside the technical staff and AI researchers to improve model development flows. Embody our Culture and Values. Bachelor's degree in computer science, or related/equivalent technical discipline AND 4+ years technical engineering experience building and scaling web services, APIs, and products. OR equivalent experience. Deep experience with Python AND at least one of the following: Golang, Java/Scala, Typescript (React, Next.js) 4+ years' experience in building and releasing production software at the platform level. Strong knowledge of APIs, data flows, systems, and services. Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to: Python, Golang, Java/Scala, Rust 6+ years' experience in building and releasing production software at the platform level. Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js) Experience in model pretraining, post-training, evaluation, and inference Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Experience going from zero-to-one as well as working with developed systems. 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This role is pivotal in aligning cross-functional initiatives, managing business rhythms, and ensuring seamless execution of strategic priorities across engineering and product domains.\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. By applying to this U.S.\u202fMountain View, CA\u202fposition, you are required to be local to the San Francisco area and in office 3 days a week. Responsibilities Partner closely with Copilot Engineering and Product leaders to drive strategic planning, execution, and alignment.\u00a0 Lead and manage business rhythms including leadership meetings, all-hands, and planning cycles.\u00a0 Drive cross-functional initiatives and ensure\u00a0timely\u00a0execution of key priorities.\u00a0 Serve as a trusted advisor and thought partner to leadership, enabling clarity and focus.\u00a0 Manage communications and change management across the organization.\u00a0 Support organizational health efforts, including culture, inclusion, and team effectiveness.\u00a0 Coordinate with finance,\u00a0Human Resources, and other support functions to ensure operational efficiency.\u00a0This includes\u00a0Position Control Number (PCN)\u00a0and\u00a0Headcount (HC)\u00a0management\u00a0\u00a0as well as\u00a0communication\u00a0to hiring managers.\u00a0 Lead special projects and initiatives that span engineering and product teams.\u00a0 Qualifications Required Qualifications Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+\u00a0years experience\u00a0in\u00a0financial management, business planning, operations management, strategy, project management, human resources, or business-related roles OR equivalent experience.\u00a0 Proven experience in Chief of Staff, program management, or strategic operations roles within technical or product organizations.\u00a0 Proven\u00a0understanding of engineering and product development processes.\u00a0 Exceptional communication, collaboration, and organizational skills.\u00a0 Ability to\u00a0operate\u00a0in a fast-paced, matrixed environment with multiple stakeholders.\u00a0 Demonstrated ability to lead cross-functional initiatives and drive alignment.\u00a0 Experience with strategic planning, business operations, and executive communications.\u00a0 Passion for technology, innovation, and building inclusive teams.\u00a0 Preferred Qualifications Master of Business Administration Degree in relevant field (e.g., Engineering) Proven experience with excel (spreadsheets)\u00a0 Business Management M6 - The typical base pay range for this role across the U.S. is USD $130,900 - $277,200 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 $165,600 - $303,600 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 Microsoft will accept applications for the role until September 30, 2026.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030457", "isPrivate": false}, {"id": 1970324837030422, "name": "MTS - Data Engineering  ", "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": 1755043723, "t_create": 1755037625, "ats_job_id": 1970324837030422, "display_job_id": 1970324837030422, "type": "ATS", "id_locale": "1970324837030422-en", "job_description": "Overview If you've ever watched a massive data pipeline process billions of records without breaking a sweat, felt genuine satisfaction debugging a business critical schema migration, or gotten excited about shaving milliseconds off pipeline latency then you're in the right spot. We're looking for the best data engineers. Data engineers who have built and scaled data systems that others depend on, who take pride in delivering rock-solid data quality, and who genuinely enjoy the craft of data engineering. If you're the type of person who celebrates when your monitoring dashboards show all green and gets energized by the challenge of making data flow seamlessly across complex systems, this role is for you.\u00a0 Join us to architect and implement the data backbone that powers Copilot for millions of users worldwide. You'll own the full data lifecycle - from building lightning-fast ETL pipelines that handle massive scale to crafting experimentation frameworks that drive product decisions. We need someone who thrives on solving complex data challenges, loves collaborating with brilliant teammates, and gets genuinely excited about building infrastructure that just works. In our fast-paced environment, you'll have the freedom to innovate and the support to build world-class data products that make a real impact.\u00a0 By applying to this position, you are required to be local to the San Francisco area or Redmond area and in office 3 days a week.\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. Responsibilities Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations.\u00a0 Design and maintain high throughput, low latency experimentation reporting pipelines that enable data scientists and product teams to measure model performance and user engagement.\u00a0 Own data quality initiatives including monitoring, alerting, validation, and remediation processes to ensure data integrity across all downstream systems.\u00a0 Implement robust schema management solutions that enable quick and seamless schema evolution without disrupting downstream consumers.\u00a0 Develop and maintain data infrastructure that supports real-time and batch processing requirements for machine learning model training and inference.\u00a0 Collaborate with ML engineers and data scientists to optimize data access patterns and improve pipeline performance for model evaluation workflows.\u00a0 Design scalable data architectures that can handle growing data volumes and evolving business requirements.\u00a0 Implement comprehensive monitoring and observability solutions for data pipelines, including SLA tracking and automated alerting.\u00a0 Partner with cross-functional teams to understand data requirements and translate them into efficient technical solutions.\u00a0 Qualifications Required Qualifications Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering  OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering  OR equivalent experience. Experience building and maintaining production data pipelines at scale using technologies such as Apache Spark, Kafka, or similar distributed processing frameworks.\u00a0 Experience writing production-quality Python, Scala, or Java code for data processing applications.\u00a0 Experience building and scaling experimentation frameworks.\u00a0 Experience with cloud data platforms (Azure, AWS, or GCP) and their data services.\u00a0 Experience with schema management and data governance practices.\u00a0 Preferred Qualifications Experience with real-time data processing and streaming architectures.\u00a0 Experience with data orchestration frameworks such as Airflow, Prefect, Dagster or similar workflow management systems. Experience with containerization technologies (Docker, Kubernetes) for data pipeline deployment.\u00a0 Demonstrated experience with data quality frameworks and monitoring solutions.\u00a0 Data 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. Data Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. 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We are creating unique, beautiful and powerful products that will change lives. We are proud of what we build, how we build it and that our products will define the AI era. It is a time of huge change in the AI landscape, and this role will put you right in the heart of it. As a Program Manager for Responsible AI, you will work closely with teams across Microsoft considering all aspects of AI safety, governance and risk, ensuring that our principles and commitments are met in a timely and product-first manner. This role, based within a highly agile interdisciplinary team, will allow you to grow and further your deep understanding of all aspects of AI development and deployment both within Microsoft and beyond. By applying to this U.S. Mountain View, CA position or Redmond, WA, you are required to be local to the San Francisco area OR Redmond, WA area and in office 3 days a week. 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 achieve our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities: As a Program Manager for Responsible AI, you will: Work as part of a fast-growing, interdisciplinary team of Responsible AI practitioners and with cross-functional teams in the day-to-day delivery and development of Copilot, ensuring that Microsoft\u2019s Responsible AI principles and practices are satisfactorily embedded. Partner closely with colleagues in the Office of Responsible AI and Microsoft\u2019s Corporate, External and Legal Affairs (CELA) team to develop, refine and apply innovative governance processes, responsive in part to a dynamic technical and regulatory landscape. Serve as a liaison between technical and non-technical stakeholders to ensure shared understanding of Responsible AI objectives. Develop and deliver training materials and resources to support Responsible AI awareness and adoption.\u00a0 Develop, implement and improve governance programs and processes to ensure that specific requirements and standards are met throughout the development lifecycle (e.g., quality, compliance, privacy, security, safety, accessibility). Answer technical questions on the multiple feature areas you own, including problem-solving to achieve responsible AI in relation to product features. Required Qualifications: Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. Additional or Preferred Qualifications: 6+ years of experience managing cross-functional and/or cross-team projects. 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos). Technical Program Management 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. Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0 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. 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You may be responsible for developing new methods to train agentive LLM capabilities, evaluating LLMs, and new user-facing features in Copilot. You should be comfortable create Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to support the Copilot experience. We\u2019re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class consumer experiences and products in a fast-paced environment. By applying to this U.S. Mountain View, CA position or Redmond, WA, you are required to be local to the San Francisco area OR Redmond, WA area and in office 3 days a week. 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. Responsibilities: Leverage subject matter expertise to improve model quality for interactive and agentive experiences in consumer Copilot. Oversee data acquisition or generation efforts, ensuring that the data meets product needs. Generalize machine learning (ML) solutions into repeatable frameworks. Lead evaluation efforts of models deployed within Copilot. Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions. Independently write efficient, readable, extensible code and model pipelines. Contribute to defining the model quality roadmap for Copilot, keeping in mind business and product goals. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, and building AI products that delight customers. Required Qualifications: 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 OR equivalent experience. 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Experience prompting, evaluating, and working with large language models. Experience writing production-quality Python code.\u00a0 Preferred Qualifications Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products). OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products). OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction). Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience). 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