san management c72n jobs in Microsoft

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Have experience in working side-by-side with researchers and engineers. Thrive in a fast-paced, innovative environment. Are passionate about managing high stakes time-sensitive large-scale programs. Take the initiative and enjoys finding paths through complexity in a fast-paced environment. Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress. Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies. Bachelor's Degree AND 6+ years experience in working with AI researchers, product/technical program management, data analysis, or product development 6+ years experience managing cross-functional and/or cross-team projects. Bachelor's Degree AND 10+ years experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience. 10+ years experience managing cross-functional and/or cross-team projects. Co-ordinate projects and programs including all elements of end-to-end project planning, timelines, milestones, performance metrics, and resource needs for programs and product cycles. Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics. Foster a culture of collaboration, continuous improvement, and growth. Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery. Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for the quality and efficiency function within the team. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837010436", "isPrivate": false}, {"id": 1970324837004357, "name": "Member of Technical Staff - Machine Learning", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York, NY, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1745361088, "t_create": 1736549423, "ats_job_id": 1970324837004357, "display_job_id": 1970324837004357, "type": "ATS", "id_locale": "1970324837004357-en", "job_description": "Leverage subject matter expertise to uncover and mitigate safety issues in consumer Copilot. Oversee data acquisition or generation efforts, ensuring that the data meets product needs. Generalize machine learning (ML) solutions into repeatable frameworks. Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need reexamining. 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 safety roadmap for Copilot, keeping in mind business and product goals. Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Experience prompting and working with large language models. Experience writing production-quality Python code. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Demonstrated interest in Responsible AI.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837004357", "isPrivate": false}, {"id": 1970324837004340, "name": "Member of Technical Staff - Post-Training", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747240626, "t_create": 1736530517, "ats_job_id": 1970324837004340, "display_job_id": 1970324837004340, "type": "ATS", "id_locale": "1970324837004340-en", "job_description": "Are passionate about shipping models into products that users will love; Will thrive in a highly collaborative, fast-paced environment; Have a high degree of craftsmanship and pay close attention to details; Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies; Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities. Bachelor's Degree in Computer Science, Machine Learning, Mathematics, 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 10+ 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 8+ 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 data collection, evaluation, and finetuning methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love. Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837004340", "isPrivate": false}, {"id": 1970324837004339, "name": "Member of Technical Staff, AI - Pre-Training", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747412124, "t_create": 1736529543, "ats_job_id": 1970324837004339, "display_job_id": 1970324837004339, "type": "ATS", "id_locale": "1970324837004339-en", "job_description": "Overview Help deliver one of the best foundational models in the world at Microsoft AI.\u00a0 At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.\u00a0 We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:\u00a0 Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects\u00a0 Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making\u00a0 Have experience and/or in-depth understandings about large-scale distributed systems\u00a0 Demonstrate an ability to work collaboratively in a fast-paced, innovative environment 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 Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations\u00a0\u00a0 Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack\u00a0\u00a0 Collaborate closely with teams on infrastructure, data, post-training, and multimodality\u00a0 Embody our  culture  and  values .\u00a0 Qualifications Required Qualifications Bachelor's Degree in Computer Science, Machine Learning, Mathematics, 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's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 OR 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\u00a0 OR equivalent experience.\u00a0 Demonstrated experience in large-scale AI.\u00a0 Passionate about conversational AI and its deployment.\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0\u00a0\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.\u00a0\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0\u00a0 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 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #Copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837004339", "isPrivate": false}, {"id": 1970324837004332, "name": "Member of Technical Staff, AI Product Engineer, iOS", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1744651137, "t_create": 1736525131, "ats_job_id": 1970324837004332, "display_job_id": 1970324837004332, "type": "ATS", "id_locale": "1970324837004332-en", "job_description": "Care deeply about building outstanding consumer-grade mobile applications. Build consumer grade applications for iOS. Ship high-quality, well-tested, secure, and maintainable code. 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. 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 developing mobile applications for iOS platforms with coding in languages including, but not limited to, Swift, Objective-C, or Java OR equivalent experience. Working knowledge of mobile application architecture, design patterns, and UI/UX principles. Contributions to open-source projects. Experience building iOS 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837004332", "isPrivate": false}, {"id": 1970324837004281, "name": "Member of Technical Staff, AI Product Engineer, Android", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1744651812, "t_create": 1736459210, "ats_job_id": 1970324837004281, "display_job_id": 1970324837004281, "type": "ATS", "id_locale": "1970324837004281-en", "job_description": "Care deeply about building outstanding consumer-grade mobile applications. Build consumer grade applications for Android. 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