Member of Technical Staff, Data Research Engineer – MAI Superintelligence Team
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Responsibilities
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
- Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation
- Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Qualifications
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience
- Experience in data analysis or data engineering
- Proficiency in statistics and exploratory data analysis methods
- Ability to communicate technical findings effectively to research and product teams
- Master’s Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
- Experience working with large-scale, real-world datasets that are unstructured or semi-structured
Software Engineering IC5 – The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
Software Engineering IC6 – The typical base pay range for this role across United Kingdom is £ 119,100.00 – £ 178,700.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
Software Engineering IC5 – The typical base pay range for this role across Switzerland is CHF 183,800.00 – CHF 309,700.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/switzerland-corporate-pay.html
Software Engineering IC6 – The typical base pay range for this role across Switzerland is CHF 233,600.00 – CHF 350,400.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/switzerland-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff, Software Engineer
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We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you.
At Microsoft AI, data is at the heart of innovation—and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyse, and evaluate diverse multimodal data sources critical to model development. You’ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviours, and aligning datasets with ethical and societal values.
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
Microsoft’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.
Responsibilities
Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation
Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
Build lightweight tools and workflows for dataset auditing, visualization, and versioning
Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Qualifications
Required Qualifications:
Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
OR equivalent experience
Experience in data analysis or data engineering
Proficiency in statistics and exploratory data analysis methods
Ability to communicate technical findings effectively to research and product teams
Preferred Qualifications:
Master’s Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
Experience working with large-scale, real-world datasets that are unstructured or semi-structured
Software Engineering IC5 – The typical base pay range for this role across Switzerland is CHF 183,800.00 – CHF 309,700.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/switzerland-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Software Engineer II – Applied Sciences Group
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Overview
The Spatial AI Lab is part of Microsoft’s Applied Sciences Group, which develops next-generation human-computer interaction technologies using advances in AI, hardware, and device design. Our scientists and engineers specialize in computer vision, multimodal AI, spatial and embodied AI, robotics, and cloud services.
We are looking for a software engineer to develop intelligent systems and experiences for emerging agents. You will collaborate with scientists, engineers, students, and external research partners across applied research, rapid prototyping, and product development. The work may span AI models, robotics, hardware and software integration, developer tools, data and evaluation systems, and scalable product capabilities.
Our technical focus evolves frequently, so you should be comfortable with ambiguity, learning new technologies, and applying strong software engineering skills across research and product challenges. You may also collaborate with academic partners such as ETH Zurich, contribute to research publications and demonstrations, and mentor students.
Microsoft’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.
Responsibilities
- Design, implement, test, and maintain software for intelligent systems, prototypes, and product experiences.
- Collaborate with scientists, engineers, and students to translate research ideas and early prototypes into robust implementations.
- Develop and integrate components involving areas such as multimodal AI, computer vision, spatial computing, embodied AI, robotics, data processing, simulation, or hardware integration.
- Evaluate system behavior, investigate technical issues, and improve performance, reliability, and maintainability.
- Apply modern engineering practices, including code reviews, automated testing, documentation, security, privacy, and responsible AI.
- Contribute effectively in a multidisciplinary environment with evolving goals and technical requirements.
Qualifications
Required Qualifications:
Bachelor’s or Master’s Degree in Computer Science, Robotics, Engineering, or a related technical field OR equivalent experience.
Experience developing software in one or more programming languages, including but not limited to C++, C#, Python.
Ability to collaborate across disciplines and learn unfamiliar technologies.
Preferred Qualifications:
Experience in one or more relevant areas, such as AI or machine learning, computer vision, robotics, simulation, spatial computing, embedded systems, or distributed systems.
Experience integrating software with machine-learning models, sensors, devices, or other complex systems.
Experience taking experimental or research-oriented software toward a reliable and maintainable implementation.
Familiarity with modern development practices and tools, including automated testing, continuous integration, debugging, profiling, and AI-assisted engineering workflows.
Experience collaborating in research, academic, or multidisciplinary engineering environments.
Software Engineering IC3 – The typical base pay range for this role across Switzerland is CHF 119,200.00 – CHF 195,500.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/switzerland-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Principal Applied Scientist
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Overview
Frontier Tuning is a new product that aims to fine-tune large language models (LLMs) on tenant data, enabling task-specific agents and solutions. We are a small, nimble team that is advancing the state of the art of models in M365 Copilot. Come join our team and help transform the LLM experience in the enterprise.
We are seeking a Principal Applied Scientist with research and development skills and the desire to develop the cutting edge AI products that push technological boundaries. We are looking for candidates with interest and experience in designing, building and deploying AI products, working with the latest cloud and ML technology, willing to delve deep with customer data and generalize the learnings for the broader product.
We provide a nurturing environment to support passionate researchers and engineers in technology innovation. We seek candidates that excel in deep thinking, advanced development, and fast-paced entrepreneurial execution in a collaborative setting.
Microsoft’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.
Responsibilities
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Design, build, test, and deploy cloud-based AI applications.
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Build and deploy LLM-based agentic systems.
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Engage with customers to understand and address their pain points.
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Document experiments and communicate results across the team.
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Mentor early in career team members.
Qualifications
Minimum Qualifications:
- 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.
- 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.
- 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 live production systems, as part of a product team.
- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
Applied Sciences IC5 – The typical base pay range for this role across Switzerland is CHF 183,800.00 – CHF 309,700.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/switzerland-corporate-pay.html
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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