Microsoft Senior Software Engineer 

Taiwan, Taoyuan City 

731641232

is looking for ato be a part of the fastSoftware Engineer witha track recordin Cloud Service development to come help us develop and light up innovative hardware solutions that powers Azure and make our world-class cloud infrastructure even betterTo be successful in this role, you must have a greattrack rec, an engineering mindset, an innate aptitude for agility, and technical excellence in software engineering.

Required Qualifications

• Bachelor's Degree in Computer Science,Computer Engineeringor 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.
• 3+ years of industry experience with common ML engineering programming languages and platforms, suchasPython, ML Stack, Synapse.
• 4+ years of hands-on experienceonworking in large scale systems, designing and coding on mission critical scalable distributed systems and running live sites.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications

• Development of core fundamental global scale data pipeline services.

• Solid data engineering and ML experience with large language models.
• Proven track record of building, deploying, and optimizing large-scale AI/ML models in real-world applications.
• Understanding of hardware and devices, or familiarity with OS and Firmware health and error reporting.

• High tolerance to ambiguity and ability make progress when situations are in flux.

• Experience in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency.

• Experience working with large language models / multi-billion parameter models, focusing on their efficient training and online inference

• Familiar with e2e machine learning development cycle, from model measurements / training/ evaluation to optimization/deployment, etc.

• Experience in one of these training frameworks:Pytorch,Tensorflow, etc., and LLM is a plus.

• Experience in big data mining, familiar with Hadoop/Spark is a plus.
• Experience working in collaborative teams and cross-group efforts.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• A/B analysis, create andvalidatemetrics, develop ML pipeline and modeling algorithminInformation Retrieval and Machine Learning

• the technique needed and develops analytic models to understand complex business issues andprovidedata-driven insights by integrating statistical inference, Machine Learning modeling,AIand/or other advanced analytical methods to manage, classify and analyze complex data from a variety of sources.

• Perform data analysis using a variety of analytical tools (Python, KQL,MLStudio, Synapse, Power BI, Fabricetc), andinterpretresults with actionable recommendations.

• Define & measure the success/impact of requested analytics & reporting features via quantitative measures.

• Lead the development ofcutting-edgemodelsbased on Hardware Telemetry. Leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems.

• highly available, fully secure,accurateand actionable results based on hardware health signals, policies, and predictive analytics.

• identifyopportunities to build new AI-based solutions to improve engineering efficiency across development, validation, monitoring, and live support.

Other:

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