Senior Software Engineer

No detailed description available.

• Conduct A/B analysis, create and validate metrics, develop ML pipeline and modeling algorithm in Information Retrieval and Machine Learning.
• Determine the technique needed and develop analytic models to understand complex business issues and provide data-driven insights by integrating statistical inference, Machine Learning modeling, AI and/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, Fabric etc.), and interpret results with actionable recommendations.
• Define & measure the success/impact of requested analytics & reporting features via quantitative measures.
• Lead the development of cutting-edge models based on Hardware Telemetry. Leverage and advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems.
• Take an active role and partner with internal peer teams and external partners to ensure highly available, fully secure, accurate and actionable results based on hardware health signals, policies, and predictive analytics.
• Partner with stakeholders across the team to identify opportunities to build new AI-based solutions to improve engineering efficiency across development, validation, monitoring, and live support.

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

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect