Senior Software Engineer

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit of thinking in a cloud-enabled world.

AI is the strategic bet for Microsoft. The Azure AI Platform is right at the front end. Our project involves cutting edge technologies and problems. Joining the projects you will gain knowledge and experience about generative AI, large language model, transformers, GPU optimization, AI applications, etc. The AI business is also growing rapidly, and our products will directly face the impact of the large number of customers, which is continuously growing.  

Within the AI Platform, the Azure ML team enables data scientists and developers to build quickly and easily, train, deploy, manage, and consume machine learning models.  

Our Azure Machine Learning Training Team is at the forefront of this mission, working on groundbreaking projects for training / customizing OSS models. We collaborate closely with research institutions, industry leaders, and organizations worldwide to create innovative solutions that impact millions of users.

As a Senior Software Engineer on our team, you will be instrumental in driving the development of our training platforms. You will work on the architecture, design, and development of the core Training platform powering AzureML to tackle challenging problems in large scale training of LLMs, LVMs for various tasks such as natural language, text analytics, computer vision, conversational AI, etc. 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world

Required / Minimum Qualifications

• 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 
  • OR equivalent experience. 
• Ability to debug, read code and work on a large and increasing codebase.  
• Experience with building internet-scale services and distributed systems. 
• Knowledge of Engineering and machine learning systems. 
• Passion for machine learning, artificial intelligence, and data science. 
• Experience mentoring other developers, working partners and being a team player.  

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.

Preferred / Additional Qualifications  

• 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  
  • 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. 
• Proficiency in Python programming skills and familiarity with containers. 
• Experience with or have a good understanding of large-scale distributed training techniques to optimize resource utilization and minimize bottlenecks. Knowledge of DNN architecture and experience using deep learning frameworks like PyTorch or Tensorflow. 
• Experience with large-scale ML training and/or finetuning or customization of Generative AI models. 
• Experience with cloud-based ML platforms such as Azure ML, AWS SageMaker, or Google Vertex AI.

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.

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 February 7, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#AIPLATFORM#

As a Senior Software Engineer in our team, you will:      

• Work on the architecture, design, and development of model customization for foundation models, ensuring they meet customer requirements and expectations.  
• Stay up-to-date with the latest advancements in ML and AI technologies to continuously improve the training and customization process.  
• As a contributor in a customer-obsessed team, you will collaborate with data scientists and other developers on the team to create the necessary abstractions, infrastructure, interfaces and implement features to train ML models.   
• You will also be working on scaling these features for big data using distributed systems.   
• You will drive the incorporation of these customer-inspired innovations into our software. You will take holistic ownership of your features. 

Embody our culture and values