Job Information
Microsoft Corporation Senior Software Engineer in Redmond, Washington
The AI Platform organization at Microsoft builds the end-to-end Azure AI stack/PaaS and is core to Azure’s innovation and differentiation, as well as all of Microsoft’s flagship products, from Office to Teams, to Xbox.
Within AI Platform, the Azure ML team enables data scientists and developers to quickly and easily build, 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 and inferencing of LLMs. You will have the opportunity to work with cutting-edge technologies and ensure our platform is robust and scalable.
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. 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
Work on the architecture, design, and development of the core Training platform powering AzureML to tackle challenging problems in large scale training and inferencing LLMs, LVMs for various tasks such as natural language, text analytics, computer vision, conversational AI, and machine translation using state-of-the-art neural models such as Llama, Mistral, Phi etc.
You will bring knowledge of innovative technologies and collaborate with experts to further it.
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, test, inference for machine learning algorithms. 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 (https://careers.microsoft.com/v2/global/en/culture) and values (https://www.microsoft.com/en-us/about/corporate-values)
Qualifications
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
o OR equivalent experience.
Ability to debug, read code and work on a large and increasing codebase.
Engineering knowledge of machine learning systems
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.
Additional or Preferred 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 Python
o 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
o OR equivalent experience.
Proficiency in Python and relevant ML libraries (e.g.PyTorch, transformers).
Experience with transformer-based and diffuser-based models (e.g., Llama, Phi, Stable Diffusion).
Experience with or have good understanding of distributed training techniques such as data parallelism and model parallelism to optimize resource utilization and minimize bottlenecks.
Familiarity with optimizing inference experience for foundation models, including techniques to enhance performance, reduce latency, and improve resource utilization.
Effective communication and presentation skills.
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 July 15, 2024.
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .