Applied Scientist II
Redmond, Washington, United States
Full Time USD 94K - 198K
Microsoft
Are you looking for an opportunity to solve business-critical problems for Fortune-500 customers globally using cutting-edge AI and ML technology? Do you enjoy tackling technical challenges and producing innovative solutions to real-world problems? We are looking to hire an Applied Scientist II to come join the AI Platform team in Microsoft. You will be working along the best AI/ML engineering, science, and product talent in the industry and engaging with the largest, most complex customers and ISVs in the world.
Artificial Intelligence (AI) and Machine Learning (ML) is the explosive growth area in technology relevant to every business in every industry on the planet. In this golden age of AI, Microsoft is committed to bringing state-of-the-art technologies to customers in a responsible, secure, and scalable manner. The innovations in AI are helping enterprises fundamentally transform the face of business, and Microsoft is now a key player and a market leader in this industry.
The AI Platform organization at Microsoft has the charter to bring the best of our AI & Research assets, tools and cloud infrastructure, rich data, and trusted position together, to deliver AI and ML services and solutions to customers. The mission of the AI Customer Experience Engineering (CxE) team within the AI Platform organization is to co-innovate, incubate, and improve our core AI platform from scenarios utilizing Azure AI Services like Azure OpenAI/GPT, and Azure ML. We do so by building and infusing AI technologies in real world solutions and extending the signals from real world patterns to building robust, scalable AI platform services and products. To achieve this, we are co-innovating AI and ML powered solutions (rich APIs, ML models and end to end services) with our strategic ISVs and Enterprise customers, leveraging many other Azure technologies, including Azure core services and Python/C# microservices.
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
- You will help us build world class AI and ML solutions for our customers and partners involving Language Understanding & Generation, Speech, and similar areas involving technologies such as Azure OpenAI.
- You will build complete, highly performant, intelligent, ML models and solutions. The work requires ML DevOps experience and building ML frameworks for evaluation, benchmarking, and testing of Large Language Models (LLM).
- You will drive the creation of great enterprise products, and will collaborate and partner with other product teams, data scientists and engineers, and deal with ambiguity and complexity.
- Knowledge transfer to partners and community, as well as presenting to customers or at public events.
Other
Qualifications
Basic Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.
- 2+ years of practical experience in Machine Learning techniques & tools, as evidenced by prior projects.
- 2+ years of experience with software design and development using general purpose programming language (Python/Java/C# etc.) and knowledge of data pipelines.
Preferred Qualifications:
- Experience with GPT (Generative Pre-trained Transformer models), BERT (Bidirectional Encoder Representations from Transformers models or variants) and Natural Language Processing (NLP)
- Experience with Azure AI Services is preferred.
- Experience in dealing with ambiguity, and handling changes in customer requirements.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 May 28, 2024.
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
Tags: APIs Azure BERT Computer Science CX Data pipelines DevOps Econometrics Engineering GPT Java LLMs Machine Learning Microservices ML models NLP OpenAI Pipelines Python Research Statistics Testing Transformers
Perks/benefits: Career development Medical leave Team events
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