Machine Learning Engineer II

Full Description

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. We are the team building Azure OpenAI, Azure ML, Cognitive Services, and the global Azure AI infrastructure for running the largest AI workloads on the planet.

Within AI Platform,our team in Evaluation AI is working on cutting-edge NLP and Deep Learning models and building the next generation model evaluation platform.

We are looking for a passionate, creative, analytical Machine Learning Engineer II who loves NLP, deep learning and wants to ship products quickly at a massive scale. We will provide a lot of opportunities for you to learn, grow and contribute.

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

As a Machine Learning Engineer II, you will:

• Work on architecture, design and development of the next generation of Azure AI’s evaluation platform.

• Work with other researchers, applied scientists, and machine learning engineers in the team to design and build the end-to-end pipelines covering model training, data analysis, model serving and model evaluation.

• Implement latest evaluation methods from published literature and methods in the industry.

• Drive new product features and evaluation metrics.

Other

• Embody our culture and values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

• 2+ years’ experience in coding with proficiency in python. 2+ years’ experience in machine learning, natural language processing, deep learning, or reinforcement learning.

• 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 Qualifications:

• Bachelor's Degree in Computer Science 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 Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

• 2+ years experience in deep learning library, such as Pytorch or tensorflow.

• Passion in deep learning models, and willing to collaborate with AI experts and engineers in the team.

• Proficient ML, statistics, and data science experience are a plus

Passion and experience to build large-scale AI models as general AI services to empower many organizations and people.

Software Engineering IC3 - The typical base pay range for this role across Canada is CAD $83,600 - CAD $159,600 per year.

Find additional pay information here:

https://careers.microsoft.com/v2/global/en/canada-pay-information.html

Microsoft will accept applications for the role until February 11, 2025.

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.