At the core of the AI revolution lies data: Machine learning is used to create software artifacts from data. This data is valuable and requires careful management. Azure Data is the world leader in data management and processing with products such as SQL Server, Azure HDInsight, and Azure Synapse. 

We are expanding our Azure Synapse team to bring together the best in big data management and machine learning. We work with and contribute to state-of-the-art open-source packages, including Apache Spark, Koalas, Pandas, Dask, sklearn, MLFlow, TensorFlow, and PyTorch. We combine those with our own tech tobuild secure, reliable, scalable, and high-performance machine learning platforms. With our platforms, we strive to enable our customers to follow the principles of responsible AI: Fairness, Inclusiveness, Reliability & Safety, Privacy & Security, Transparency, Accountability. 

To support these ambitions, we are growing our distributed team across 4 locations: Washington State, Serbia, China, and India. We also work closely with teams across Microsoft, including Microsoft Research, Azure ML, and our own Gray Systems Lab. We strive for an open, collaborative environment where equal participation from every location is possible. To do so, we apply best practices from open-source development to our own work style.  

Responsibilities

As an engineer, you will help us realize the vision above in many ways: 

• Design and develop high performance machine learning platform for cloud offerings.
• Design and develop machine learning experiences on distributed computing platform, such as Apache Spark and the Apache Hadoop stack.
• Work with various open-source technologies and make contributions to these technologies.
• Solve hard technical challenges in machine learning and distributed computing.

Qualifications

• BE/ME degree in computer science or related field.
• Excellent collaboration and communication skills.
• 3+ years of experience in machine learning, deep learning, high performance computing, or distributed big data systems.
• 5+ years of software design and development experience in Python, Java, Scala, C#, or C/C++.
• Experience with distributed machine learning systems (e.g., Apache Spark ML, Horovod or Dask) as well as big data systems (e.g., Apache Spark, Hadoop, Kubernetes) is a plus. 

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. 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.