Software Engineer II - Machine Learning - MSAI at Microsoft

We need strong talent to improve our results. This is a rare opportunity to join an exceptionally strong team where you can see an immediate impact through your contributions.   Our office is a truly multi-cultural environment with people coming from many different European countries, the U.S. and other continents. You will work with world class data scientists and engineers. Success in this position requires a broad set of experiences and skills, ranging from fundamental data structures and algorithms, interest in working on cutting edge machine learning and AI problems, coding skills and the ability to build a collaborative working relationship with other team members.

Responsibilities

• You will work with a team of applied scientists and developers who are responsible for all stages of the research & development cycle including early ideation, design, implementation.
•  Develop distributed systems to run ML models in production at high-scale
• Develop optimizations to improve runtime of DNN models
• Improve distributed system reliability by instrumenting code and analyzing metrics
• You will have the opportunity to participate in frequent hackathons that allow you to work with many different teams from around the world.
• Contributing to an inclusive and collaborative environment, with local and remote partners, to turn requirements into simple, elegant, and optimal solutions at large scale.
• Be part of discussions on architectural design and solutions, continuously striving to improve customer experience and efficiency.
• You will internalize and champion Microsoft’s culture and values

Qualifications

Required:

• Bachelor and/or graduate degree in computer science, engineering, mathematics or related field, or equivalent experience.
• Proficient design, coding, testing, and debugging abilities in any object oriented programming language of your preference such as Java, C++, C#
• Proven technical problem-solving skills.
• Demonstrates focus on quality throughout the development process
• Has a confident, solution- and result oriented working style combined with constructive critical thinking.
• Interest or prior experience with engineering Machine Learning based solutions
• Grounded in a growth mindset, advocate for inclusion and diversity, and strong self-awareness

Preferred:

• Experience with MLOps
• Good knowledge of statistics
• Experience in designing and developing distributed systems