Senior Software Engineer, Machine Learning Operations

Key Skills

Aartificial intelligence, C# Programming, Machine learning techniques, MLOps tools, Python Programming, SQL

Job Description

We are redefining email and web security using the latest technology, unparalleled data and intelligence systems, and a collaborative and inclusive team culture. Join us and make a difference in our mission to empower everyone to communicate with confidence and trust!

We are looking for a Senior Software Engineer, Machine Learning (ML) Operations to strengthen day-to-day operation of our Machine Learning tech-stack.

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology, or related field AND 3+ years technical experience in software engineering, network engineering, service engineering, or systems engineering
• OR equivalent experience.
• 3+ years of experience as MLops, Data, or Service engineer 

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, Information Technology, or related field AND 8+ years technical experience in software engineering, network engineering, service engineering, or systems engineering
• OR equivalent experience.
• 3+ years technical experience working with large-scale cloud or distributed systems.
• Experience with building or supporting ML-based production systems consuming billions of events per day. 
• Demonstrated technical competencies with large-scale data processing tools.
• Experience of working on-call
• Proficiency with Python and SQL 
• Experience with C# is a plus 
• Security experience or desire to develop security expertise.

Service Engineering IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 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

#MSecR #MSFTSecurity 

Responsibilities

• Support day-to-day operation of ML-based email protection stack: maintain reliability, observability, and performance. This role requires being a part of the on-call team. 
• Resolve issues with services, minimize customer impact, and documents solutions that inform ongoing improvements and prevent the recurrence of similar issues.
• Share technical insights from operational experience with interdisciplinary team (DS, Mleng, Research and Response analytics) to strategically improve the tech stack through your learnings. 
• Drive operational efficiency of the stack by developing scripts and/or automation. 
• Partner closely with internal customers and teams to conduct root cause analyses, share end-to-end expertise in services, and to mitigate and resolve issues. 
• Build Machine Learning Operations (MLops), visualization, monitoring, and alerting data pipelines. 
• Assist with ML experimentation and building ML models and pipelines.