Senior Machine Learning Engineer - Viva Glint

Key Skills

Aartificial intelligence, C Programming, C# Programming, C++, Effective communication skills, Java Programming, JavaScript, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, SQL, TensorFlow

Job Description

What is Viva

Microsoft is embarking on a new effort to address the growing needs of employees around the world. We are building a product suite designed to address the fundamental shift in how people work, build their career, and find meaning in their workplace.

Employee engagement is undergoing a fundamental shift in response to economic, demographic, and societal changes. People want to be excited about their work, be connected to their company culture, understand how to succeed, and feel supported across a spectrum of onboarding, skilling, coaching and mentoring. Our team is dedicated to examining the employee journey and delivering software and services to make it better.

What is Viva Glint

Viva Glint is a premier employee engagement platform, working with over 1,000 leading companies in more than 150 countries to improve the health of organizations through real-time employee feedback. Glint blends AI technology and people science to power predictive insights that help human resources, leaders, and managers quickly make sense of engagement data, connect insight with outcomes, and take meaningful action.

Today’s employees are looking to be part of an inclusive and supportive culture, inspired by their leaders, and connected to their work and each other. Companies that excel at understanding the needs of their people, and enable their managers to respond in meaningful ways, see 2.5 times higher profit, 3 times lower attrition, and 3 times lower burnout.

The Glint product recently joined Microsoft as part of the Employee Experience (EXP) organization, which includes Viva Glint, Viva Learning, Viva Pulse and the Viva Horizontals teams. We run as a start-up, encouraging team members to share a sense of “founderism.” Team members engage directly with customers, iterate rapidly, and focus on solving the needs of employees around the world. Our culture is inclusive and casual. Our team celebrates diverse backgrounds, and values passion for serving our customers. Our team has a strong sense of accountability and provides its members with opportunities for learning and career growth.

We are looking for a Senior Machine Learning Engineer with a demonstrated understanding of natural language processing and with practical expertise in building large-scale ML products. The ideal candidate will have a real bias for action, take ownership, and thrive on autonomy and deliver results.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Demonstrated ability to productionize models

Preferred Qualifications:

• BS/MS/PhD in Computer Science or a related discipline
• 6+ years of building production scale ML models
• Experience with Natural Language Processing and Pytorch/Tensoflow
• Proficiency in Python, SQL
• Desire to be hands-on and help invent the future of AI
• Demonstrated problem solving, planning, and communication skills
• Knowledge of Java/ C++/C# is a plus

Software 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

Responsibilities

• Build & maintain machine learning and big data production pipelines to support advanced AI/ML solutions
• Collaborate closely with Product and Engineering to design, develop and deploy new solutions that support strategic business priorities
• Contribute to every phase of the product development life cycle (design, development, testing, iteration, deployment)
• Lead in conducting technology proof of concept projects
• Provide guidance and support to less experienced colleagues