The world is evolving -- we are looking for enthusiastic and creative thinkers and doers to join us to meet the challenge of delivering well-crafted intuitive solutions and products that meet the needs and beyond of a changing world.

Responsibilities

• Build AI/ML based differentiated features for Designer product.
• Provide hands-on technical leadership: design, analytics/modeling, code reviews, development, quality assurance, observability, and live site. Uphold data engineering and data science best practices new methodologies, technologies, industry trends and open sources.
• Build relationships with partners within Microsoft to bring innovation to new and existing products. Act as an AI expert and thought leader, including the creation of vision/strategy, white papers, conference papers, blogs etc, and including presenting at conference, internal/external AI meetings etc.
• Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
• Provides feedback, drives improvement, and shares knowledge as a data science expert.
• Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
• We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.
  
  

Qualifications

The ideal candidate would have:

• 8 years of professional experience designing, developing, testing, and shipping software.
• MS/ Ph.D. in Computer Science, Electrical Engineering or related disciplines.
• Recent experience with relevant projects in Generative AI, Computer Vision and Video AI
• Fluency in C# and Python preferred.
• Experience with statistical modeling and deep learning especially with frameworks such as PyTorch, Tensorflow or Keras.
• Effective communication skills and ability to work cross-group and across disciplines.
• Excellent skills in design, debugging and problem solving.
• Passion for customers, innovation, product quality, service excellence and test engineering.