Microsoft Member Technical Staff AI - Multimodal 

United States, Washington 

955004978

some of the most challenging problems in deep learning at scale.

In particular, weare looking for candidates who:

• Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects.
• Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making.
• Have experience and/or in-depth understandings about large-scale distributed systems.
• Demonstrate an ability to work collaboratively in a fast-paced, innovative environment.

Required Qualifications:

• Bachelor's Degree in Computer Science,Machine Learning, Mathematics,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.

Preferred Qualifications

• Bachelor's Degree in Computer Scienceor related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• Master's Degree in Computer Scienceor related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
• OR equivalent experience.

• Demonstrated experience in large-scale AI.

• Passionate about conversational AI and its deployment.

• Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.

• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.

• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• evelopalgorithms, designmodel architectures, conductexperiments, championmeasurement and evaluation, innovatedatasets and data pipelines
• Improvetraining and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
• Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis
• Innovate and iterate over ideas, prototypes, and product.
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
• Advance the AI frontier responsibly
• Embodyourand