Applied Scientist - Mountain View, United States - Microsoft

Microsoft

Verified Company

Mountain View, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

Join our team where understanding the customer is just the beginning. We dive into customer data, tackle customer problems, develop models to assess these issues, and collaborate with other teams to deploy machine learning models as features for customers. A problem-solving mindset and the ability to work across disciplines are crucial. Be committed to respecting user privacy and ensuring fair and unbiased models according to Microsoft's Responsible AI policies.

The PowerPoint team boasts mature development and engineering systems. Engineers benefit from rich telemetry, data-driven decisions, rapid experimentation, and a top-notch platform. Learn from an experienced management team and expand your career. With a rapidly growing portfolio, we tackle challenges of scale, performance, efficiency, and reliability to create exceptional storytelling software.

Microsoft's goal is to empower every individual and organization globally to achieve more. Embrace a growth mindset, innovate to empower others, and collaborate to achieve shared objectives. Uphold values of respect, integrity, and accountability to foster an inclusive culture where everyone can excel.

In line with our values, we strive to cultivate an inclusive work environment that positively influences our culture daily.

Responsibilities:

Develop and deploy a variety of ML techniques, emphasizing problem-solving over specific methods.
Create and deliver machine learning models to customers.
Collaborate with research teams on adopting the latest technologies.
Evaluate model impact and advise product teams on AI-powered experience designs.
Promote a healthy and inclusive team atmosphere, offer technical guidance to fellow applied scientists, and serve as a mentor.
Exemplify our Culture and Values.

Qualifications: Required Qualifications:

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experience.

Preferred Qualifications:

1+ years' experience with ML tools (e.g. PyTorch, TensorFlow, scikit-learn) for modeling and data analysis.
Knowledge of distributed/cloud computing systems (e.g. Spark, Hadoop, Azure, AWS, Cosmos).
Proven software engineering aptitude.
Deep Learning exposure is advantageous.
Strong communication skills for cross-disciplinary collaboration.
Dedication to customer satisfaction and quality.
Capacity to quickly grasp various Machine Learning domains like Computer Vision and Multimodal models.
History of delivering high-quality products at scale is beneficial.