Software Engineer 2 - AI and Machine Learning

Join the Bing Places Team at Microsoft

Do you want to contribute to one of the fastest growing and most exciting areas in Microsoft's AI organization? We are the Bing Places team, and we are on our journey to build the best AI-driven platform to power new experiences involving hundreds of millions of businesses and places around the world.

Role Overview

We are looking for a Software Engineer 2 to join our team and help innovate and evolve the consumer search space. In this role, you will work on large-scale data and machine learning projects and develop the core service infrastructure to build new product experiences. You will join our diverse team of passionate software engineers and applied scientists to collaborate on product feature releases. You will be able to learn and accelerate your career growth while building products that impact millions of users daily.

Responsibilities

• Drive projects from design through implementation, experimentation, and finally shipping to our users.
• Work on building and applying fine-tuned language models and multi-modal models to scale experiences globally in multiple languages.
• Develop state-of-the-art services to improve information retrieval and generate new content experiences to power new product features used by millions of users worldwide every day.
• Work in a diverse geographically distributed team environment where collaboration and innovation are valued.
• You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our technology.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science / Engineering, Mathematics, Electrical or related field AND considerable similar industry-related experience in a software engineering role.
• OR Master's Degree in Computer Science / Engineering, Mathematics, Electrical or Computer Engineering, or related field industry experience.
• OR equivalent experience.
• Considerable industry experience coding in (but not limited to) C++, C#, C, Java, or Python.

Preferred Qualifications

• A Bachelor’s/Master’s/Ph.D. degree in Computer Science / Computer Engineering, Mathematics, Electrical Engineering, or other related technical areas.
• Experience in applying deep learning techniques and/or drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc).
• Experience with common machine learning, deep learning frameworks like Pytorch/Tensorflow.
• Experience building complex distributed systems.
• Large scale data engineering skills.
• Ability to communicate technical details clearly across organizational boundaries.
• Ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation).
• Experience with shipping internet scale, low latency, and high throughput systems AI products.
• Self-driven, results-oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions, and celebrate successes.
• Customer/End-result/Metrics driven in design and development.
• Keen ability and motivation to learn, enter new domains, and manage through ambiguity.

Why Microsoft?

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances.