About the Microsoft:
Microsoft Corporation is an American multinational technology company which produces computer software, consumer electronics, personal computers, and related services. Its best known software products are the Microsoft Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. Its flagship hardware products are the Xbox video game consoles and the Microsoft Surface lineup of touchscreen personal computers.
Microsoft ranked No. 21 in the 2020 Fortune 500 rankings of the largest United States corporations by total revenue.
Microsoft Campus Details:
| Company Name | Microsoft |
| Name of Post | Software Development Engineer |
| Qualification | BA/BBA/Bcom/Bsc/Bcs/Bca/BE/B.Tech |
| Batch | 2019, 2020, 2021, 2022, 2023 Batch |
| Experience | 0-2 year |
| Job Location | Bengaluru |
| Salary | Not disclosed |
| Last date to apply | 19 January 2023 |
| Official Website | www.microsoft.com |
Job Description:
Responsibilities of the Candidate:
- Work closely with mentors at MSR in collaboration with product groups in the US and India.
- Get publications in top-tier conferences.
- Get publications on shipping the algorithms into production to improve the productivity and experience of hundreds of millions of users worldwide.
Requirements:
- Good knowledge of data structures and algorithms with a strong implementation background in C, Python, Tensorflow/PyTorch, SQL, etc., with lots of experience in carrying out experiments and empirical research.
- Background in machine learning, deep learning and/ or distributed systems for working on large-scale machine learning problems and delivering both academic and real-world impact.
- Experience with writing multi-threaded/ high-performance code with C/ C++.Passion for building and maintaining great products that benefit hundreds of millions of people worldwide through research.
- Willingness to take risks and deal with research uncertainties
Preferred Skills:
- Familiarity with linear algebra, probability, statistics and optimization.
- Familiarity with recommender systems, web search, online advertising and/ or dense retrieval Familiarity with large language models, pre-training, large-scale fine-tuning, distillation contrastive learning, negative sampling, approximate nearest neighbor search, etc.
Selection process:
- Online Application Submission
- Shortlisting test- Aptitude/Technical/Coding test
- Interview
- Get Offered
How to Apply for the above post:
- Step 1: Click on the below link & Apply for the post.
- Step 2: Fill the application form & Submit.
- Step 3: Concern team will review the application & communicate for next process.
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