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Software Engineer II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, C++, C#, Java, JavaScript, Data Extraction, Model Deployment, Inference Frameworks, Modeling, Research, Algorithms, System Design, Throughput Optimization, Latency Optimization, Resource Consumption

Industry

Software Development

Description

Bring new technology and approaches into production by applying long-term research efforts to solve product needs. Evaluates and compares externally available techniques and algorithms, helping keep our own internal efforts honest. Researches and develops an understanding of tools, technologies, and methods being used in the community that can be utilized to improve current modeling and inference architecture and implementation. Partners directly with inference engine deployment teams, helping them design and build systems meeting demanding combined throughput, latency and resource consumption targets. Leverages and design and use Machine Learning for data extraction, refinement and improvement, optimizing data value for use in training new models. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: 1+ year(s) of team-oriented software development experience. 1+ year(s) experience with Python 1+ years experience in .Net, Rust, or C++ development 1-2+ years of direct experience working with modern Machine Learning frameworks (Pytorch, Jax, Julia) and deploying models into inference frameworks.

Responsibilities

The Software Engineer II will bring new technology and approaches into production by applying long-term research efforts to solve product needs. They will partner with inference engine deployment teams to design and build systems that meet demanding throughput, latency, and resource consumption targets.