Senior Machine Learning Software Engineer

Key Skills

Azure, C# Programming, C++, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Github, JavaScript, Python Programming, TypeScript

Job Description

Overview

In Microsoft Mesh, people are at the center of everything we do. Our technology aims at bringing people closer together from remote coworkers socializing, to building deeper connections to global leaders collaborating on the biggest challenges of our time, and everything in-between.

Mixed Reality & AI Lab is the research arm of Microsoft Mesh, and its main office is located in Cambridge, UK. We build the AI technology that powers Microsoft Mesh, spanning the presence spectrum from avatars, through holoported representations of people, to digitization of objects and environments, and spanning the product lifecycle from research prototypes to shipping products to millions.

A diverse, multidisciplinary team, we approach our work not just as an exciting technological opportunity, but as a responsibility to develop new mediums of 3D communication in an inclusive and ethical way.

We combine insights in computer vision, machine learning and graphics to understand the motion, shape, and appearance of a user, and recreate their likeness remotely. We guide our technological development by building human-centric experiences to ensure we design solutions that people will love to use. We collaborate very closely with design, art, engineering and program management teams to build best solutions for our customers and make for dynamic and joyful collaborations with colleagues!

If you are passionate about ground-breaking VR/AR/XR technology and want to work in a science team dedicated to a culture of inclusion, growth mindset and collaboration, we need you!

Qualifications

Required Qualifications:

• Bachelor's degree in Computer Science, or equivalent experience
• Proficiency in two or more high-level programming languages (Python, C#, Javascript, Typescript, C++, Rust)
• Demonstrated architecture and design skills.
• Experience working with computer vision, AI, machine learning, computer graphics code bases
• Experience in using Azure DevOps, GitHub Actions, or similar tools for CI/CD pipelines

Preferred Qualifications:

• Demonstrated ability to integrate end-to-end real time interactive systems
• Experience with shipping mobile, console, PC games, or social and gaming platforms
• Familiarity with Unity 3D, Unreal, or any other game engine
• Familiarity with employing natural user interfaces like speech, gesture, and gaze
• Experience developing AR/VR applications

We welcome talent from a wide range of backgrounds and we strive to create a respectful, inclusive environment where you can bring your best self and do your best work. If you're ready to work on the cutting edge of the industry with a passionate team, please apply with your resume and portfolio.

Responsibilities

As a Machine Learning Software Engineer at Mesh Labs you will mix your software engineering skills with cutting edge art, design, artificial intelligence, and hardware to build experiences for social presence in Mixed Reality. You will work closely with the science teams that delivered tracking and animation AI for Kinect, HoloLens, Avatars in Teams and Microsoft Mesh. You will:

• Collaborate with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a scenario
• Drive identification of dependencies and development of design documents
• Conduct experiments to determine most effective solutions
• Design the architecture of the science code and its integration with the product
• Implement new features
• Assure system architecture meets security and compliance requirements and expectations
• Work with a wider team to establish and propagate best practices for code development and testing

As needed, you will collaborate with our partners from design, cognitive science and game studios to redefine the meaning of virtual presence.

To excel at the role, you will need to be curious, comfortable dealing with the ambiguity of R&D work and take delight in learning new tools and techniques.