Senior Machine Learning Software Engineer

Microsoft
Cambridge
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Operations Specialist

Staff Engineer (ML-Native / Software Engineering)

Senior Software Engineer - AI & Machine Learning

Senior Machine Learning Engineer

Senior Software Engineer - AI & Machine Learning

Senior Software Engineer - AI & Machine Learning

Overview

In , 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.


is the research arm of , 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.

#Research #Microsoft Mesh

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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.