At a Glance
- Tasks: Accelerate AI infrastructure research by designing and implementing innovative solutions.
- Company: Join Microsoft Research Cambridge, a leader in cutting-edge technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high-quality engineering and research publication.
- Why this job: Make a real impact on future AI systems used by millions worldwide.
- Qualifications: Masters or PhD in Computer Science; experience in software development and systems research.
Overview We are seeking a Systems Research Engineer to accelerate our Future AI Infrastructure research area. You will bring key skills and experience in operating systems, performance, distributed systems, CPUs, GPUs, and machine learning. Good systems research happens when you build things to uncover hidden assumptions – your implementation skills are at the heart of this. You will collaborate closely with researchers to identify, design and implement proof of concept solutions to some of the hardest future problems of AI infrastructure. You will partner with product teams to help land our research in a meaningful way, accelerating delivery of our lab’s research into shipping products used by millions of people world-wide. This role is within the Research Engineering team at MSR Cambridge. Our team has broad experience spanning front-end, systems, networking and ML engineering at datacentre scale. We work across all the research areas in MSR Cambridge, deeply embedded in research projects.
Responsibilities
- Combine strengths in computer systems research, and software engineering competence to contribute to the design and prioritisation of research activities.
- Build prototypes of future AI systems to demonstrate research value, in some cases bringing these prototypes all the way to product-level readiness.
- Evaluate research prototypes and help write up results to communicate outcomes clearly.
- Collaborate with researchers and product teams, helping with smooth technology transfer between them.
- Reinforce a positive environment by applying best practices and high-quality engineering standards.
- Gain deep expertise in one (or more) subareas of research, and general understanding of a broad area.
- Understand the relevant literature and applicable research techniques.
- Contribute to academic publication of research outcomes.
- Proactively ensure high standards of software security over research prototypes and library supply chains.
- Understand and follow ethics and privacy policies relating to research processes and data handling, as appropriate.
Qualifications
- Masters degree in Computer Science or related area, or equivalent training and experience in research.
- Proficient in collaborative software development in Python and lower-level languages.
- Experience with one or more of operating systems, performance analysis, distributed systems, CPU and GPU architecture, or machine learning systems.
- Experience of low-level systems and/or performance tuning trade-offs.
- Excellent communication skills in English, both written and spoken, including the skill to communicate technical results and justify assumptions to diverse technical audiences.
- Willingness and flexibility to operate in a highly agile and dynamic environment.
- Demonstrated ability to work within large codebases.
Preferred
- Doctorate (PhD) in Computer Science or related area, or equivalent training and experience in research.
- Experience of cluster-based distributed data processing techniques.
- Experience with the internals of machine learning systems.
- Demonstrated experience working within a multi-disciplinary team.
Senior Systems Research Engineer - Research Engineering - MSR Cambridge employer: Microsoft Corporation
At Microsoft Research Cambridge, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of AI infrastructure. With a strong emphasis on professional growth, we offer opportunities for continuous learning and development, alongside competitive benefits that support work-life balance. Join us in a vibrant location where your contributions will directly impact products used by millions globally, all while working with some of the brightest minds in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Systems Research Engineer - Research Engineering - MSR Cambridge
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Microsoft Corporation!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Systems Research Engineer - Research Engineering - MSR Cambridge at Microsoft Corporation.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Microsoft Corporation.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Systems Research Engineer - Research Engineering - MSR Cambridge at Microsoft Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Systems Research Engineer - Research Engineering - MSR Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Microsoft Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Microsoft Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Microsoft Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Microsoft Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
