Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge

Overview

We're seeking a hands-on ML Research Engineer to accelerate our Machine Intelligence research area. You work confidently across training, fine-tuning, inference and evaluation, at single- and multi-GPU scale, with strong data-pipeline, debugging and data-analysis skills. Working closely with researchers, you'll design, implement and validate proof-of-concept solutions to Machine Intelligence problems, then partner with product teams to land that research in 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 datacenter scale. We work across all the research areas in MSR Cambridge, deeply embedded in research projects.

Responsibilities

• Combine strengths in ML research and software engineering competence to contribute to the design and prioritisation of research activities.

• Build prototypes of ML systems to demonstrate research value, in some cases bringing these prototypes all the way to product-level readiness. You like getting things done.

• Evaluate research prototypes, and help write up results to communicate outcomes clearly.

• Collaborate with researchers and product teams, helping 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 standard 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

Required

• Master degree in Computer science or related area, or equivalent training and experience in research.

• Experience with modern ML model architectures in PyTorch.

• Proficient in collaborative software development in Python.

• Skills in data analysis and model evaluation.

• Experience of performance tuning in ML systems.

• Experience communicating 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.

Preferred

• Doctorate (PhD) in Computer Science or related area, or equivalent training and experience in research.

• Demonstrated ability to work in large codebases.

• Proficient in lower-level engineering skills (eg C/C++/Rust) or equivalent systems languages.

• Experience of cluster-based distributed data processing techniques.

Research Sciences IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.