At a Glance
- Tasks: Accelerate Machine Intelligence research by designing and implementing ML solutions.
- Company: Join the innovative Research Engineering team at MSR Cambridge.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic, collaborative environment with a focus on high-quality engineering standards.
- Why this job: Make a real impact by turning research into products used by millions.
- Qualifications: Master's degree in Computer Science or related field; experience with ML models in PyTorch.
The predicted salary is between 70000 - 122600 £ per year.
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.
- 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
- 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.
Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge employer: Microsoft
At Microsoft Research Cambridge, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to push the boundaries of Machine Intelligence. With access to cutting-edge resources and a commitment to professional development, our team members are encouraged to grow their expertise while contributing to impactful research that reaches millions globally. Join us in a dynamic environment where your contributions will not only advance technology but also enhance your career in a supportive and inclusive setting.
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We think you need these skills to ace Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge
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