Software Engineer - Microsoft Research
Microsoft is at the forefront of frontier AI research, seeking a Software Engineer to collaborate with researchers to transform innovative ideas into scalable capabilities. This role involves designing and developing technology research projects while working cross-functionally to enhance AI tools and systems.
Responsibilities
- Translate research into systems: take early concepts and turn them into robust prototypes and product-ready components
- Design high velocity experimentation loops: datasets, evals, benchmarks, agent flows, safety tests, and decision frameworks
- Scale and optimize: training, inference, efficiency, latency, cost, reliability
- Partner cross functionally: coinvent with researchers, codesign with product teams, and land features that matter
- As a Research Software Development Engineer in Microsoft Research, you will design, develop, execute, and implement technology research projects in collaboration with other team members, research partners, and product groups
- Work with the team to identify, evaluate, and deploy new AI tools and technologies to accelerate our progress
- Embody our culture and values
Skills
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
- Ability to competently operate across an entire modern AI-centric software stack
- Adaptability to dive into a new domain quickly. Polyglot technology curiosity. Be a voracious learner of new languages, paradigms, tools, and techniques, consuming publications
- 1+ year(s) experience building agentic coding systems that operate at cloud scale using common agent protocols and coding frameworks
- Systematic use of benchmarking and other data-driven techniques to guide design and development
- Ability to thrive in the face of ambiguity, able to prototype starting with a research concept or paper rather than a spec. Be a thought partner and operate as part of a multidisciplinary team as we build prototypes quickly, fail fast, pivot, and adapt
- Experience with data science, machine learning (ML), Large Language Models (LLMs), Natural Language Processing (NLP), computer vision, multimodal input and processing, and software security
Benefits
- Certain roles may be eligible for benefits and other compensation.
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