Microsoft Applied Sciences Group is looking to develop and implement ML algorithms and deep neural network (DNN) models for next-generation hardware products, focusing on large language models (LLMs), natural language processing (NLP), speech, and computer vision to create new user experiences.
Requirements
- 1+ years of experience training/fine tuning AI/ML models, preferably LLMs/SLMs (small language model).
- 1+ years' experience with productization or shipping ML and/or AI components for large-scale internet applications.
- Demonstrated experience with deep learning techniques (e.g., Transformers, RNNs, CNNs, reinforcement learning) and machine learning frameworks (Python, PyTorch, TensorFlow, ONNX).
- Experience working with multimodal data and models (e.g., text, vision, speech, structured signals) and/or retrieval-augmented generation (RAG).
- Experience creating or deploying evaluation frameworks that drive model improvement, data synthesis, or system-level design.
- Solid background in applied research with ability to translate evaluation insights into new models, end-to-end solutions, and research directions.
- Proficiency with C/C++ or other performant programming languages a plus.
Responsibilities
- Design and operationalize robust evaluation metrics for multimodal embeddings, retrieval-augmented generation (RAG) pipelines, and agentic systems that combine reasoning, planning, and action.
- Shape the direction of agentic architectures, new model designs, and applied research initiatives through an evaluation-driven approach.
- Analyze multimodal data and interpret human and human-object interactions.
- Develop and implementing the ML algorithms and deep neural network (DNN) models.
- Design and implement evaluation frameworks to measure the performance of multimodal embeddings, RAG pipelines, and agentic systems.
- Use evaluation insights to drive data synthesis, augmentation, and collection strategies that improve coverage and robustness.
- Build pipelines to test algorithms and models, analyze the results, and translate findings into actionable improvements.
Other
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
- If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
- Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
