Member of Technical Staff (AI)

TL;DR

Member of Technical Staff (Multimodal): Building and optimizing one of the world’s most advanced foundation models with an accent on pushing boundaries of scale, performance, and deployment for frontier AI systems. Focus on developing algorithms, designing model architectures, conducting rigorous experiments, and innovating data pipelines for human-aligned superintelligence.

Location: Mountain View, United States. Employees are expected to work from a designated Microsoft office at least four days a week if living within 50 miles (U.S.) of the location.

Salary: USD $188,000 – $304,200 per year (for Software Engineering IC5 in San Francisco Bay area and New York City metropolitan area)

Company

Microsoft AI is a startup-like team within Microsoft, aiming to build ultra-capable, safety-aligned AI systems that amplify human potential.

What you will do

• Develop algorithms, design model architectures, conduct experiments, and innovate datasets and data pipelines.
• Improve training and deployment efficiency with meticulous attention to detail and scientific analysis.
• Innovate and iterate over ideas, prototypes, and products.
• Collaborate closely with infrastructure, data engineering, pre-training, post-training, and product teams.
• Advance the AI frontier responsibly, embodying company culture and values.

Requirements

• Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline.
• 4+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Experience with large-scale AI systems, distributed architectures, multimodal or conversational models, ML frameworks (PyTorch, TensorFlow), and cloud/HPC environments (Azure).
• Expertise in data engineering for foundation models, including multimodal dataset design, curation, annotation pipelines, and Responsible AI principles.
• Background in LLM interaction and deployment, prompt engineering, safety-aligned evaluation, and integration of conversational AI into production systems.
• Strong analytical skills, attention to detail, and a data-driven approach to decision-making.

Culture & Benefits

• A culture of inclusion, respect, integrity, and accountability.
• Opportunity to work within a startup-like team inside a large corporation.
• Chance for models to reach billions of users and create immense positive impact.
• Emphasis on a growth mindset, innovation, and collaboration.
• Access to comprehensive benefits and compensation as per Microsoft standards.