Artificial Intelligence H-1B1 Singapore Sponsorship Jobs in New York

Overview

Core AI is at the forefront of Microsoft’s mission to reinvent how software is built. We believe that in the future everyone will be a builder and CoreAI is creating the platforms, tools, and experiences that empower every builder to shape the future with AI.

The CoreAI organization brings together Microsoft’s industry‑leading developer products (such as GitHub and VSCode) with the world’s largest selection of cutting‑edge AI models and tools through Microsoft Foundry. By unifying this ecosystem, we enable developers and enterprises to build intelligent, adaptive, and transformative applications faster and more confidently than ever before.

Our team is also responsible for the trust and safety foundations that ensure everyone can build AI responsibly. We are innovating across the entire stack to help every builder create trustworthy, safe, and reliable AI experiences that scale—from prototype to planetary workloads.

The Responsible AI Group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks in AI-generated and human-generated content spanning text, image, audio, video, and multimodal content. We innovate across the entire stack to help every builder create trustworthy AI that scales.

We are looking for a Member of Technical Staff who is truly AI-native—someone who experiments constantly, builds with modern AI tools for fun, and delivers impact through rapid iteration cycles. In this role, you'll shape and ship high-performance, highly available AI services that enable people to build and use AI responsibly.

What We’re Looking For

• A builder who lives and breathes AI—you regularly prototype, experiment, or ship features using modern AI tools, frameworks, and model APIs.
• Experience working with generative AI systems (e.g., LLMs, diffusion models, multimodal models), including prompt engineering, evaluation, or fine-tuning.
• Hands-on experience with AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude Code).
• Familiarity with Responsible AI and security concepts or strong interest in learning them deeply.
• Experience working in fast-paced, experimental environments (startups, prototypes, or incubation teams).
• Comfort with taking ideas from ambiguous beginnings to production, iterating fast with customer insights.

Responsibilities

• Prototype, build, and iterate on new Responsible AI tools and capabilities that make it simple for developers to build and deploy AI responsibly at scale.
• Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.
• Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and share knowledge with other engineers.
• Work effectively in a fast-paced product environment where rapid prototyping, tight feedback loops, and iterative learning are core to how we build.

Qualifications

Required Qualifications

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications

• Demonstrated track record of high-impact innovation, open-source contributions or publications.
• Experience working on safety, alignment, or Responsible AI.
• 6+ years of technical engineering experience designing and delivering highly available, large-scale cloud services.
• 4+ years of technical engineering experience with machine learning models.
• Ability to navigate the company, and influence and inspire peers in engineering and broad product development.

Compensation

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

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.