ML Software Engineer Jobs at Microsoft with Visa Sponsorship
Microsoft builds some of the most ambitious ML systems in the industry, and its engineering teams actively recruit global talent for these roles. The company has a well-established sponsorship process for ML Software Engineers, covering multiple visa pathways and long-term immigration support.
See All ML Software Engineer at Microsoft JobsOverview
Showing 5 of 65+ ML Software Engineer Jobs at Microsoft jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 65+ ML Software Engineer Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer Jobs at Microsoft.
Get Access To All JobsOverview
Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals from Idea-to-Plan-to-Done.
Our team is responsible for collaborative Work Management products including Microsoft Project, Planner, To Do, and Visio. With Project and Planner, we help customers collaborate effectively to navigate complexity, determine critical paths, and orchestrate their plans to achieve more. With To Do and Tasks, we help customers capture, prioritize, and complete their aspirations and goals along their path to success. With Visio, we help customers model and conceptualize information pathways through process diagrams, organizational charts, and more to visualize what it is and what it can be. Collectively, we're responsible for an incredible portfolio of products and services that help guide people and organizations along their journey to achieve more. Microsoft, being a leader in AI space, we are heavily investing in building new AI tools, agents, skills, and MCP servers.
The Principal Software Engineer - AI, ML for our team will operate as a senior technical leader shaping the AI foundations that power Microsoft Path org’s products and platforms at a global scale. This role acts as a strategic and hands-on engineer that works across Core AI, Data Scientists, Software Engineers, Data Engineers, and Product Managers while bringing in deep Machine Learning expertise for supervised and unsupervised learning. As we pivot to build AI-first platforms, this engineer is expected to embed AI-native thinking into delivery models, apply and fine-tune ML algorithms for personalization, and build intelligent, scalable, and innovative solutions to solve customer problems.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. By integrating the power of generative AI with tools for workflow management you will directly contribute to that mission empowering customers to achieve at a pace and scale beyond what has previously been considered possible.
Responsibilities
AI-first Technical Leadership
- Solve complex challenges in distributed systems and help shape the vision for agentic, AI-powered work management.
- Architect and implement core features for the Task and Work Management platform. Ensure secure, high-quality product delivery, overseeing system architecture and code quality.
- Lead end-to-end delivery of complex projects with AI-powered solutions that are scalable, robust, and aligned with customer needs as well as business outcomes that support millions of customers and requests per second.
- Embed AI-first mindset into design, development, testing, and developer tooling to streamline SDLC delivery workflows, leveraging automation and agent orchestration.
- Drive engineering excellence through reusable components, accelerators, code generators, and scalable architecture.
- Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and security & privacy compliance requirements.
- Collaborate with internal stakeholders and external partner teams to define architecture, integration points, delivery plans, milestones, and risk mitigation approaches.
- Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes.
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:
- Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Design and implement agentic AI workflows that assist in data discovery, preparation, profiling, validation, and performance optimization.
- 5+ years of experience designing and implementing hyperscale distributed platforms and cloud services.
- Experience in high-scale service architecture, Azure technologies (Azure Kubernetes Service, Cosmos DB, Blob Storage), and modern cloud patterns.
- Actively adopt and promote use Large Language Models and apply Machine Learning algorithms to automate engineering tasks, schema inference, pipeline generation, metadata enrichment, documentation, and tuning recommendations.
- Expertise in building solutions using Azure Machine Learning, Azure OpenAI, and Azure AI Services including RAG pipelines and inference workloads (OR equivalent technologies in AWS or GCP or OCI).
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:
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.
Overview
Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals from Idea-to-Plan-to-Done.
Our team is responsible for collaborative Work Management products including Microsoft Project, Planner, To Do, and Visio. With Project and Planner, we help customers collaborate effectively to navigate complexity, determine critical paths, and orchestrate their plans to achieve more. With To Do and Tasks, we help customers capture, prioritize, and complete their aspirations and goals along their path to success. With Visio, we help customers model and conceptualize information pathways through process diagrams, organizational charts, and more to visualize what it is and what it can be. Collectively, we're responsible for an incredible portfolio of products and services that help guide people and organizations along their journey to achieve more. Microsoft, being a leader in AI space, we are heavily investing in building new AI tools, agents, skills, and MCP servers.
The Principal Software Engineer - AI, ML for our team will operate as a senior technical leader shaping the AI foundations that power Microsoft Path org’s products and platforms at a global scale. This role acts as a strategic and hands-on engineer that works across Core AI, Data Scientists, Software Engineers, Data Engineers, and Product Managers while bringing in deep Machine Learning expertise for supervised and unsupervised learning. As we pivot to build AI-first platforms, this engineer is expected to embed AI-native thinking into delivery models, apply and fine-tune ML algorithms for personalization, and build intelligent, scalable, and innovative solutions to solve customer problems.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. By integrating the power of generative AI with tools for workflow management you will directly contribute to that mission empowering customers to achieve at a pace and scale beyond what has previously been considered possible.
Responsibilities
AI-first Technical Leadership
- Solve complex challenges in distributed systems and help shape the vision for agentic, AI-powered work management.
- Architect and implement core features for the Task and Work Management platform. Ensure secure, high-quality product delivery, overseeing system architecture and code quality.
- Lead end-to-end delivery of complex projects with AI-powered solutions that are scalable, robust, and aligned with customer needs as well as business outcomes that support millions of customers and requests per second.
- Embed AI-first mindset into design, development, testing, and developer tooling to streamline SDLC delivery workflows, leveraging automation and agent orchestration.
- Drive engineering excellence through reusable components, accelerators, code generators, and scalable architecture.
- Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and security & privacy compliance requirements.
- Collaborate with internal stakeholders and external partner teams to define architecture, integration points, delivery plans, milestones, and risk mitigation approaches.
- Ensure delivery models are optimized for modern AI-native execution, including integration of automation and intelligent processes.
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:
- Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Design and implement agentic AI workflows that assist in data discovery, preparation, profiling, validation, and performance optimization.
- 5+ years of experience designing and implementing hyperscale distributed platforms and cloud services.
- Experience in high-scale service architecture, Azure technologies (Azure Kubernetes Service, Cosmos DB, Blob Storage), and modern cloud patterns.
- Actively adopt and promote use Large Language Models and apply Machine Learning algorithms to automate engineering tasks, schema inference, pipeline generation, metadata enrichment, documentation, and tuning recommendations.
- Expertise in building solutions using Azure Machine Learning, Azure OpenAI, and Azure AI Services including RAG pipelines and inference workloads (OR equivalent technologies in AWS or GCP or OCI).
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:
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.
See all 65+ ML Software Engineer at Microsoft jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer at Microsoft roles.
Get Access To All JobsTips for Finding ML Software Engineer Jobs at Microsoft Jobs
Tailor your portfolio to Azure ML systems
Microsoft's ML engineering roles frequently involve large-scale distributed training, Azure infrastructure, and responsible AI tooling. Projects that demonstrate hands-on experience with these systems will distinguish your application before it reaches a recruiter.
Target teams with active H-1B LCA filings
Search DOL's LCA disclosure data for Microsoft job titles matching ML Software Engineer. Teams with recent certified LCAs are actively hiring sponsored roles, giving you a concrete signal of where sponsorship is genuinely available right now.
Prepare for Microsoft's loop interview format
ML Software Engineer interviews at Microsoft typically include a coding screen, ML system design, and a behavioral round assessing growth mindset. Practicing ML design problems at scale, not just algorithms, is what separates candidates who clear the loop.
Browse open ML roles using Migrate Mate
Finding verified sponsorship-ready ML Software Engineer openings at Microsoft is faster when you filter by visa type and company. Use Migrate Mate to surface active Microsoft ML roles that explicitly support your visa category before applying through Microsoft's careers portal.
Align your start date with H-1B cap timelines
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start date. Factor this into your offer negotiation with Microsoft, since the gap between offer acceptance and authorized work can span several months.
ML Software Engineer at Microsoft jobs are hiring across the US. Find yours.
Find ML Software Engineer at Microsoft JobsFrequently Asked Questions
Does Microsoft sponsor H-1B visas for ML Software Engineers?
Yes, Microsoft sponsors H-1B visas for ML Software Engineers and has done so consistently across its engineering teams. The company handles the petition process through its internal immigration team, typically covering filing fees and legal support. If you're subject to the H-1B cap, your offer timeline will need to account for the annual lottery and October 1 start date.
Which visa types does Microsoft sponsor for ML Software Engineer roles?
Microsoft sponsors H-1B, E-3, and H-1B1 visas for ML Software Engineer positions, along with Green Card sponsorship through the EB-2 and EB-3 categories for longer-term employees. Australian citizens are often routed to the E-3 pathway, which bypasses the H-1B lottery. Chilean and Singaporean nationals may qualify for the H-1B1, which also avoids the cap.
What qualifications does Microsoft expect for ML Software Engineer roles?
Microsoft generally looks for a bachelor's or master's degree in computer science, machine learning, or a related field, combined with hands-on experience in training and deploying large-scale models. Proficiency in Python and familiarity with distributed systems are standard expectations. Research publications or contributions to open-source ML frameworks are strong differentiators at senior levels.
How do I apply for ML Software Engineer jobs at Microsoft?
Start by identifying active ML Software Engineer openings through Microsoft's careers portal or by browsing verified sponsorship-ready roles on Migrate Mate, which filters positions by visa type and company. Apply directly through Microsoft's portal, and flag your sponsorship needs early in the recruiter screen. Microsoft's interview loop typically takes four to six weeks from first contact to offer.
How do I understand the timeline from offer to work authorization at Microsoft?
Timeline depends on your visa type. E-3 and H-1B1 applicants can often begin within weeks of a consular appointment, while cap-subject H-1B holders must wait until October 1 of the fiscal year following their lottery selection. Microsoft's immigration team will coordinate filing with USCIS after your offer is accepted, but premium processing, which USCIS adjudicates within 15 business days, is sometimes available to compress the wait.
See which ML Software Engineer at Microsoft employers are hiring and sponsoring visas right now.
Search ML Software Engineer at Microsoft Jobs