דרושים Principal Researcher - Ai Domains ב-Microsoft ב-ארהב

As the Principal Software Engineer on our team, you would have the opportunity to work on:

• ONNX: an open standard format for representing AI models, enabling AI developers to work on AI models with a variety of frameworks, tools, runtimes, and compilers.
• ONNX Runtime: ONNX based cross-platform, high performance ML inferencing and training accelerator.
• Foundry Local: an on-device AI inference solution offering performance, privacy, customization, and cost advantages. It integrates seamlessly into your existing workflows and applications through an intuitive CLI, SDK, and REST API.

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.

Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

As a Principal Software Engineer on the team the common tasks of the job would include, but not be limited to

• Partnering with appropriate stakeholders to determine user requirements for one or more complex scenarios.
• Providing technical leadership for the identification of dependencies and the development of design documents for a product, application, service, or platform.
• Leading by example and mentoring others to produce extensible and maintainable code used across the company.
• Leveraging deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product's project plans, release plans, and work items.
• Holding accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
• Proactively seeking new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.
• Embodying our

We are building a planet-scale multi-modal database from the ground up. You will be part of the team that is reimagining the databases in the era ofLarge Language Models (by deeply integratingArtificial Intelligence (into all parts of the stack.

As aSenior Principal Machine Learning Engineer, you will lead and collaborate with a team of passionate engineers, driving ideas to impactful results in a fast-paced environment. You will work on designing, building, and deploying large-scale machine learningsystems, withemphasis on production-grade solutions involving data pipelines, distributed training, model serving, and performance optimization. You are experienced in machine learning engineeringfrom ideation and algorithm selection,to architecture and implementation, to deployment and continuous improvement.

great communicationskills helps deliver superior products and is key to success. This is

Required Qualifications

• Bachelor's Degree inComputerScience,Machine Learning or Artificial Intelligence, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • ORMaster's Degree inComputerScience,Machine Learning or Artificial Intelligence, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR DoctorateinComputerScience,Machine Learning or Artificial Intelligence, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Proven experience in training large-scale modernMachine Learning (ML)models (e.g., transformers, diffusion models, foundation models).
• Hands-on experience inkey model optimization techniques (e.g., mixed precision training, distributed training, fine-tuning, RLHF, LoRA).
• Familiarity with model evaluation, data curation pipelines, and reproducible research practices.

Preferred Qualifications

• Master's Degreein ComputerScience,Machine Learning or Artificial Intelligence, or related fieldAND 12+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctoratein ComputerScience,Machine Learning or Artificial Intelligence, or related fieldAND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Deep understanding of modern deep learning frameworks such asPyTorchor TensorFlow, and scalable training infrastructure.
• First-author publication in top-tier machine learning conferences or journals (e.g.,NeurIPS

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until September 3, 2025.

• velopand deploy scalable Machine Learning models.
• Develop robust evaluation frameworks to assess model performance, conduct systematic benchmarking, and addressidentifiedweaknesses while ensuring compliance with customer standards.
• Defines the vision and strategy for collaboration efforts between researchers and development teams at the individual product level. Bringsnew technologyand approaches into production by applying long-term research efforts to solve immediate product needs. Drives high-stakes negotiations across teams to ensurecutting edgetechnology is being applied to products in a practical way that meets key businessobjectives. Ensures that teams apply an understanding of research approaches used across and outside of the company toleverage(and not re-invent) solutions.Representsthe organization across the company.
• Incorporates key business and product requirements to define a clear agenda and vision that influences the direction of the company/products and provides a competitive or strategic advantage. Drives programs structured around the specificity of key business challenges. Provides strategic direction for the kinds of data used to solve problems.
• Embody our and .

As a Principal Software Engineer on the Pipelines team within AI Foundry Agents Platform, you will play a crucial role in developing a cloud service that enables AI application developers and data scientists to author and processAI Agents for Enterprise applications

Required/Minimum Qualifications:

• Bachelor's Degree in Computer Science, or related technical disciplineAND 6+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Java, or Python
  • ORequivalent experience.
• Experience with microservices architecture, Kubernetes (K8s), NGINX, observability (logs, metrics, etc.), and network layer protocols.

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/Additional Qualifications:

• Extensive experience with K8s cluster creation, management, and optimization.

• Expert level knowledge around security and compliance experience for K8s.

• Solid understanding of networking in K8s for inter, intra, and external pod-to-pod, control, and data plane communications.
• Security Configuration and Compliance: Configure, update, andmaintainsecurity tools used for endpoint security, log collection and reporting, vulnerability, and compliance scanning. Hardening and compliance with best practices, benchmarks, andremediatevulnerabilities as reported by security.

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

• Understand User Requirements: Partner with stakeholders todetermineuser requirements and incorporate feedback into future designs.
• Design: Lead architecture discussions, create design documents, and ensure system architecture meets security and compliance requirements.
• Coding: Produce extensible and maintainable code, optimize and debug code, andparticipatein code reviews to ensure quality standards.
• Implement: Drive project plans, lead experimentation todeterminethe effectiveness of changes, and ensure safe deployment of solutions.
• Reliability and Supportability:Maintainlive service operations, develop playbooks for issue resolution, and reduce incident volume.
• Engineering Excellence: Enhance andidentifynew developer tools, apply automation in production, and stay current withnew trendsand technical solutions.
• Other:Embody our

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, or related technical disciplineAND 6+ years technical engineering experience with coding in languages including, but not limited to C#, Java, JavaScript, React Native, TypeScript, or Python
  • ORequivalent experience.
• 5+ years experience building software and complex services.
• 5+ years experience in designing, building, and managing highly available and distributed large-scale services.
• 5+ years experience with cloud services such as Microsoft Azure, AWS, GCP, or others, and familiarity with cloud concepts such as containers, orchestration, serverless, and microservices.

Additional or Preferred Qualifications

• Bachelor's Degree in Computer Scienceor related technical fieldAND 10+years technicalengineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • ORMaster's Degree in Computer Science or related technical fieldAND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 8+ years experience in software engineering practices, coding and solid foundation in data structures, algorithms with proven testing, debugging and analytical skills
• 1+ years experience working with DevOps practices such as continuous integration, continuous delivery, testing, and monitoring
• 1+ years experience working with Generative AI/LLMs and related application architecture patterns.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until May 19, 2025.

• Shape system architectures that provide measurable customer value, along with driving engineering and operational excellence across products and services.
• Design and build scalable, multi-tenant solutions that serve divergent business and user needs in a broad capability area.
• Design and build solutions in an agile way, prototype and iterate with stakeholders, deliver value iteratively through MVP releases and fast-follow value-add enhancements, to support critical business needs. Dynamically adjust engineering plans to support impactrful priority business asks.
• Design and build modern AI-first experiences that enable efficient completion of business workflows and support users in-the-flow-of-work decision making.
• Deliver solutions with quality and user satisfaction, in a measurable and data driven way.
• Oversee partnerships with appropriate stakeholders (e.g., Engineering Managers, Product Managers, Technical Leads, Technical Program Managers) to determine user requirements within and across teams for multiple solutions or product lines across MCAPS businesses.
• Oversee teams and provide technical leadership for identification of dependencies and the development of design documents for a product, application, service, or platform.
• Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
• Leverage subject-matter expertise of product features and partner with appropriate stakeholders to drive project plans, release plans, and work items.
• Act as a Designated Responsible Individual (DRI) and guide other engineers by developing and following the playbook, working on call to monitor the service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore the service when appropriate.
• Act as a gatekeeper for product compliance, identifying and addressing security/privacy concerns.
• Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, scalability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Partner internally to  improve  the overall productivity through recommendations  and  improvements to tools and processes.