Microsoft Logo

Microsoft

(Senior) Software Engineer, Experimentation Platform - CoreAI

Posted 3 Hours Ago
Be an Early Applicant
In-Office
New York, NY, USA
102K-261K Annually
Senior level
In-Office
New York, NY, USA
102K-261K Annually
Senior level
Design, implement, and maintain scalable experimentation platform services. Collaborate with engineers, PMs, and privacy/security/SRE partners to deliver reliable, diagnosable features, participate in on-call rotations, and improve tooling, telemetry, and automation to support large-scale A/B testing and AI product experimentation.
The summary above was generated by AI
Overview
CoreAI sits at the center of Microsoft’s mission to redefine how software is built and experienced, providing the foundational platforms, services, and developer experiences that power the next generation of AI-driven applications. As part of CoreAI, the Experimentation Platform (ExP) enables trustworthy, high-scale online experimentation that accelerates product learning and drives progress across Microsoft’s AI ecosystem. You will play a key role in helping teams ship better AI experiences faster by providing the experimentation capabilities needed to evaluate, refine, and safely deploy new innovations.
In this role, you will help strengthen one of the highest-scale experimentation platforms - critical infrastructure that enables rapid iteration in AI systems and product features. You will contribute to services that empower engineers and scientists across the company to measure impact, validate hypotheses, and advance state-of-the-art AI capabilities through rigorous experimentation. This is a unique opportunity to build systems at scale while deepening your expertise in distributed systems, service reliability, and experimentation methodologies.
You will thrive in this role if you enjoy solving complex distributed systems challenges, learning experimentation fundamentals, and building reliable infrastructure that accelerates Microsoft’s progress in AI. 
  • Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Responsibilities
Responsibilities
  • Design, implement, and maintain clean, reliable, testable code using best practices and responsible AI-assisted development while escalating blockers early.
  • Use AI tools responsibly across the SDLC, reviewing and validating AI-generated changes to ensure correctness and maintainability.
  • Work with partner engineering teams, PMs, and experts (privacy, security, SRE) to understand requirements, apply customer feedback/telemetry, and deliver scalable, reliable, user-centric features.
  • Build extensible, maintainable services and features with strong diagnosability, reliability, and production-readiness.
  • Participate in on-call rotations, troubleshoot live-site issues using least-privileged access, and improve TSGs, telemetry, and fixes that reduce future incidents.
  • Contribute to engineering and operational excellence through automation, tooling, documentation, and process improvements.

Qualifications
Qualifications Required: 
Bachelor's Degree in Computer Science or related technical field AND 2+ 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:
  • Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Experience working with cloud platforms (Azure, AWS, GCP), building and maintaining distributed systems including deployment, monitoring and troubleshooting of production workloads.
  • Experience using observability tools (logging, metrics, tracing) to diagnose service issues and improve system reliability.
  • Experience with experimentation platforms, A/B testing at scale, and statistical methodologies for measuring product impact and driving data-informed ship decisions.
  • Familiarity with AI-assisted development workflows or responsible use of AI coding tools.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


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, read more about requesting accommodations.

Similar Jobs

3 Hours Ago
In-Office
New York, NY, USA
120K-304K Annually
Senior level
120K-304K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Design, build, and operate high-scale experimentation platform components for AI systems. Lead architecture, produce reliable, secure, and performant services, mentor engineers, collaborate with PMs and SRE/privacy/security partners, maintain on-call operations, and drive automation, observability, and experimentation best practices.
Top Skills: AWSAzureCC#C++GCPJavaJavaScriptPython
13 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
104K-204K Annually
Senior level
104K-204K Annually
Senior level
Big Data • Cloud • Software • Database
Lead MongoDB's strategy to increase LLM and answer-engine visibility by optimizing content, structured data, and community signals. Build and scale an AEO/SEO team, implement technical information architecture (JSON-LD, knowledge graphs, RAG-friendly docs), coordinate UGC/community advocacy, evangelize AI-first content practices, and develop analytics/attribution (Share of Model, citation impact) to drive PLG acquisition.
Top Skills: AhrefsAmplitudeChatgptClaudeCommonroomConductorGoogle Ai OverviewsGoogle AnalyticsJIRAJson-LdKnowledge GraphsLlmsPerplexityProfoundPythonRagReddit Mod ToolsSemantic HtmlSemrushSprinklrSQLVector Spaces
13 Minutes Ago
In-Office or Remote
New York City, NY, USA
247K-457K Annually
Expert/Leader
247K-457K Annually
Expert/Leader
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead Pfizer's enterprise Data & BI platform engineering organization, owning data warehouse/lakehouse, integration, BI, catalog, and observability platforms. Define strategy, roadmaps, SLAs, governance, FinOps, and vendor/licensing. Manage and grow platform teams to deliver reliable, governed, AI-ready data and enable federated analytics and AI consumers.
Top Skills: AlteryxAmazon NeptuneAmazon RedshiftAtscaleAzure SynapseDatabricksDbtFivetranInformaticaLooker LookmlMulesoftNeo4JPower BIScibiteSnowflakeSpotfireStardogTableau

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account