contract - engineer, data scientist (ntd)

applied ai engineer ii

data engineer ii

aerospace quality engineer Jobs in Redmond

aerospace quality engineer

ai software engineer ii

contract - engineer, data scientist (ntd) Jobs in Redmond

machine learning engineer

Microsoft

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 At Mojang Studios, the creators of Minecraft, we are on a mission to build a better world through the power of play.
 <br/>
 <br/>
 Why play? Well, play is at the heart of everything we do. It&rsquo;s the blocky backbone of our games, the core of our development philosophy, and even the origin of our name. From the relentless experimentation of our endlessly inspiring community to the classrooms where Minecraft has become an essential teaching tool, play is the bedrock of our existence.
 <br/>
 <br/>
 We enable millions to create and play together, connect people across the globe, and foster a community that is among the most active and passionate in the world. Our community is global and incredibly diverse. When we are developing anything within our franchise, we keep this in mind. We want everyone to not only feel included in Minecraft, but also to see themselves in what we make. Our goal is for the Mojang Studios team to be as diverse as our community.
 <br/>
 <br/>
 The Senior AI/Machine Learning Engineer at Mojang Studios will support the strategy, development, and execution of AI products that will unlock increased productivity and advanced capabilities inside and outside of the game. This role will apply expertise in AI &amp; ML algorithms, frameworks, and architectures as well as data and cloud infrastructure knowledge to guide and build solutions for a variety of teams and data modalities across the studio. This is a critical role to executing our AI strategies across workflows, internal tools, and player experiences
 <br/>
 <br/>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond
 <br/>
 <br/>
 In the end, it&rsquo;s the people of Mojang Studios that make this place truly special. When you join, you&rsquo;ll find yourself in the company of incredibly bright, warm, and creative individuals &ndash; all united and working toward a single goal. Come help us reach it!
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and productionize AI (Artificial Intelligence)/GenAI (Generative Artificial Intelligence) services and platform components for internal and player‑facing experiences across Minecraft and other titles.
  </li>
  <li>
   Create reusable AI building blocks and reference integrations to accelerate teams and drive studio‑wide AI enablement.
  </li>
  <li>
   Own cloud infrastructure &amp; MLOps (Machine Learning Operations): data pipelines, training/evaluation, deployment, monitoring, and operational support.
  </li>
  <li>
   Improve reliability, performance, and cost with guardrails, fallback paths, SLOs (Service Level Objectives), and actionable runbooks.
  </li>
  <li>
   Engineer for security, privacy, and compliance through secure data access patterns and threat modeling.
  </li>
  <li>
   Embed responsible AI principles (fairness, transparency, player safety) into system design and operations.
  </li>
  <li>
   Collaborate cross‑discipline to solve product problems and deliver measurable business/player impact; participate in design/code reviews and pair programming.
  </li>
  <li>
   Document and communicate: share learnings to upskill the studio and present findings/opportunities to leadership.
  </li>
  <li>
   Embody our Culture &amp; Values
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  </li>
  <ul>
   <li>
    OR equivalent experience.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in AI/ML (Machine Learning) principles, frameworks, and tools (e.g., PyTorch, Generative AI, RAG (Retrieval-Augmented Generation), with experience in big data technologies like Spark (PySpark) and Databricks.
  </li>
  <li>
   Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  </li>
  <ul>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   Games industry knowledge
  </li>
  <li>
   Skilled in Python (C#/TypeScript a plus), modern dev practices (Agile, GitHub, Azure DevOps), and designing, deploying, and monitoring cloud infrastructure for AI systems.
  </li>
  <li>
   Familiar with multiple data modalities and ML domains: computer vision, audio, predictive modeling, NLP (Natural Language Processing), time series forecasting, graph networks, deep learning, and reinforcement learning.
  </li>
  <li>
   Verbal and written communication skills.
  </li>
  <li>
   Ability to translate complex technical concepts into clear, actionable insights for non-technical stakeholders.
   <br/>
  </li>
 </ul>
 Data Science 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 $158,400 - $258,000 per year.
 <br/>
 <br/>
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 <br/>
 <br/>
 https://careers.microsoft.com/us/en/us-corporate-pay
 <br/>
 <br/>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 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
 <strong>
  requesting accommodations.
 </strong>
</div>


Senior AI/Machine Learning Engineer, Minecraft

SpaceX

<div>
 SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
 <br/>
 <br/>
 <strong>
  DATA ENGINEER (STARLINK GROWTH)
  <br/>
  <br/>
 </strong>
 At SpaceX, we are leveraging our experience in building rockets and spacecraft to deploy Starlink, the world&rsquo;s most advanced broadband internet system. Starlink is the world&rsquo;s largest satellite constellation and is providing fast, reliable internet to 8M+ users worldwide. We design, build, test, and operate all parts of the system &ndash; thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We&rsquo;ve only begun to scratch the surface of Starlink&rsquo;s potential global impact and are looking for best-in-class engineers to rapidly accelerate our growth around the globe.
 <br/>
 <br/>
 As a Data Engineer in the Starlink Growth Analytics &amp; Automation Team, you will be responsible for developing the strategy, key metrics, tools, models, and processes for assessing the health of Starlink business. You will extract valuable insights from data across all business units and the Starlink network itself. You will work closely with technical and business teams to make customer acquisition as efficient as possible. You will bring in the latest and greatest machine learning and statistical technologies to turn data insights into action and autonomous applications.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience.
  </li>
  <li>
   Transform insights into action items for business and engineering teams, based on statistically-driven evidence.
  </li>
  <li>
   Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise.
  </li>
  <li>
   Work closely with software and production teams to optimize user experience.
  </li>
  <li>
   Develop and validate models to forecast customer acquisition.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, physics, mathematics, statistics, or a STEM discipline
  </li>
  <li>
   1+ years of professional experience building solutions with Python and SQL
  </li>
  <li>
   1+ years of professional experience with statistical modeling and machine learning algorithms
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Skills And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1+ years of professional experience in analytics, data science, or machine learning
  </li>
  <li>
   Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models)
  </li>
  <li>
   Experience with data visualization skills, including experience in geospatial data representations
  </li>
  <li>
   Excellent verbal and written communication skills
  </li>
  <li>
   Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling
  </li>
  <li>
   Demonstrated capability to parse technical subjects on a deep level
  </li>
  <li>
   Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes
  </li>
  <li>
   Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines
  </li>
  <li>
   Experience designing and utilizing relational database (SQL)
  </li>
  <li>
   Background in statistics or computational physics
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be willing to work extended hours and weekends as needed
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Pay range:
 <br/>
 <br/>
 Level I: $122,500.00 - $145,000.00/per year
 <br/>
 <br/>
 Level II: $140,000.00 - $170,000.00/per year
 <br/>
 <br/>
 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
 <br/>
 <br/>
 Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.
 <br/>
 <br/>
 <strong>
  Itar Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
  </li>
  <li>
   1157, or (iv) Asylee under 8 U.S.C.
  </li>
  <li>
   1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
   <br/>
   <br/>
  </li>
 </ul>
 SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
 <br/>
 <br/>
 Applicants wishing to view a copy of SpaceX&rsquo;s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com
 <em>
  .
 </em>
</div>


Data Engineer (Starlink Growth)

<div><b>Overview</b><p><br>
Are you an engineer who loves pairing strong product instincts with AI, machine learning, and bringing meaningful UX interactions to life with craft and precision? This role works in a people-centric, culture-first environment alongside designers, product partners, engineers, strategists, and writers to design and build modern experiences that make intelligent systems feel clear, trustworthy, and human.</p><p>
We&rsquo;re a forward-looking team passionate about building innovative technology and shipping delightful experiences&mdash;especially where AI changes what products can do. We invest in rapid prototyping, model tuning and evaluation, data experiments, and AI-related explorations to help explore the future of intelligent Microsoft products. Our team brings diverse backgrounds in multiple disciplines, from engineering, design, or research to behavioral sciences or medicine; we come in all shapes and sizes. We love pushing boundaries and helping evolve Microsoft&rsquo;s products. Our current focus is on Copilot in the M365 Enterprise world.</p><p>
We're looking for a Senior UX Data Engineer who is self-driven, focused on machine learning, and cares about bringing thoughtful product design to life. You can turn ideas into interactive experiences, learn new tools quickly, and are comfortable exploring the unknown. You value strong engineering practices and know how to collaborate across design and product.</p><p>
You contribute openly, prototype or experiment to learn, share feedback generously, and help raise the quality of the team&rsquo;s work. You are curious, adaptable, and motivated to build experiences that make a real impact.</p><p>
If you&rsquo;re looking for a change and wanting to make an impact &ndash; we invite you to join us in our mission and vision to build the future of UX for Microsoft.</p><p></p><b><br>
Responsibilities</b><br>
<p></p><ul><li>
Design and run applied science and/or machine learning experiments to explore new ideas and validate hypotheses</li><li>
Conduct research on state-of-the-art technologies, methodologies, and emerging trends</li><li>
Translate concepts into working prototypes through code</li><li>
Provide thoughtful, constructive feedback and propose creative, practical solutions</li><li>
Communicate insights, decisions, and results clearly and concisely to cross-functional partners</li><li>
Contribute to publications, technical reports, and knowledge-sharing initiatives</li></ul><br>
<b>
Qualifications</b><br>
<h2 class="jobSectionHeader"><b>
Required Qualifications:</b></h2><ul><li>
Master's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 3+ years experience working in product or service design and/or shipping production code
<ul><li>OR Bachelor's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 4+ years experience working in product or service design and/or shipping production code
</li><li>OR equivalent experience.</li></ul></li></ul><p><b>
Other Requirements:</b></p><ul><li>
GitHub, CodePen, or other links showcasing coding skills OR portfolio is required with application submission.</li></ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h2><ul><li>
Python coding skills and experience with ML frameworks such as PyTorch or TensorFlow</li><li>
Experience working with LLMs, including prompt design, tool and function calling, retrieval strategies (RAG), and multi-step agent orchestration</li><li>
Experience building machine learning pipelines for model quality, optimizations, evaluations, integrations, or UX outcomes (e.g., rubric-based human evals, offline test sets, experiment design, and/or A/B testing), and using results to iterate on both UX and implementation</li><li>
Ability to build and iterate on ML pipelines, integrating insights back into product and experience design</li><li>
Proficiency in data analysis and experimentation to inform product decisions</li><li>
Foundations in linear algebra, calculus, and probability and statistics</li><li>
Familiarity with MLOps and experiment tracking tools like MLflow, Kubeflow, Weights and Biases or equivalent</li><li>
Understanding of production ML requirements, with a track record of mitigating risk and downstream impact</li><li>
Experience with cloud AI and ML services</li><li>
Interest in human-computer interaction, behavioral psychology, and trust in intelligent systems</li><li>
Mastery of at least one back-end coding language</li><li>
Experience building ML-powered product experiences</li></ul><br>
<p></p>
<br>
<br>
<p>UX 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 $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Senior UX Data Engineer

<div><b>Overview</b><div></div><div><div><p><br>
As a <b>Senior Research Engineer</b> at Microsoft, you will advance Microsoft&rsquo;s mission to empower every person and every organization to achieve more. You will help build and integrate cutting-edge AI into Microsoft products and services within <b>Experience + Devices</b> (E+D) org, ensuring solutions are inclusive, ethical, and impactful. This role blends applied research, machine learning engineering, and product innovation. You will lead efforts to ship reliable, production-grade AI systems across the stack, from model development and fine-tuning to performance optimization and deployment.</p></div><div><p>
We are in an era of unprecedented AI innovation. As Microsoft leads the way in foundation models, multimodal systems, and AI agents, our goal is to build an open architecture platform where users can interact with tailored AI agents that drive tangible, real-world outcomes. As a Senior Research Engineer, you will:</p></div><div><ul><li><p>
Bridge the gap between state-of-the-art research and customer-facing features</p></li></ul></div><div><ul><li><p>
Drive systems-level innovation across models, infrastructure, and deployment</p></li></ul></div><div><ul><li><p>
Champion responsible AI by embedding fairness, safety, privacy, and performance from the ground up</p></li></ul></div></div><b><br>
Responsibilities</b><div><div><p><b><br>
Bringing State-of-the-Art Research to Products</b></p></div><div><ul><li><p>
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML</p></li></ul></div><div><ul><li><p>
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments</p></li></ul></div><div><ul><li><p>
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices</p></li></ul></div><div><ul><li><p>
Drive original research and thought leadership (whitepapers, internal notes, patents); convert insights into shipped capabilities</p></li></ul></div><div><ul><li><p>
Research Translation: Continuously review emerging work; identify high-potential methods and adapt them to Microsoft problem spaces</p></li></ul></div><div><p><b>
End-to-End System Development</b></p></div><div><ul><li><p>
ML Design &amp; Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops</p></li></ul></div><div><ul><li><p>
Identify and resolve model quality gaps, latency issues, and scale bottlenecks using PyTorch, or TensorFlow</p></li></ul></div><div><ul><li><p>
Operate CI/CD and MLOps workflows including model versioning, retraining, evaluation, and monitoring</p></li></ul></div><div><ul><li><p>
Integrate AI components into Microsoft products in close partnership with engineering and product teams</p></li></ul></div></div><div><div><p><b>
Data-Driven Innovation</b></p></div><div><ul><li><p>
Evaluation &amp; Instrumentation: Build robust offline/online evals, experimentation frameworks, and telemetry for model/system performance.</p></li></ul></div><div><ul><li><p>
Learning Loop Creation: Operationalize continuous learning from user feedback and system signals; close the loop from experimentation to deployment.</p></li></ul></div><div><ul><li><p>
Experimentation &amp; E2E Validation: Design controlled experiments, analyze results, and drive product/model decisions with data.</p></li></ul></div><div><ul><li><p>
Develop proofs of concept that validate ideas quickly at realistic scales</p></li></ul></div><div><ul><li><p>
Curate high-signal datasets, including synthetic and red-team corpora, and establish labeling protocols and data quality checks tied to evaluation KPIs</p></li></ul></div><div><p><b>
Cross-Functional Collaboration</b></p></div><div><ul><li><p>
Partner with software engineers, scientists, designers, and product managers to deliver high-impact AI features</p></li></ul></div><div><ul><li><p>
Translate research breakthroughs into scalable applications aligned with product priorities</p></li></ul></div><div><ul><li><p>
Communicate findings and decisions through internal forums, demos, and documentation</p></li></ul></div><div><p><b>
Responsible AI &amp; Ethics</b></p></div><div><ul><li><p>
Identify and mitigate risks related to fairness, privacy, safety, security, hallucination, and data leakage</p></li></ul></div><div><ul><li><p>
Uphold Microsoft&rsquo;s Responsible AI principles throughout the lifecycle</p></li></ul></div><div><ul><li><p>
Contribute to internal policies, auditing practices, and tools for responsible AI</p></li></ul></div><div><p><b>
Operating Altitudes</b></p></div><div><ul><li><p>
Paper level (ideas and math): Read, critique, and adapt the latest research; identify gaps; design methods with clear trade-offs and guarantees; communicate complex ideas clearly.<br>
Example: &ldquo;This objective is brittle under our data regime. Here is a tighter analysis and a revised loss we can test this sprint.&rdquo;</p></li></ul></div><div><ul><li><p>
Code level (implementation): Turn ideas into robust, tested, maintainable modules; integrate with CI/CD; profile and optimize for latency and throughput.<br>
Example: &ldquo;Refactored the prototype into a reusable PyTorch component, added unit tests and benchmarks, and cut P95 inference latency by 30%.&rdquo;</p></li></ul></div><div><p><b>
Specialty Technical Areas</b></p></div><div><ul><li><p>
Large-scale training and fine-tuning of LLMs, vision-language, or multimodal models</p></li></ul></div><div><ul><li><p>
Multi-agent systems, dialogue agents, and copilots</p></li></ul></div></div><div><div><ul><li><p>
Optimization of inference speed, accuracy, reliability, and cost in production</p></li></ul></div><div><ul><li><p>
Retrieval systems and hybrid architectures using RAG and vector databases</p></li></ul></div><div><ul><li><p>
ML for real-world data constraints such as missing data, noisy labels, and class imbalance</p></li></ul></div></div><b><br>
Qualifications</b><div><p><b><br>
Required Qualifications</b></p></div><div><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering,</p><ul><li>
OR Master&rsquo;s degree and 3 or more years in applied ML or AI research and product engineering,</li><li>
OR PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms</li></ul></li></ul></div><div><p><b>
Other Requirements</b></p></div><div><p>
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:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul></div><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
PhD in AI/ML or related field with top-venue publications and/or patents</p></li></ul></div><div><ul><li><p>
Experience with Microsoft&rsquo;s LLMOps stack: Azure AI Foundry, Azure Machine Learning, Semantic Kernel, Azure OpenAI Service, and Azure AI Search for vector/RAG</p></li></ul></div><div><ul><li><p>
Familiarity with responsible AI evaluation frameworks and bias mitigation methods</p></li></ul></div><div><ul><li><p>
Experience across the product lifecycle from ideation to shipping</p></li><li><p>
Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow</p></li><li><p>
Experience deploying Fine Tuned LLMs or multimodal models in live production environments</p></li><li><p>
Experience shipping and maintaining production AI systems</p></li></ul><div>
#CXAJOBS</div><div>
#BICJOBS</div></div><br>
<br>
<br>
<p>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 $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Senior Research Engineer

<div><b>Overview</b><p><br>
We&rsquo;re building a Frontier Marketing organization where the Media Data Science &amp; Analytics team leads the way in transforming how Microsoft measures, analyzes, and optimizes media and digital experiences. Our team blends advanced analytics, experimentation, and AI-powered insights to drive smarter decision making and measurable business outcomes across paid media and owned digital properties. We operate with agility, prioritize outcomes over activity, and embrace rapid learning loops to unlock deeper audience understanding, maximize impact, and accelerate innovation in media and discovery strategy.</p><p></p><p><br>
To support this transformation, we are seeking a Senior Data Scientist to lead advanced experimentation and causal inference efforts that enable rigorous campaign measurement and drive data-informed marketing decisions at scale. In this role, you'll directly support Microsoft's mission by enabling data-driven marketing decisions that drive customer engagement and revenue growth. Shape What You Will Do As a Senior Data Scientist on the Media Data Science and Analytics team, you will design and implement advanced experimentation frameworks including Bayesian hypothesis testing, causal inference modeling, and heterogeneous treatment effect analysis, while building and deploying Machine Learning (ML) models and data pipelines to support portfolio impact measurement and campaign analytics at scale. This will include developing solutions that are reusable, readily discoverable by decision makers, and self-service oriented, driving meaningful interpretation of data, and supporting campaign optimization.</p><p></p><p><br>
This candidate thrives in fast-paced environments, demonstrates comfort with ambiguity, and collaborates effectively across teams and functional boundaries. Curiosity, a bias for action, and the ability to balance business context with technical experience are essential. In this role, you will support the rhythm of business by providing actionable recommendations to stakeholders based on rigorous analysis and clear insights. You will leverage statistical and machine learning techniques to develop scalable, efficient, and impactful data products while also diving deep into the details to uncover the story behind the data. You will bring sharp analytical thinking, communication skills, and the confidence to engage with executives and stakeholders across the business.</p><p></p><p><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><p>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.</p><p></p><b><br>
Responsibilities</b><br>
<ul><li>
Experimentation and Causal Inference Design and implement advanced experimentation frameworks including Bayesian hypothesis testing and causal inference modeling.</li><li>
Develop heterogeneous treatment effect analyses to understand differential campaign impacts across customer segments.</li><li>
Establish clear linkage between A/B test results and desired business outcomes.</li><li>
Assess the degree to which campaigns meet business objectives and address gaps.</li><li>
Ensure alignment on definitions and standards across stakeholders.</li><li>
Define, design, and promote appropriate feedback and evaluation methods. Present results and findings to senior stakeholders.</li><li>
Build and deploy ML models to support portfolio impact measurement and campaign analytics at scale.</li><li>
Develop and maintain data pipelines that enable scalable, automated analysis.</li><li>
Evaluate the viability of automated methods for data collection, reporting, and analysis.</li><li>
Ensure solutions are reusable, easily discoverable, and self-service oriented.</li><li>
Identify and promote methods that enhance efficiency in analytics and reporting.</li><li>
Drive meaningful data interpretation to inform business decisions and shape organizational understanding through compelling storytelling.</li><li>
Recommend and socialize optimal methods for operationalizing, sharing, and scaling insights.</li><li>
Share knowledge and practical rationale for transitioning ad-hoc analyses to regular reporting features.</li><li>
Share domain knowledge to create clarity and ensure readiness to leverage data and insights effectively.</li><li>
Orchestration and Collaboration Leverage working relationships within and across teams to ensure alignment and quality execution.</li><li>
Drive the adoption of recommended data sources and analysis practices.</li><li>
Consult across teams and influence data strategy, experimentation culture, and measurement frameworks on decisions related to data sourcing, analyses, and interpretation of results.</li><li>
Coach and mentor less experienced analysts, as needed, and enable cross-functional partners to become data-savvy.</li><li>
Share insights and analytical experience through various means, including dashboards, reports, and visualizations.</li><li>
Synthesize and simplify details across analyses to highlight relevant findings. Identify opportunities to improve the efficiency of insights reporting techniques.</li><li>
Guide others and establish partnerships with stakeholders to ensure results are accessible and relevant.</li><li>
Embody our Culture and Values</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required/minimum qualifications</b></p><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) experience in data science, applied statistics, machine learning, or quantitative research</li><li><ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR equivalent experience.</li></ul></li></ul><p></p><p><b><br>
Additional or preferred qualifications</b></p><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li><ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years experience in data science, applied statistics, machine learning, or quantitative research</li><li>
OR equivalent experience.</li></ul></li></ul><ul><li>
4+ years of experience with Python or R for statistical analysis and machine learning.</li><li>
4+ years of experience with SQL and data pipeline development.</li><li>
3+ years of experience designing and analyzing A/B experiments or causal inference studies.</li><li>
2+ years of experience with Bayesian methods, causal inference techniques (e.g., difference-in-differences, instrumental variables, propensity score matching), or heterogeneous treatment effect estimation.</li><li>
2+ years of experience building and deploying ML models.</li><li>
4+ years of experience presenting complex technical findings to both technical and non-technical senior level stakeholders.</li><li>
Experience with marketing mix modeling (MMM) or attribution modeling.</li><li>
Experience with cloud-based ML platforms (e.g., Azure ML, Databricks).</li><li>
4+ years' experience analyzing marketing campaign performance.</li><li>
Experience with Microsoft Fabric, Power BI, or similar visualization platforms.</li></ul><br>
<br>
<br>
<p>Data Science 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 $158,400 - $258,000 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Senior Data Scientist

<div><b>Overview</b><p><br>
Microsoft Defender for Endpoint (MDE) is a product for preventative protection, post-breach detection, automated investigation, and response. Our team, the core machine learning and data science team, is a cross-discipline team responsible for building ML, LLM, and automation solutions that defend over a billion end users and enterprises from cybersecurity attacks through Microsoft Defender AntiVirus, Microsoft Defender Endpoint Detection and Response, and Network Protection products. We are a mix of machine learning engineers, data scientists, data engineers, and security researchers who develop big data pipelines, run experiments, and deploy our protection to production to protect customers at scale.</p><p></p><p><br>
We are looking to hire an Early in Career <b>Security Researcher</b> who has a passion for a role focusing on investigating attacks, working with big data and LLMs, and engineering defensive solutions to the latest attacks<b>.</b></p><p></p><p><br>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p><p></p><p><br>
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.</p><b><br>
Responsibilities</b><br>
<ul><li>
 Investigate attacks through threat hunting on top of product telemetry - identifying protection gaps and opportunities for systems to better protect our customers.</li><li>
 Experiment with and apply large language models and agentic systems to protect our customers and improve our internal systems.</li><li>
 Propose, design, experiment, and implement machine learning and automation designs to protect our customers.</li><li>
 Collaborate closely with engineering and product teams to design security sensors, validate protection concepts, and measure effectiveness using data-driven methodologies.</li>
 Own end-to-end lifecycle from hypothesis to productionization.<br>
<li>
</li></ul><br>
<br>
<b>Qualifications</b><p><b><br>
Required qualifications:
</b></p><ul><li> Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field OR equivalent experience.</li></ul><p><b>
Preferred qualifications :</b></p><ul><li>
1+ years of experience in software development.</li><li>
1+ years of experience with large-scale data, utilizing either distributed data processing frameworks (e.g., Apache Spark, Hadoop), real-time data streaming platforms (e.g., Kafka), or query languages like SQL and KQL.</li><li>
1+ years of experience with Large Language Models and/or agentic systems.</li></ul><br>
<br>
<br>
<p>Security Research IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Security Researcher

NVIDIA

<div><div>We are now looking for a Senior Deep Learning Engineer! At NVIDIA, we are at the forefront of advancing the capabilities of artificial intelligence. We are seeking an ambitious and forward-thinking senior deep learning engineer to contribute to the development of next-generation inference optimizations targeting frontier workloads including multi-agent AI systems, generative multimodal models, and inference-time compute scaling. In this role, you will characterize these emerging workloads and develop novel methods to optimize for them across inferencing engines, systems, and hardware architectures. Your work will span multiple tiers of the inference stack from the algorithmic to system level.</div><div></div><div>
As NVIDIA makes significant strides in AI datacenters, our team holds a central role in maximizing the efficiency of our exponentially growing inference deployment needs and establishing a data-driven approach to algorithmic improvements, hardware design and system software development. We collaborate extensively with diverse teams at NVIDIA, spanning deep learning research and framework development teams, to silicon architecture. Thriving in such a high-impact, interdisciplinary environment necessitates not only technical proficiency but also a growth mindset and a pragmatic attitude &mdash; qualities that fuel our collective success in shaping the future of datacenter technology.</div><div></div><div>
What You'll Be Doing:</div><ul><li><div>
Continuously keeping up to date on the latest advancements in generative AI research.</div></li><li><div>
Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.</div></li><li><div>
Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.</div></li><li><div>
Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.</div></li></ul><div><br>
What We Need to See:</div><ul><li><div>
Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.</div></li><li><div>
A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.</div></li><li><div>
A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.</div></li><li><div>
Growth mindset and pragmatic attitude.</div></li></ul><div></div><div>
Ways to Stand Out From the Crowd:</div><ul><li><div>
Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.</div></li><li><div>
Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.</div></li><li><div>
Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.</div></li><li><div>
Familiarity with computer architecture and how it relates to AI algorithms development.</div></li></ul><div><br>
NVIDIA is widely considered to be one of the technology world&rsquo;s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you!</div><div></div>
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div></div><div><div><div><div><div><div><div><div>
You will also be eligible for equity and <div>benefits</div>.</div></div></div></div></div></div></div></div><div></div>
Applications for this job will be accepted at least until March 6, 2026.<div></div><div>
This posting is for an existing vacancy.</div><div>
NVIDIA uses AI tools in its recruiting processes.</div><div></div>
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.</div><div></div>

Senior Deep Learning Engineer

Explore 63+ Machine learning engineer in Redmond this March. Find roles across top companies and apply now to boost your career.