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software engineer, machine learning

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software engineer machine learning

Meta

<div>
 Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
 <br/>
 <br/>
 Software Engineer, Machine Learning Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  </li>
  <li>
   Implement custom user interfaces using latest programming techniques and technologies
  </li>
  <li>
   Develop reusable software components for interfacing with back-end platforms
  </li>
  <li>
   Analyze and optimize code for quality, efficiency, and performance
  </li>
  <li>
   Lead complex technical or product efforts and provide technical guidance to peers
  </li>
  <li>
   Architect efficient and scalable systems that drive complex applications
  </li>
  <li>
   Identify and resolve performance and scalability issues
  </li>
  <li>
   Work on a variety of coding languages and technologies
  </li>
  <li>
   Establish ownership of components, features, or systems with expert end-to-end understanding
   <br/>
   <br/>
  </li>
 </ul>
 Minimum Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Experience building maintainable and testable code bases, including API design and unit testing techniques
  </li>
  <li>
   Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  </li>
  <li>
   2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
  </li>
  <li>
   Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  </li>
  <li>
   Experience with developing machine learning models at scale from inception to business impact
  </li>
  <li>
   Exposure to architectural patterns of large scale software applications
  </li>
  <li>
   Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  </li>
  <li>
   Proven experience to translate insights into business recommendations
  </li>
  <li>
   Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  </li>
  <li>
   Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  </li>
  <li>
   Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
   <br/>
   <br/>
  </li>
 </ul>
 About Meta:
 <br/>
 <br/>
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 <br/>
 <br/>
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 <br/>
 <br/>
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 <br/>
 <br/>
 $58.65/hour to $181,000/year + bonus + equity + benefits
 <br/>
 <br/>
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about  benefits  at Meta.
</div>


Software Engineer, Machine Learning

Microsoft

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 You&rsquo;ll help build core generative AI and multimodal capabilities that power customer-facing AI services at global scale. In this role, you&rsquo;ll combine software engineering with applied ML expertise to design, ship, and operate production systems&mdash;using techniques like context engineering, synthetic data generation, and rigorous evaluation/metrics to continuously improve quality. You&rsquo;ll collaborate closely across product, research, and service engineering to deliver secure, performant improvements for enterprise customers.
 <br/>
 <br/>
 This position is in-office, with a minimum of 3 days/week in office.
 <br/>
 <br/>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more, and we&rsquo;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 toperform at a high level each day. Join us and help shape the future of the world.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and operate production-grade generative AI and multimodal systems, with ownership from implementation through deployment and live-site operations.
  </li>
  <li>
   Contribute to the design and implementation of core GenAI capabilities (e.g., retrieval-augmented generation, context and memory, orchestration) and make data-driven tradeoffs across quality, latency, cost, and safety.
  </li>
  <li>
   Improve model and system quality using evaluation frameworks, experiment design, and production telemetry; build robust testing, monitoring, and regression coverage.
  </li>
  <li>
   Work with security, privacy, and compliance partners to build solutions that meet enterprise requirements and align with Responsible AI standards and practices.
  </li>
  <li>
   Collaborate with teammates through design reviews, code reviews, and debugging to unblock delivery and improve architecture, code quality, and ML engineering practices.
  </li>
  <li>
   Partner with product and customers to understand scenarios, translate requirements into well-designed APIs and developer experiences, and contribute to adoption through documentation and samples.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Required Qualifications
 <br/>
 <br/>
 <ul>
  <li>
   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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in software engineering, machine learning engineering, or applied AI (or equivalent experience).
  </li>
  <li>
   Experience contributing to technical designs and delivering features in complex codebases (e.g., writing design docs, reviewing changes, and improving reliability/performance).
  </li>
  <li>
   Experience building and shipping generative AI systems (including multimodal scenarios).
  </li>
  <li>
   Experience building and operating ML/AI systems in cloud environments; familiarity with MLOps practices (Azure a plus).
  </li>
  <li>
   Experience partnering with cross-functional stakeholders to define requirements and drive technical decisions.
  </li>
  <li>
   Advanced degree in Computer Science, Machine Learning, or related field.
  </li>
  <li>
   Experience with prompt engineering, retrieval-augmented generation (RAG), and memory/agent frameworks.
  </li>
  <li>
   Familiarity with compliance and security standards in enterprise AI solutions.
  </li>
  <li>
   Track record of delivering enterprise-facing AI products at scale.
   <br/>
   <br/>
  </li>
 </ul>
 Other Requirements:
 <br/>
 <br/>
 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:
 <br/>
 <br/>
 <ul>
  <li>
   Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
   <br/>
   <br/>
  </li>
 </ul>
 Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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>


ML Engineer

<div><b>Overview</b><div><p><br>
You&rsquo;ll help build core generative AI and multimodal capabilities that power customer-facing AI services at global scale. In this role, you&rsquo;ll combine software engineering with applied ML expertise to design, ship, and operate production systems&mdash;using techniques like context engineering, synthetic data generation, and rigorous evaluation/metrics to continuously improve quality. You&rsquo;ll collaborate closely across product, research, and service engineering to deliver secure, performant improvements for enterprise customers.</p></div><div></div><div><p><br>
This position is in-office, with a minimum of 3 days/week in office.<br>
</p></div><div></div><div><p>Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more, and we&rsquo;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 toperform at a high level each day. Join us and help shape the future of the world.</p></div><b><br>
Responsibilities</b><div><ul><li><p><br>
Design, build, and operate production-grade generative AI and multimodal systems, with ownership from implementation through deployment and live-site operations.</p></li></ul></div><div><ul><li><p>
Contribute to the design and implementation of core GenAI capabilities (e.g., retrieval-augmented generation, context and memory, orchestration) and make data-driven tradeoffs across quality, latency, cost, and safety.</p></li></ul></div><div><ul><li><p>
Improve model and system quality using evaluation frameworks, experiment design, and production telemetry; build robust testing, monitoring, and regression coverage.</p></li></ul></div><div><ul><li><p>
Work with security, privacy, and compliance partners to build solutions that meet enterprise requirements and align with Responsible AI standards and practices.</p></li></ul></div><div><ul><li><p>
Collaborate with teammates through design reviews, code reviews, and debugging to unblock delivery and improve architecture, code quality, and ML engineering practices.</p></li></ul></div><div><ul><li><p>
Partner with product and customers to understand scenarios, translate requirements into well-designed APIs and developer experiences, and contribute to adoption through documentation and samples.</p></li></ul></div><b><br>
Qualifications</b><div><p><br>
Required Qualifications</p></div><div><ul><li><p>
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.</p></li></ul></div><div><p>
 Preferred Qualifications</p><div><ul><li><p>
3+ years of experience in software engineering, machine learning engineering, or applied AI (or equivalent experience).</p></li></ul></div><div><ul><li><p>
Experience contributing to technical designs and delivering features in complex codebases (e.g., writing design docs, reviewing changes, and improving reliability/performance).</p></li></ul></div><div><ul><li><p>
Experience building and shipping generative AI systems (including multimodal scenarios).</p></li></ul></div><div><ul><li><p>
Experience building and operating ML/AI systems in cloud environments; familiarity with MLOps practices (Azure a plus).</p></li></ul></div><div><ul><li><p>
Experience partnering with cross-functional stakeholders to define requirements and drive technical decisions.</p></li></ul></div></div><div><ul><li><p>
Advanced degree in Computer Science, Machine Learning, or related field.</p></li></ul></div><div><ul><li><p>
Experience with prompt engineering, retrieval-augmented generation (RAG), and memory/agent frameworks.</p></li></ul></div><div><ul><li><p>
Familiarity with compliance and security standards in enterprise AI solutions.</p></li></ul></div><div><ul><li><p>
Track record of delivering enterprise-facing AI products at scale.</p></li></ul><div><p>
Other Requirements:</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></div><div><ul><li><p>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</p></li></ul></div></div><br>
<br>
<br>
<p>Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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>

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Linguistic Data Engineer
</div></div></div></div><div><div><div><div>City: Redmond
</div></div></div></div><div><div><div><div>State/Province: Washington
</div></div></div></div><div><div><div><div>Posting Start Date: 3/16/26
</div></div></div></div><div><div><div><div>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Job Description
</b></h2></div><div><h1 class="jobSectionHeader"><br>
<b>Role Purpose
</b></h1><h1 class="jobSectionHeader"><br>
<b>The purpose of this role is to prepare test cases and perform testing of the product/ platform/ solution to be deployed at a client end and ensure its meet 100% quality assurance parameters.
</b><br>
</h1></div></div><div><div><h2 class="jobSectionHeader"><b>͏
</b></h2></div><div><p><b>Required Skills:
</b></p><ul><li>Familiarity with data processing and visualization languages and tools such as Python.
</li><li>Turkish native having expertise in Turkish language
</li><li>Technical skills and experience in Python, Regex, SQL
</li><li>Experience using knowledge of regular expressions to develop and release hard-coded rules for LLM.
</li><li>Understanding of the relationship between data and machine learning models.
</li><li>Ability to read and adapt existing scripts for data manipulation, both in peer-developed notebooks and within the command line.
</li><li>Knowledge of the main differences across dialects/varieties of the Italian, Spanish, German languages are required
</li><li>Excellent communication and teamwork skills
</li><li>Ability to work with a large amount of language data
</li><li>Ability to work with diverse and quickly changing workflow
</li><li>Ability to learn new things quickly
</li><li>High level of flexibility and ability to quickly adapt to new types of tasks
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Competencies
</b></h2></div><div><div>Client Centricity
</div><div>Passion for Results
</div><div>Execution Excellence
</div><div>Collaborative Working
</div><div>Learning Agility
</div><div>Problem Solving &amp; Decision Making
</div><div>Effective communication
</div></div></div></div></div></div></div></div><div><div><div><div>Mandatory Skills: Cloud Platform Resilence Test Engg .<br>
<p></p>Experience: 1-3 Years .<br>
<p></p>The expected compensation for this role ranges from $37,500 to $83,600 .<br>
<p></p>Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.<br>
<p></p>Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.<br>
<p></p>Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.<br>
<p></p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.</div></div></div></div></div><p></p>

Linguistic Data Engineer

<div><b>Overview</b><div><p><br>
The IDEAS team (Insights, Data, Employee Experience, Agents, and Science), is one of the largest data science groups at Microsoft, our team plays a key role in providing data and analytics for M365 and owns the end to end ML and decision sciences charter. By joining our team, you will be at the heart of data, insights, machine learning, AI, and technology, lighting up actionable insights that drive key business decisions for the entire M365 organization.</p><p><br>
<br>
As a <b>Senior Applied Scientist</b> in IDEAs team, you will be bringing relevant data into a central systems to create the single version of truth and perform opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle. This opportunity will allow you to gain experience in designing, prototyping, implementing and testing descriptive, predictive analytics, forecasting, causal inference models and also thrive in a team environment that values cross team collaboration and building on the success of others.</p><p>
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></div><b><br>
Responsibilities</b><br>
<div><ul><li>
You will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance.</li><li>
As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams.</li><li>
You will work with engineers to architect and develop operational models that run at scale.</li><li>
You will communicate with technical and non-technical audiences, and contribute with your modeling experience as a team player.</li><li>
You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results.</li></ul></div><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><div><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)<ul><li>
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)</li><li>
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><li>
OR equivalent experience.</li></ul></li></ul></div><p><b>
Other Requirements:</b></p><ul><li>
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:<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></li></ul><p><b>
Preferred Qualifications:</b></p><div><ul><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)<ul><li>
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)</li><li>
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><li>
OR equivalent experience.</li></ul></li><li>
4+ years of experience with SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment.</li><li>
1+ years experience on large scale computing systems like COSMOS, Hadoop, Spark, Flink, MapReduce and/or similar systems.</li><li>
Familiarity with deep learning toolkits, e.g. CNTK, PyTorch.</li></ul><p>
#DPG</p><p>
#IDEAS</p><p>
#DPGHiring</p></div><br>
<br>
<br>
<p>Applied Sciences 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 Applied Scientist

<div><b>Overview</b><p><br>
Come build community, explore your passions, and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead.</p><p>
Microsoft is dedicated to transforming Azure into a global AI supercomputer, enabling the responsible development of cutting-edge foundational AI. This includes large language models (LLMs) designed to empower people to harness the world's knowledge, revolutionize interactions with technology, and enhance user experiences.<br>
<br>
To solidify our leadership in AI, Microsoft has launched a groundbreaking program to develop the next generation of leaders in this field. Over the course of two years, participants will work in interdisciplinary project teams to provide AI as a service to engineering teams across Microsoft and solve some of our most exciting and challenging problems. In addition, you will have mentors, exposure to leaders, and access to numerous AI applied scientists, researchers, and engineers across the company. After completing the program, participants have the opportunity to join one of the sponsoring product teams and further accelerate their careers at Microsoft.</p><p>
MAIDAP Applied Scientists will have the opportunity to leverage or instantiate novel AI technologies into production by advancing the state-of-the-art both internally and externally to meet product needs. Acting as the bridge between research and development (R&amp;D), they will blend techniques from both researchers and development teams. This approach drives data-driven, research-backed innovation from theory into reality, in collaboration with software engineers and product managers in MAIDAP, as well as partnering product and technology teams across Microsoft. <b>A PhD is preferred for this role, as it reflects advanced proficiency in scientific methodology, rigorous experimental design, and a strong commitment to reproducible research practices.</b></p><p>
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><b>
Please note that this position has a single start date in July 2026, candidates must be available to start full-time in July 2026. Unfortunately, we cannot accommodate earlier start dates.</b></p><p>
#EiP #Maidap</p><b><br>
Responsibilities</b><br>
<ul><li>
Research, develop, and lead the implementation of AI solutions in application projects for Microsoft&rsquo;s products and services.</li><li>
Select and apply appropriate statistical and machine learning techniques to large-scale, high-dimensional data.</li><li>
Stay current with the latest research and technology and communicate your knowledge throughout the organization.</li><li>
Take responsibility for preparing data for analysis, reviewing data preparation/ETL code, and providing critical feedback on issues of data integrity.</li><li>
Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers.</li><li>
Patent and publish relevant IP and scientific research.</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)<br>
<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field</li><li>
OR equivalent experience.</li></ul></li><li>
Candidates must be available to start full-time in July 2026.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).</li><li>
A publication record in any of the following or related modeling paradigms: LLMs/SLMs/multi-modal models/probabilistic graphical models/Bayesian networks/deep learning/reinforcement learning/time series/active learning/fair and interpretable AI/optimization for machine learning.</li><li>
Experience in any of the deep learning frameworks, systems, or big-data application solutions, along with application experience in language, speech, vision, graphics, gaming, or recommendation.</li><li>
2+ years experience and proven knowledge in Python/R/Scala or similar.</li><li>
Energized by creating AI solutions and the prospect of working on a wide variety of datasets and AI applications, across many products and engineering teams.</li></ul><br>
<br>
<br>
<p>Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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></p>
<p>Applied Sciences 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>

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