applied scientist

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Applied Scientist 2</b></h1><div><div><p>
Bangalore, Karnataka, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 04, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1871587</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
25-50</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><p>
The Data and Artificial Intelligence team in Microsoft&rsquo;s Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.</p><p></p><p><br>
We are looking for a passionate and growth-oriented <b>Applied Scientist</b><b> II</b> to join our team working on high-impact projects at the intersection of AI and software engineering. As an Applied Scientist, you will play a pivotal role in development and application of advanced data science techniques&mdash;especially those involving LLMs&mdash;to real-world developer workflows. You&rsquo;ll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows. You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines, finetuning and evaluation frameworks), turning insights into scalable product features. Most importantly, you&rsquo;ll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale.</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></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required</b><b> </b><b>Minimum Qualifications:</b></div><ul><li>
Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.</li></ul><ul><li>
5+ years experience with strong proficiency in Python, machine learning frameworks<b>,</b> and experience developing and deploying generative AI or machine learning models into production. (Experience with additional programming languages is a plus but not required.)</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Masters or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significant appropriate experience will be considered).</li></ul><ul><li>
Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.</li></ul><ul><li>
Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.</li></ul><ul><li>
Experience with LLMs in natural language, AI for code or related fields</li></ul><ul><li>
Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills.</li></ul><ul><li>
Experience in productizing AI and collaborating with multidisciplinary teams.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li>
Research and productization of state-of-the-art in AI for Software Engineering.</li></ul><ul><li>
Build and manage large-scale AI experiments and models.</li></ul><ul><li>
Drive experimentation through A/B testing and offline validation to evaluate model performance.</li></ul><ul><li>
Collaborate across disciplines and geographies with product teams in Microsoft and Github, integrate AI across software development stack for Copilot.</li></ul><ul><li>
Stay up to date with the research literature and product advances in AI for software engineering</li></ul></div></div></div></div><p></p><div><div><div><br>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Applied Scientist 2

<div>
 The information extraction team in shopping is seeking a highly motivated and talented
 <strong>
  Applied Scientist
 </strong>
 to work on cutting-edge technologies in the field of information extraction in the shopping domain.
 <br/>
 <br/>
 As an Applied Scientist you will gain extensive experience in information extraction using the latest AI advances and LLMs. You will gain valuable experience in building real-world information extraction systems at a Web scale. This opportunity will allow you to use cutting-edge AI technologies, accelerate your career growth and develop deep business acumen.
 <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/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.
  </li>
  <li>
   You will apply strategies provided by senior team members. Following guidance from team leaders, you&rsquo;ll also research relevant tools and technologies being used in the community.
  </li>
  <li>
   You will reinforce a positive environment by learning and adopting best practices. Additionally, you will also maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.
  </li>
  <li>
   You will assist with documentation for senior team members, as needed.
  </li>
  <li>
   You will also learn and follow ethics and privacy policies while executing research processes or collecting information.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifcations:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Electrical or Computer Engineering or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   You must be legally authorised to work in Egypt to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)
  </li>
  <li>
   Fluency in English
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Computer Science, Electrical or Computer Engineering,
  </li>
  <ul>
   <li>
    OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   Solid machine learning/AI/LLM knowledge.
  </li>
  <li>
   Experience building and deploying ML/Ai systems including investigation, prototyping, deployment and continuous measurement.
  </li>
  <li>
   Solid knowledge of python/other ML languages and frameworks.
   <br/>
  </li>
 </ul>
 #MicrosoftAI #LLMs #InformationExtraction #WebScale #Shopping
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>


Applied Scientist

<div></div><div><h1 class="jobSectionHeader"><b>Senior Applied Scientist</b></h1><div><div><p>
Bangalore, Karnataka, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 04, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1871583</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
25-50</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><p>
The Data and Artificial Intelligence team in Microsoft&rsquo;s Developer Division, part of newly formed CoreAI group, is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots.</p><p></p><p><br>
We are looking for a passionate and growth-oriented <b>Senior Applied Scientist</b> to join our team working on high-impact projects at the intersection of AI and software engineering. As an Applied Scientist, you will play a pivotal role in development and application of advanced data science techniques&mdash;especially those involving LLMs&mdash;to real-world developer workflows. You&rsquo;ll collaborate closely with data scientists, engineers, researchers, and product teams across Microsoft and GitHub to shape the next generation of AI-powered developer workflows. You will have the opportunity to design and lead experiments, build and evaluate state-of-the-art models (including RAG pipelines, finetuning and evaluation frameworks), turning insights into scalable product features. Most importantly, you&rsquo;ll play a key role in bridging cutting-edge research and production, using data to inform decisions, drive iteration, and deliver measurable impact at scale.</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></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required</b><b> </b><b>Minimum Qualifications:</b></div><ul><li>
Undergraduate degree in Computer Science, Engineering, Mathematics, Statistics.</li></ul><ul><li>
6+ years experience with strong proficiency in Python, machine learning frameworks<b>,</b> and experience developing and deploying generative AI or machine learning models into production. (Experience with additional programming languages is a plus but not required.)</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Masters or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significant appropriate experience will be considered).</li></ul><ul><li>
Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.</li></ul><ul><li>
Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.</li></ul><ul><li>
Experience with LLMs in natural language, AI for code or related fields</li></ul><ul><li>
Excellent communication skills, ability to present and write reports, strong teamwork and collaboration skills.</li></ul><ul><li>
Experience in productizing AI and collaborating with multidisciplinary teams.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li>
Research and productization of state-of-the-art in AI for Software Engineering.</li></ul><ul><li>
Build and manage large-scale AI experiments and models.</li></ul><ul><li>
Drive experimentation through A/B testing and offline validation to evaluate model performance.</li></ul><ul><li>
Collaborate across disciplines and geographies with product teams in Microsoft and Github, integrate AI across software development stack for Copilot.</li></ul><ul><li>
Stay up to date with the research literature and product advances in AI for software engineering</li></ul></div></div></div></div><p></p><div><div><div><br>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Senior Applied Scientist

<div></div><div><h1 class="jobSectionHeader"><b>Applied Scientist</b></h1><div><div><p>
Cairo, Egypt</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Sep 02, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1863248</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Research, Applied, &amp; Data Sciences</b></div></div></div><div><div><div>
Discipline</div><div><b>
Applied Sciences</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
The information extraction team in shopping is seeking a highly motivated and talented <b>Applied Scientist</b> to work on cutting-edge technologies in the field of information extraction in the shopping domain.</div><div><br>
As an Applied Scientist you will gain extensive experience in information extraction using the latest AI advances and LLMs. You will gain valuable experience in building real-world information extraction systems at a Web scale. This opportunity will allow you to use cutting-edge AI technologies, accelerate your career growth and develop deep business acumen.<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.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifcations:</b></div><ul><li>
Bachelor's Degree in Computer Science, Electrical or Computer Engineering or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)<br>
<ul><li>
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.</li></ul></li><li>
You must be legally authorised to work in Egypt to be eligible for this role (Legally authorised = has citizenship or has been granted a valid visa or work permit)</li><li>
Fluency in English</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Bachelor's Degree in Computer Science, Electrical or Computer Engineering,<br>
<ul><li>
OR related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)<br>
</li><li>
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field<br>
</li><li>
OR equivalent experience.<br>
</li></ul></li><li>
Solid machine learning/AI/LLM knowledge.</li><li>
Experience building and deploying ML/Ai systems including investigation, prototyping, deployment and continuous measurement.<br>
</li><li>
Solid knowledge of python/other ML languages and frameworks.</li></ul><div></div><div><br>
#MicrosoftAI #LLMs #InformationExtraction #WebScale #Shopping</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
You will gain a basic understanding of a broad area of research and applicable research techniques. You&rsquo;ll also develop a basic knowledge of industry trends and share your knowledge with immediate team members.</li><li>
You will apply strategies provided by senior team members. Following guidance from team leaders, you&rsquo;ll also research relevant tools and technologies being used in the community.</li><li>
You will reinforce a positive environment by learning and adopting best practices. Additionally, you will also maintain or develop ties with an external network of peers and identify prospective talent for Microsoft research pipelines when asked.</li><li>
You will assist with documentation for senior team members, as needed.
</li><li>You will also learn and follow ethics and privacy policies while executing research processes or collecting information.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

<div><div>Are you interested in developing next-generation visual/screen models? Our team is at the forefront in redefining the PC with Copilot+ AI-powered capabilities that are intelligent, secure, and efficient. We&rsquo;re building a faster, more intuitive, and human-centric computing future.</div><div></div><div><br>
We are seeking a highly motivated <b>Senior Applied Scientist</b> to join our team in building cutting-edge visual models optimized for on-device inference. This role is ideal for candidates passionate about deep learning, model optimization, and deploying efficient AI solutions on constrained hardware platforms.</div><div><br>
As a Senior Applied Scientist, you will work with a cross-functional team to bring vision and UI-centric models to life by training models, developing datasets for training/evaluation, and balancing requirements including inference time, power consumption, and model accuracy. This opportunity will allow you to grow your capabilities with deep learning, model optimization, and deploying efficient AI solutions on constrained hardware platforms.</div><div><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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Be part of a team contributing to pre- and post-training efforts for visual models pertaining to screen understanding.</li><li>
Explore and implement Transformer-based architectures and suggest architectural improvements for efficiency and scalability.</li><li>
Use techniques like distillation, adapters, and Low Rank Adapters (LoRAs) to build upon existing models.</li><li>
Optimize models for on-device inference using techniques such as quantization and debugging models.</li>
Conduct performance tuning and model evaluation across diverse silicon platforms (e.g., Neural Processing Units<li>-NPUs, GPUs, custom accelerators).</li><li>
Collaborate with cross-functional teams to integrate models into production pipelines and validate performance in real-world scenarios.</li><li>
Contribute to internal model libraries and tooling for deployment across multiple hardware toolchains.</li><li>
Embody our Culture and Values.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><ul><li><div>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)</div><ul><li><div>
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)</div></li><li><div>
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)</div></li><li><div>
OR equivalent experience.</div></li></ul></li><li>
Solid experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and model compression techniques.</li><li>
Experience with model evaluation metrics and benchmarking across platforms.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li><div>
Prior experience training models with custom architectures and tuning architectures to optimize for inference time.</div></li><li>
Proven track record in quantization, performance tuning, and deploying models on edge devices.<br>
</li><li>
Familiarity with silicon-specific optimization strategies.<br>
</li><li>
Hands-on experience with Qualcomm QNN, Intel OpenVINO, or similar toolchains.</li></ul><div>
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.<br>
<br>
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<br>
<br>
Microsoft will accept applications for the role until September 14, 2025.</div><div></div><div><br>
#W+DJOBS</div><div>
#ASG</div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Specright

<div><p><b>Job Title: </b>Applied Scientist<br>
</p><br>
<p><b>Job Summary:
</b></p><p>Specright is seeking a highly motivated and skilled Applied Scientist to join our Shared Services team. In this role, you will apply scientific and analytical expertise to solve real-world business challenges, leveraging deep knowledge in data science, algorithms, and system design. You will work cross-functionally with Engineering and Product Management teams to develop and implement data-driven solutions that scale across our cloud-based platform.</p><p>
Specright offers cloud-based software (SaaS) for specification data management to Enterprise and Mid-Market companies with complex needs. Whether it's packaging, formulas, or products, Specright helps companies reduce costs and drive efficiencies by enabling the sharing, analysis, and auditing of specification data.</p><p><b>
Responsibilities and Duties</b></p><ul><li>
Research and evaluate emerging AI/ML tools and methodologies to assess their applicability and value within Specright's SaaS platform.</li><li>
Translate academic research and industry trends into innovative, real-world solutions that address key business and customer challenges.</li><li>
Design, implement, and optimize models, algorithms, and simulations to enhance performance across supply chain and specification management workflows.</li><li>
Analyze large, complex datasets to uncover patterns, generate actionable insights, and produce intuitive visualizations that drive strategic decisions.</li><li>
Collaborate closely with cross-functional teams-including Product and Engineering-to integrate scientific solutions into scalable production systems.</li><li>
Write clean, maintainable, and efficient code to operationalize models and algorithms within Specright's cloud infrastructure.</li><li>
Measure and communicate the business impact of scientific solutions to inform prioritization, product strategy, and stakeholder alignment.</li></ul><p><b>
Qualifications</b></p><ul><li>
Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field</li><li>
Demonstrated ability to translate academic research and emerging AI/ML techniques into real-world, production-ready solutions</li><li>
Hands-on experience developing and deploying scalable machine learning models</li><li>
Proficient in working with large, complex datasets to extract insights and drive decision-making</li><li>
Proficiency in Python (or similar languages), with experience using modern AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>
Strong analytical and problem-solving skills, with a track record of delivering creative and practical solutions</li><li>
Effective communicator and collaborative team player, comfortable working across technical and non-technical stakeholders</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Master's or Ph.D degree in Computer Science, Machine Learning, Data Science, or a related field</li><li>
Experience with developing, deploying, and maintaining AI/ML models in cloud-based environments such as AWS</li><li>
Experience working with LLMs</li></ul><p><b>
About Specright</b></p><p>
Specright is the first purpose-built, patented platform for Specification Management. Whether it's</p><p>
packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Recognized as a leader in Specification Management, Specright was named to the Deloitte Fast Technology 500 list in 2024, one of Fast Company's Most Innovative Companies for 2023, had three executives honored as SupplyDemand Chain Executive Pros to Know in 2023 and won Food Logistics' 2022 Top SoftwareTechnology Provider award. For more information, visit: www.specright.com.</p><p><b>
Location</b></p><p>
Cairo, Egypt.</p><p><b>
Culture</b></p><p>
We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas and information. It's more important to innovate, then worry about making mistakes.</p><p><b>
Perks</b></p><ul><li>
Competitive salaries</li><li>
Flexible work hours</li><li>
Full benefits package that includes Medical, Vision, and Dental</li></ul></div>

<div><div><b>Are you an applied scientist with a passion for applying state-of-the-art AI innovations to augment human creativity?</b> Join us as we grow the M365 Copilot Create ML team, where we are revolutionizing visual creation within the M365 Copilot, Microsoft Designer, Photos. Located in Noida, we're pushing the limits of machine learning to help create information workers to create the world&rsquo;s best designs.</div><div></div><div><br>
As a <b>Applied Science II</b> in the Create ML team, you will work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research and various product groups. You will have the opportunity to develop cutting-edge visual creation models and build top tier visual creation experience in M365 Copilot. This role is crucial for driving innovation and creating modern, inclusive, and intelligent design experiences used by millions worldwide.</div><div>
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.</div><div></div><div><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.</div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
You will work on machine learning (ML) projects across various domains like natural language processing (NLP), Vision and harness LLMs, VLMs, and Diffusion models to deliver visual AI solutions for our customers.</li><li>
You will get the opportunity of working in a fast-paced environment developing algorithms and techniques leveraging text, and images for analyzing and transforming content to build solutions that have the potential to transform people&rsquo;s lives.</li><li>
You will work with engineering partner teams on the model integration/flight/maintenance.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><b>
Required Qualifications:</b></div><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)<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>
Proficiency in Python and relevant ML libraries (e.g., PyTorch).</li><li>
Experience with LLM/VLM/diffusion models (e.g., GPT, Deepseek-R1, Stable diffusion, Phi-V, Qwen).</li><li>
Technical background in coding and design, specifically in the development of AI models for scaled production services.</li><li>
Demonstrated success in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.</li><li>
Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.</li><li>
Grounded in growth mindset, and advocate for diversity and inclusion.</li><li>
Customer obsessed and passionate about product impact.</li></ul><div></div>
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div>

Applied Scientist II

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