applied scientist

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 8 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

Microsoft

<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>
Oct 28, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1903217</b></div></div></div><div><div><div>
Work site</div><div><b>
4 days / week in-office</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>
Microsoft Advertising empowers businesses to reach global audiences with precision and creativity. We build cutting-edge technology that connects advertisers and consumers across search, display, video, and emerging media platforms. We are seeking a <b>Senior Applied Scientist</b> to drive innovation in training and deploying SLM/LRM for advertising. In this role, you will lead initiatives that address core challenges in ad retrieval, creative generation, relevance, and safety, contributing to the future of responsible, high-impact advertising solutions.</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></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><ul><li>
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)
<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>
Expertise in training and deploying LLMs.</li><li>
Deep understanding of transformer architectures, large-scale distributed training, and model optimization.</li><li>
Solid programming skills in Python, C++, and familiarity with frameworks like PyTorch or TensorFlow.</li></ul><div><div><b>
Other Requirements:</b></div><div><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:</div><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><b>
Preferred Qualifications:</b></div><ul><li>
Experience with ads systems, search ranking, recommendation engines, or ad safety models is highly desirable.</li><li>
Experience in reinforcement learning, multi-agent systems, or decision-making frameworks.</li></ul><div></div><div><br>
#MicrosoftAI</div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
Design, develop, and train Large Language/Retrieval models for advertising scenarios.</li><li>
Innovate on model architectures and training strategies to enhance ad retrieval, generation, and relevance at scale.</li><li>
Build solutions that proactively address ad safety, including detection of deceptive or harmful content.</li><li>
Collaborate cross-functionally with product and engineering teams to integrate models into production systems and validate their impact.</li><li>
Lead technical exploration and research efforts, staying at the forefront of advancements in AI and advertising technology.</li><li>
Mentor junior scientists and contribute to a culture of technical excellence and innovation.</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><p>Within AI Platform, the <b>GenAI Systems</b> team in <b>Azure AI</b> is seeking a <b>Principal </b><b>Applied Scientist </b>to lead the development of <b>customized LLM solutions</b> for diverse customer needs. This role focuses on <b>fine-tuning, distillation, synthetic data generation, and custom model development</b>, enabling enterprises to build optimized, scalable AI systems.</p><p>
 Why Join Us?</p><ul><li>
Be part of a dynamic team shaping the future of AI and language models</li><li>
Work on high-impact projects with global reach</li><li>
Collaborate with leading experts in the field</li><li>
Enjoy a flexible and inclusive work environment</li></ul><p>
If you're passionate about AI, love tackling complex challenges, and want to contribute to the next generation of language models, we'd love to hear from you!</p><p>
Apply now and let's build the future together.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p><b>
Responsibilities:</b></p><ul><li>
Optimize model performance, scalability, and efficiency</li><li>
Conduct experiments to evaluate model performance, robustness, and generalization</li><li>
Implement customization techniques for various NN based architectures</li><li>
Explore novel techniques and approaches to enhance model capabilities</li><li>
Stay up-to-date with the latest advancements in NLP, deep learning, and AI research</li><li>
Work with large-scale datasets, preprocess them, and create appropriate data representations</li><li>
Select relevant features and ensure data quality for training and evaluation</li><li>
Develop and deploy customized LLM solutions for customer scenarios</li><li>
Optimize models using fine-tuning, distillation, and synthetic data generation</li><li>
Mentor and guide team members to foster innovation and technical excellence</li><li>
Build novel data generation solutions to synthesize complex speech scenarios and finetune models.</li><li>
Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.</li><li>
Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.</li><li>
Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.</li><li>
Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p><b>
Qualifications</b></p><ul><li>
10+ years of experience in machine learning, with a strong focus on GenAI and LLMs</li><li>
Depth in Data Science, Generative AI and Engineering</li><li>
Ph.D. or Master&rsquo;s in CS, AI, or a related field</li><li>
Hands-on experience with LLM fine-tuning, model compression, and synthetic data generation preferred</li></ul><ul><li>
A strong background in machine learning, deep learning, and natural language processing</li><li>
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)</li><li>
Experience with transformer-based models (e.g., BERT, GPT, T5, Llama)</li><li>
Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing</li><li>
Solid understanding of statistics, linear algebra, and probability theory is preferred</li><li>
Excellent problem-solving skills and the ability to work independently and collaboratively</li><li>
Proven ability to build, optimize, and scale AI models in production.</li></ul><p></p><p><br>
#aip #aiplatform #aipidc</p><p></p><div><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: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</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>

Principal Applied Scientist

<div>
 Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft&rsquo;s ecosystem including BizChat, Office and Windows.
 <br/>
 <br/>
 As a
 <strong>
  Applied Scientist II
 </strong>
 in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more.
 <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>
   Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them.
  </li>
  <li>
   Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets.
  </li>
  <li>
   Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration.
  </li>
  <li>
   This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued.
  </li>
  <li>
   You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., AI, ML, statistics, research)
  </li>
  <ul>
   <li>
    OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., AI, ML, 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.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., AI, ML, statistics, predictive analytics, research)
  </li>
  <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 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
   </li>
   <li>
    OR equivalent experience.
   </li>
  </ul>
  <li>
   1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
   <br/>
  </li>
 </ul>
 #M365Core
 <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 II

<div><div>Do you want to be part of a team which delivers innovative products and machine learning solutions across Microsoft to hundreds of millions of users every month? Microsoft Turing team is an innovative engineering and applied research team working on state-of-the-art deep learning models, large language models and pioneering conversational search experiences. The team spearheads the platform and innovation for conversational search and the core copilot experiences across Microsoft&rsquo;s ecosystem including BizChat, Office and Windows.</div><div><br>
As a <b>Applied Scientist II</b> in the Turing team, you will be involved in tight timeline-based hands on data science activity and work, including training models, creating evaluation sets, building infrastructure for training and evaluation, and more.<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><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul><li>
Driving projects from design through implementation, experimentation and finally shipping to our users. This requires deep dive into data to identify gaps, come up with heuristics and possible solutions, using LLMs to create the right model or evaluation prompts, and setup the engineering pipeline or infrastructure to run them.</li><li>
Come up with evaluation techniques, datasets, criteria and metrics for model evaluations. These are often SOTA models or metrics / datasets.</li><li>
Hands on own the fine-tuning, use of language models, including dataset creation, filtering, review, and continuous iteration.</li><li>
This requires working in a diverse geographically distributed team environment where collaboration and innovation are valued.
</li><li>You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our deep learning technology</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 3+ years related experience (e.g., AI, ML, statistics, research)
<ul><li>OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., AI, ML, 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></ul><div><b>
Preferred Qualifications:</b></div><div><ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., AI, ML, 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 3+ 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></ul><p></p><div><div><br>
#M365Core</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></div></div>

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a passionate Applied Scientist (AS) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals.<br>
<br>
Key job responsibilities<br>
As an AS on our team, you will:<br>
<ul><li>Handle challenging problems that directly impact millions of creators and customers</li><li>Independently collect and analyze data</li><li>Develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software</li><li>Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research</li><li>Consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software</li><li>Participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the creators organization</li></ul><br>
The successful candidate is a self-starter, comfortable with a dynamic, fast-paced environment, and able to think big while paying careful attention to detail. You have deep knowledge of an area/multiple areas of science, with a track record of applying this knowledge to deliver science solutions in a business setting and a demonstrated ability to operate at scale. You excel in a culture of invention and collaboration.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>2+ years of building models for business application experience</li><li>2+ years of hands-on predictive modeling and large data analysis experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in designing experiments and statistical analysis of results</li><li>Experience in investigating, designing, prototyping, and delivering new and innovative system solutions</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Creators

<div>
 Join the Microsoft Shopping team! We deliver smart shopping experiences with personalization, savings, transparency, and convenience, ensuring confidence in every purchase. Microsoft Shopping is your personal shopping companion, empowering customers to shop smarter and discover what they love. By harnessing the power of AI (artificial intelligence), LLMs (large language models) and LLM-based Agents, we are building best-in-class shopping experiences across Bing, MSN, and Edge. If you are passionate about transforming the online shopping experience for millions of users, this role is for you.
 <br/>
 <br/>
 We are seeking an
 <strong>
  Applied Scientist II
 </strong>
 who is passionate about machine learning, data analysis, and ML (machine learning) modeling to join our team. Your expertise will drive innovation and ensure the team is aligned with the Microsoft Shopping vision. This position offers a unique blend of scientific research, innovation, and strategic influence, allowing you to make a significant impact on both the team and the overall shopping experience at Microsoft Shopping.
 <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>
   Expertise Development: Gain deep knowledge of our recommendation systems, platforms, and domains, staying updated with the latest industry trends and applied technologies in ML, AI and LLMs to Recommendations.
  </li>
  <li>
   Mentorship and Team Support: Reinforce a positive environment, support mentorship, and assist with onboarding of early in career team members.
  </li>
  <li>
   Documentation and Ethics: Document work in progress, share findings to promote innovation, present to stakeholders, and follow ethics and privacy policies during research processes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Required Qualifications:
 <br/>
 <br/>
 <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)
  </li>
  <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>
   2+ years of experience with machine learning, data analysis, and modeling.
   <br/>
  </li>
 </ul>
 <strong>
  Other Requirements
  <br/>
  <br/>
 </strong>
 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>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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)
  </li>
  <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>
   1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
  </li>
  <li>
   Experience in the shopping domain and recommendation systems.
   <br/>
  </li>
 </ul>
 #MicrosoftAI #Shopping #GenerativeAI #LLM
 <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.
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