applied scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
interviewing tips on Instagram, and discover projects we're solving on our Blog.<br>
<br>
About the Role<br>
<br>
We are looking for an Applied Scientist to solve challenging and open-ended problems in the domain of recommendations, search, ranking and information retrieval. As an Applied Scientist on Twitch's Community team, you will use ML to help viewers find streamers and communities they&rsquo;ll love. You will collaborate with a team of passionate scientists and engineers to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.<br>
<br>
You will report to the Applied Science Manager on the Community Discovery Team.<br>
<br>
You can work in San Francisco, CA or Seattle, WA.
<br>
<br>
You Will<br>
<br>
<ul><li>Develop ML algorithms for recommendations, ranking and search problems that can improve discovery on Twitch.</li><li>Collaborate with senior scientists and engineers to deploy ML code in production.</li><li>Collaborate with our Product and Engineering teams to work backwards from customer discovery problems, in order to determine the ML solution (algorithm and pipeline) that will have the biggest impact on our user base in the real world.</li><li>Participate in the scientific community at Twitch, Amazon, and the broader ML and risk community.</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>BS or MS or PhD in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, with relevant industry experience. We welcome applicants with non-traditional backgrounds. We welcome applicants with non-traditional backgrounds.</li><li>Hands-on experience with predictive modeling and analysis to solve real-world problems.</li><li>Proficiency with Python and Deep Learning Frameworks such as PyTorch or Tensorflow, basic proficiency with SQL.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>MS/PhD in relevant fields or a Degree with a specialization in Machine Learning.</li><li>Experience shipping your models to production.</li><li>1+ years of experience working in recommendations or search.</li><li>Papers in top ML conferences of journals such as Neurips, Recsys, ICLR, ICML etc.</li><li>Familiarity with Twitch, its business, and its community.</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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 $129,400/year in our lowest geographic market up to $212,800/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

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

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale.
<br>
<br>
You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and build agents to guide advertisers in conversational and non-conversational experience.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).</li><li>Curate datasets and tools for MCP.
</li><li>Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.<br>
<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
<br>
Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in designing experiments and statistical analysis of results</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</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>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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>

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Senior 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 30, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1884261</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>
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.</div><div><br>
We are seeking a <b>Senior Applied Scientist</b> 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.</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.<br>
</li></ul></li><li>
3+ years of industry experiences in machine learning or Natural Language Processing.<br>
</li><li>
Experience with LLMs (prompting, fine tuning, deployment).<br>
</li><li>
Experience with coding including programming language, including, but not limited to, Python, C, C++, C#, Java, JavaScript.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Demonstrated ability to be productive and effective in a highly collaborative environment.</li><li>
Experience in Big Data machine learning with Cosmos/Scope/Spark/.<br>
</li><li>
Experience with design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence.</li></ul><div></div><div><br>
#MicrosoftAI #LLM #Shopping #Personalization #FineTuning #Prompting</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><div><ul><li>
Leverage state-of-art machine learning techniques to provide best personalized experience to end users.</li><li>
Originate, implement, and iterate on machine learning features &amp; models to keep improving our product quality.</li><li>
Closely collaborate with different teams within Microsoft to expose best personalized contents to end users, enable agile development &amp; experiments, deliver cross-team impact.</li><li>
Team lead and mentor resources across projects.</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><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 10, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1893032</b></div></div></div><div><div><div>
Work site</div><div><b>
3 days / week in-office</b></div></div></div><div><div><div>
Travel</div><div><b>
None</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>
Do you want to shape the future of the autonomous enterprise and lead the development of intelligent, agent-first experiences that transform how businesses operate? The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You&rsquo;ll lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making. You&rsquo;ll collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible&mdash;empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.</div><div>
The ideal candidate has prior expertise in natural language processing (NLP), with a strong foundation in large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques&mdash;including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation&mdash;to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential. The candidate should be comfortable working in a fast-paced, experimentation-driven environment, leveraging both offline and online evaluation methods to iterate rapidly and optimize agent behavior. A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><p><b>
Required</b><b> Qualifications</b></p><ul><li>
Bachelor's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)</li></ul><ul><li>
OR Master's Degree in Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li></ul><ul><li>
OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research)</li></ul><ul><li>
OR equivalent experience.</li><li>
1+ years of experience with generative AI OR LLM/ML algorithms</li></ul><div></div><div><b><br>
Preferred Qualifications:</b></div><ul><li>
Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines</li></ul><ul><li>
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)</li></ul><ul><li>
3+ years of experience publishing in peer-reviewed venues or filing patents .</li></ul><ul><li>
Experience presenting at conferences or industry events
</li></ul>3+ years of experience conducting research in academic or industry settings<br>
<ul><li>
</li><li>
1+ year of experience developing and deploying live production systems</li></ul>
1+ years of experience working with Generative AI models and ML stacks<br>
<ul><li>
</li><li>
Experience across the product lifecycle from ideation to shipping</li></ul><div></div><div><b><br>
Other Requirements</b></div><p><br>
bility 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><br>
<p></p><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.</li></ul><p></p><p><b><br>
#BICJobs</b></p></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li><b>
Deliver impactful solutions</b> by executing high&#8209;leverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes.</li></ul><ul><li><b>
Lead the design and implementation</b> of advanced model fine&#8209;tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real&#8209;world scenarios.</li></ul><ul><li><b>
Own complex, end&#8209;to&#8209;end projects</b> that combine technical depth with cross&#8209;functional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions.</li></ul><ul><li><b>
Foster alignment and trust</b> across partner teams through clear, actionable communication and collaborative problem&#8209;solving.</li></ul><ul><li><b>
Develop and maintain </b>robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise&#8209;scale environments.</li></ul><ul><li><b>
Mentor and support</b> peers by sharing best practices, reviewing designs, and contributing to a collaborative, high&#8209;performance team culture.</li></ul><ul><li><b>
Leverage AI to</b> streamline workflows and enhance team productivity through intelligent automation 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><div>Are you an <b>Applied Scientist II</b> passionate about building intelligent systems that enhance productivity in Office applications? Do you have a strong foundation in machine learning, natural language processing (NLP), and software engineering? Join our team of applied scientists and engineers working at the forefront of generative AI to shape the future of productivity tools.</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>
Applied Research &amp; Development: Contribute to the design and implementation of machine learning models and algorithms for search, summarization, and content understanding in Office applications.</li><li>
Model Development: Build and fine-tune ML/DL models using frameworks like PyTorch or TensorFlow. Collaborate on deploying models in production environments with a focus on scalability and performance.</li><li>
Cross-Functional Collaboration: Work closely with engineering, product, and research teams to translate business needs into technical solutions and deliver impactful features.</li><li>
Experimentation &amp; Evaluation: Conduct experiments, analyze results, and iterate on solutions to improve precision, recall, and user satisfaction.</li><li>
Innovation: Stay current with research trends in generative AI and NLP. Explore new signals, data sources, and modeling techniques to evolve intelligent systems and contribute to the Copilot ecosystem.</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>
2+ years of industry experience in applied machine learning or data science roles.</li><li>
Proficiency in Python and ML libraries such as PyTorch or TensorFlow.</li><li>
Experience developing and evaluating generative AI models.</li><li>
Familiarity with NLP techniques and content understanding.</li></ul><div><b>
Preferred Qualifications:</b></div><ul><li>
Solid verbal and written communication skills to explain complex technical concepts to diverse audiences.</li><li>
Ability to tackle open-ended problems and deliver practical, scalable solutions.</li><li>
Experience deploying ML models in production environments.</li><li>
Exposure to full product lifecycle from prototyping to deployment and iteration.</li><li>
Contributions to research publications, patents, or open-source projects.</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

<div><div>The Business &amp; Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.</div><div></div><div><br>
We are looking for a Senior Applied Scientist to join our team!</div><div></div><div><br>
The Business and Industry Solutions (BIS) team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI, experimentation, and enterprise systems. In this role, you will design and evaluate autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency. You&rsquo;ll lead rapid experimentation cycles, develop robust evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making.</div><div></div><div><br>
You will collaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible&mdash;empowering customers and partners to build on our platform. This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale.</div><div></div><div><br>
This role would be ideal for an individual who has prior expertise in natural language processing (NLP), with a strong foundation in large language model (LLM) development, evaluation, and fine-tuning. They should have hands-on experience in applying advanced fine-tuning techniques&mdash;including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation&mdash;to build agents capable of multi-step reasoning and decision-making. Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs is essential.</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><b>
Deliver impactful solutions</b> by executing high&#8209;leverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes.</li><li><b>
Lead the design and implementation</b> of advanced model fine&#8209;tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real&#8209;world scenarios.</li><li><b>
Own complex, end</b><b>&#8209;</b><b>to</b><b>&#8209;</b><b>end projects</b> that combine technical depth with cross&#8209;functional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions.</li><li><b>
Develop and maintain </b>robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise&#8209;scale environments.</li><li><b>
Leverage AI to</b> streamline workflows and enhance team productivity through intelligent automation and innovation.</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 4+ years related experience (e.g., statistics, predictive analytics, research)</li><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+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li><li>
1+ year(s) experience developing and deploying live production systems, as part of a product team.</li></ul><div></div><div><b><br>
Other Requirements</b></div><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: Microsoft Cloud Background Check:</li><li>
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><div></div><div><b><br>
Preferred Qualifications:</b></div><ul><li>
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li><li>
Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.</li><li>
3+ years experience conducting research as part of a research program (in academic or industry settings).</li><li>
1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.</li></ul><div></div><div><br>
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
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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.</div><div></div><div><br>
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.
<br>
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 $188,000 - $304,200 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
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Microsoft will accept applications and processes offers for these roles on an ongoing basis.</div><div></div><div><br>
#BICJobs</div><br>
<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>

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