technical research scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We're seeking an Applied Scientist to lead and innovate in applying advanced AI technologies that will reshape how businesses sell on Amazon. Our team is passionate about leveraging Machine Learning, GenAI, and Agentic AI to help B2B sellers optimize their operations and drive growth.<br>
<br>
Join Amazon Business 3P (Third Party - Sellers) - a rapidly growing global organization where we innovate at the intersection of AI technology and B2B commerce. We're reimagining how sellers reach and serve business customers, creating intelligent solutions that help them grow their B2B business on Amazon. From AI-powered Seller Central tools to smart business certifications, dynamic pricing capabilities, and advanced analytics, we're transforming how B2B selling happens.<br>
<br>
As an Applied Scientist II on our AB 3P Tech team, you'll drive the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning. You'll work with highly technical, entrepreneurial teams to:<br>
<ul><li>Design and implement AI models that power the B2B selling experience</li><li>Lead the development of GenAI products that can handle Amazon-scale use cases</li><li>Drive research and implementation of advanced algorithms for human feedback and complex reasoning</li><li>Make strategic AI technology decisions and mentor technical talent</li><li>Own critical AI systems spanning from Seller Central to Amazon Business detail pages</li></ul><br>
Join us in shaping the future of B2B selling - we're building applied AI solutions that businesses love and trust for their day-to-day success. If you are scrappy and bias for action is your favorite Leadership Principle, you'll fit right in as we innovate across the seller experience to create significant impact in this fast-growing business.<br>
<br>
Key job responsibilities<br>
Key job responsibilities:<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems</li><li>Communicate results and insights to both technical and non-technical audiences</li></ul><br>
About the team<br>
At Amazon Business Third Party (AB3P) Tech, we're revolutionizing B2B e-commerce by empowering sellers in the business marketplace. Our scope spans the complete B2B selling journey, from Seller Central to Amazon Business detail pages, cart, and checkout for merchant-fulfilled offers.<br>
<br>
Our entrepreneurial culture and global reach define us. We develop features across seller experience, delivery, certifications, fees, registration, and analytics, collaborating with worldwide teams and leveraging advanced AI technologies to continuously innovate. Working in true Day 1 spirit, we build next-generation solutions that shape the future of B2B commerce.<br>
<br>
Join us in building next-generation solutions that shape the future of B2B commerce.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><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.</div>

Applied Scientist II, Amazon Business 3P

Cytiva

<div>
 <strong>
  Bring more to life.
  <br/>
  <br/>
 </strong>
 Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
 <br/>
 <br/>
 At Cytiva, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact.
 <br/>
 <br/>
 You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life.
 <br/>
 <br/>
 Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
 <br/>
 <br/>
 At Cytiva you will be able to continuously improve yourself and us &ndash; working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
 <br/>
 <br/>
 Learn about the Danaher Business System which makes everything possible.
 <br/>
 <br/>
 The R&amp;D team at Cytiva is responsible for the design, development, test, verification and validation of Cytiva&rsquo;s instruments and technology solutions across the bioprocess continuum.
 <br/>
 <br/>
 As a
 <strong>
  Scientist
 </strong>
 with the India R&amp;D team, you will perform hands-on laboratory work to establish the products under development meet intended use. You are also expected to support efforts to analyze and provide innovative solutions to address our customer needs.
 <br/>
 <br/>
 This role requires strong scientific and technical expertise in upstream technologies, specifically to run cell cultures and operate bioreactors. Knowledge of process development and scaling strategies will be advantageous.
 <br/>
 <br/>
 This position reports to the
 <strong>
  Manager &ndash; Applied Sciences
 </strong>
 and is part of the
 <strong>
  Central Technology Organization (CTO) R&amp;D department
 </strong>
 located in
 <strong>
  Bangalore
 </strong>
 . It will be an on-site role.
 <br/>
 <br/>
 <strong>
  What Will You Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Serve as the technical bridge between users and the engineering team helping translate user requirements to system specifications and helping validate that the finished products meet intended-use.
  </li>
  <li>
   Plan, design and execute upstream experiments (cell culture, bioreactor operations), to test technology hypotheses.
  </li>
  <li>
   Undertake experimental optimization of process parameters for robustness and scalability.
  </li>
  <li>
   Analyze data using standard techniques; prepare clear reports to meet requirements of our quality management system
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in Biotechnology, Biochemical Engineering, or related field.
  </li>
  <li>
   3+ years of hands-on experience in upstream bioprocessing, preferably in a biopharmaceutical manufacturing or life sciences product development environment.
  </li>
  <li>
   Familiarity with cGMP guidelines and laboratory safety practices.
  </li>
  <li>
   Passion for hands-on lab work and upskilling to emergent technologies.
  </li>
  <li>
   Ability to solve straightforward problems independently.
  </li>
  <li>
   Good communication skills and ability to work effectively in a cross-functional team environment.
   <br/>
   <br/>
  </li>
 </ul>
 Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.
 <br/>
 <br/>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 <br/>
 <br/>
 For more information, visit www.danaher.com.
</div>


Scientist - Upstream Technologies

<div><p><b>Bring more to life.</b></p><p></p><p>
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?</p><p></p><p>
At Cytiva, one of Danaher&rsquo;s 15+ operating companies, our work saves lives&mdash;and we&rsquo;re all united by a shared commitment to innovate for tangible impact.</p><p></p><p>
You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher&rsquo;s system of continuous improvement, you help turn ideas into impact &ndash; innovating at the speed of life.</p><p></p><p>
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.</p><p></p><p>
At Cytiva you will be able to continuously improve yourself and us &ndash; working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.</p><p></p><p>
Learn about the Danaher Business System which makes everything possible.</p><p></p><p>
The R&amp;D team at Cytiva is responsible for the design, development, test, verification and validation of Cytiva&rsquo;s instruments and technology solutions across the bioprocess continuum.</p><p>
As a <b>Scientist</b> with the India R&amp;D team, you will perform hands-on laboratory work to establish the products under development meet intended use. You are also expected to support efforts to analyze and provide innovative solutions to address our customer needs.</p><p>
This role requires strong scientific and technical expertise in upstream technologies, specifically to run cell cultures and operate bioreactors. Knowledge of process development and scaling strategies will be advantageous.</p><p>
 This position reports to the <b>Manager &ndash; Applied Sciences </b>and is part of the <b>Central Technology Organization (CTO) R&amp;D department </b>located in <b>Bangalore</b>. It will be an on-site role.</p><p><b>
What will you do:</b></p><ul><li>
Serve as the technical bridge between users and the engineering team helping translate user requirements to system specifications and helping validate that the finished products meet intended-use.</li><li>
Plan, design and execute upstream experiments (cell culture, bioreactor operations), to test technology hypotheses.</li><li>
Undertake experimental optimization of process parameters for robustness and scalability.</li><li>
Analyze data using standard techniques; prepare clear reports to meet requirements of our quality management system</li></ul><p><b>
Who you are:</b></p><ul><li>
Master&rsquo;s degree in Biotechnology, Biochemical Engineering, or related field.</li><li>
3+ years of hands-on experience in upstream bioprocessing, preferably in a biopharmaceutical manufacturing or life sciences product development environment.</li><li>
Familiarity with cGMP guidelines and laboratory safety practices.</li><li>
Passion for hands-on lab work and upskilling to emergent technologies.</li><li>
Ability to solve straightforward problems independently.</li><li>
Good communication skills and ability to work effectively in a cross-functional team environment.</li></ul><p>
Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.</p><p></p><p>
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.</p><p></p><p>
For more information, visit www.danaher.com.</p></div>

PI Industries Ltd.

<div><div><div><div><div><h2 class="jobSectionHeader"><b>Position Description</b></h2>
</div><div><div>
<div><div><div><div><b>Business Division: CSM</b></div><br>
</div><div><div><b>Department: Technology Transfer</b></div><br>
</div><div></div><div><div><b>Location: PNL</b></div><br>
</div></div><br>
<div></div><div><div><div><b>Position Title: </b><b>Supervisor Technology Transfer</b></div><br>
</div><div></div><div><div><b>Level: A &amp; O</b></div><br>
</div><div></div><div><div><b>Reporting To</b>: <b>Head Technology Transfer</b></div><br>
</div></div><br>
</div></div></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Position Purpose</b></h2>
</div><div><div>
This role will be responsible for Identification of critical parameters &amp; its suggestions/implementation in SOP.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>
Strategic Responsibilities</b></h2>
</div><div><div>
Running &amp; monitoring the process parameters as per SOP.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>
Operational Responsibilities</b></h2>
</div><div><ul><li>Identification of critical parameters &amp; its suggestions/implementation in SOP.</li>
<li>Inputs for trouble shooting.</li>
<li>Inputs for improvement of processes during commissioning &amp; after commissioning.</li>
<li>Coordination with QC/R&amp;D for running trials.</li>
<li>Maintaining safety &amp; house keeping on the shop floor during the operation.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Financial Responsibilities</b></h2>
</div><div><ul><li>Contribute to budget proposals</li>
<li>Contribute to budgetary controls within the area of responsibility.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>People Responsibilities</b></h2>
</div><div><ul><li>Coordination with PD engineers, R&amp;D scientist &amp; analytical dept.</li>
<li>Follow the instruction of plant incharge.</li>
<li>Supervise the contract workers.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Education Qualification</b></h2>
</div><div><div>
M.Sc. / B.Sc. in Chemistry / Dip Chemical</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>
Work Experience</b></h2>
</div><div><div>
4 Yrs. to 5 Yrs.</div>
</div></div><div><div><h2 class="jobSectionHeader"><b>
Industry to be Hired from</b></h2>
</div><div><div><div><div><div><ul><li>Agro chemicals/fine chemicals/ pharma-API/ Specialty chemicals.</li>
</ul></div></div><br>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>Functional Competencies</b></h2>
</div><ul><li>Asset &amp; Circuit Planning
</li><li>Capacity and Time Calculation
</li><li>Basic Engg. package (BFD/PFD)
</li></ul></div><div><div><h2 class="jobSectionHeader"><b>Interaction Complexity and Team Work</b></h2></div></div></div></div></div><div></div>

Supervisor - Technology Transfer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!<br>
<br>
At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.<br>
<br>
Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Hyderabad office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words, Images, Subtitling etc annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.<br>
<br>
Key job responsibilities<br>
<ul><li>Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language translation-related challenges in the eCommerce space.</li><li>Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.</li><li>Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces.</li><li>Continuously explore and evaluate state-of-the-art modeling techniques and methodologies to improve the accuracy and efficiency of language translation-related systems.</li><li>Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.</li></ul><br>
About the team<br>
We are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.<br>
<br>
Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.<br>
Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><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.</div>

Applied Scientist II, Translation Services

Microsoft

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Overview
 <br/>
 <br/>
 With the rapid acceleration of AI and the need to deliver trustworthy, high-performing models, Microsoft&rsquo;s Customer Experience (CXP) Data Science team is driving innovation at scale! Our mission is to advance AI capabilities through rigorous evaluations, fine-tuning, and large-scale experimentation to create intelligent, personalized experiences for customers worldwide. The CXP Data Science team is seeking passionate AI practitioners and data scientists to join agile, cross-functional teams working on cutting-edge model evaluation frameworks, optimization pipelines, and experimentation platforms that power Microsoft&rsquo;s AI ecosystem.
 <br/>
 <br/>
 We are looking for an
 <strong>
  Applied AI Scientist II
 </strong>
 to join our team! As a member of the Customer Experience Data Science organization at Microsoft, you will help us accelerate the company&rsquo;s own AI transformation. You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsoft&rsquo;s sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges.
 <br/>
 <br/>
 <strong>
  This Role Offers The Opportunity To
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Collaborate across a diverse team of data scientists, engineers, and product managers
  </li>
  <li>
   Deepen your expertise in the evolving AI and ML landscape
  </li>
  <li>
   Drive meaningful impact for thousands of Microsoft sales, marketing and support platform users
   <br/>
   <br/>
  </li>
 </ul>
 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>
 Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
  </li>
  <li>
   Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
  </li>
  <li>
   Write robust, reusable, and extensible code to support analysis and modeling.
  </li>
  <li>
   Develop new ML and GenAI based models using advanced statistical, ML and LLM techniques.
  </li>
  <li>
   Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
  </li>
  <li>
   Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Qualifications
 <br/>
 <br/>
 <strong>
  Required/Minimum Qualifications (RQs/MQs)
  <br/>
  <br/>
 </strong>
 <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>
  <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 equivalent experience.
   </li>
  </ul>
  <li>
   Expertise in Python , PySpark, and SQL, LLMs
  </li>
  <li>
   Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
   <br/>
  </li>
 </ul>
 <strong>
  Additional Or Preferred Qualifications (PQs)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Machine Learning, Data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  </li>
  <ul>
   <li>
    OR master&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ year(s) related experience
   </li>
   <li>
    OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience
   </li>
  </ul>
  <li>
   Experience in Spark and ability to write/maintain/understand declarative Spark code and to cleanly write and maintain SQL. Knowledge of finer operational aspects of Spark such as setting optimal cluster size, executor memory, number of executors etc. and experience in Azure Synapse/Databricks (or similar).
  </li>
  <li>
   Expertise in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
  </li>
  <li>
   1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Data & Applied Scientist II

<div><b>Overview</b><p><br>
What if your job description were simply &ldquo;make tomorrow better?&rdquo; Every day at Microsoft, we bring an insatiable curiosity to the workplace, challenging ourselves to reimagine what it is and what it can be. We build on what&rsquo;s come before to create what&rsquo;s next. We help shape the future and we empower billions of people around the globe.</p><p></p><p><b><br>
We are the computational advertising team in the AI &amp; Research organization at Microsoft</b>. We are looking for candidates with research and applied experience in machine learning related areas. Search advertising is a $100 billion market worldwide. Microsoft's Bing search engine supports over 30% of desktop search in the US, with similarly significant presence in many other countries.<br>
</p><br>
<br>
<b>Responsibilities</b><p><br>
We are a team of applied scientists working on machine learning components in the whole sponsored search stack. Our team works on problems related to <b>machine learning, deep learning, natural language processing, multi-arm bandit, optimization, information retrieval, auction theory</b>, among others. Our work entails building large-scale machine learning systems for ad matching, filtration, ranking, and multi objective optimization, and several other ML-driven business problems. You will design, implement, analyze, tune complex algorithms and ML systems and the supporting infrastructure for operating on large datasets. You will collaborate with top machine learning scientists and engineers in delivering direct business impact. We're looking for sound understanding and insight into productionizing machine learning models in large-scale systems, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting algorithms in production.<br>
</p><br>
<br>
<b>Qualifications</b><div><ul><li><p><br>
MS/BS in CS/EE, mathematical or machine learning related disciplines, with 4 or more years of experience
</p></li></ul></div><div><ul><li><p>Solid understanding of probability, statistics, machine learning, data science
</p></li></ul></div><div><ul><li><p>A/B testing &amp; analysis of ML models, and optimizing models for accuracy</p></li></ul></div><div><ul><li><p>
Experience with Hadoop, Spark, or other distributed computing systems for large-scale training &amp; prediction with ML models</p></li></ul></div><div><ul><li><p>
End-to-end system design: data analysis, feature engineering, technique selection &amp; implementation, debugging, and maintenance in production</p></li></ul></div><div><ul><li><p>
Experience implementing machine learning algorithms or research papers from scratch</p></li></ul></div><div><ul><li><p>
Experience with TensorFlow/PyTorch and deep learning models is a plus</p></li></ul></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Applied Scientist II

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