technical applications scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Alexa+ is Amazon&rsquo;s next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+.<br>
<br>
As an Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies.<br>
<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities</li><li>Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning</li><li>Pioneer new methods for AI safety, alignment, and responsible AI development</li><li>Design and execute sophisticated experiments to evaluate model performance and behavior</li><li>Lead the development of production-ready AI solutions that scale efficiently</li><li>Collaborate with product teams to translate research innovations into practical applications</li><li>Guide engineering teams in implementing AI models and systems at scale</li><li>Author technical papers for top-tier conferences</li><li>File patents for novel AI technologies and applications</li></ul><br>
A day in the life<br>
You will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our trust-preserving experiences. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.<br>
<br>
About the team<br>
Who We Are:<br>
Trust CX Innovations is a strategic innovation team within Amazon Devices &amp; Services that focuses on advancing AI technology while prioritizing customer trust and experience. Our team operates at the intersection of artificial intelligence, privacy engineering and customer-centric design.<br>
<br>
Our Mission:<br>
To pioneer trustworthy AI innovations that delight customers while setting new standards for privacy and responsible technology development. We aim to transform how Amazon builds AI products by creating solutions that balance innovation with customer trust.</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></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Direct experience with leading generative AI models (e.g., GPT architectures, diffusion models)</li><li>Background in AI safety and alignment research</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, Trust CX Innovations (TCI)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability &amp; fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations.<br>
<br>
As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will help the team leverage your expertise, by coaching and mentoring. You will contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices. You will independently as well as guide team to file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree</li><li>1 year of relevant applied research experience with PhD or 3+ years of applied research experience with a Masters&rsquo; degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in Machine Learning, NLP, Computer Vision, Deep Learning, or GenAI related fields.</li><li>Should be an expert in either Computer Vision or NLP and have a good understanding of the both.</li><li>Excellent communication skills</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision.</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.</li><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity.</li><li>Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.</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, RBS Tech

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability &amp; fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations.<br>
<br>
As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results.<br>
<br>
Key job responsibilities<br>
As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will independently file for patents and/or publish research work where opportunities arise. The RBS org deals with problems that are directly related to the selling partners and end customers and the ML team drives resolution to organization level problems. Therefore, the Applied Scientist role will impact the large product strategy, identifies new business opportunities and provides strategic direction which is very exciting.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree</li><li>2+ years of relevant applied science research experience with a Masters&rsquo; degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields.</li><li>Excellent communication skills</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Have publications at top-tier peer-reviewed conferences or journals</li><li>Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams.</li><li>Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.</li><li>Solid understanding of machine learning, deep learning algorithms and computational complexity.</li><li>Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.</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, RBS Tech

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon&rsquo;s global talent is incredibly complex with unique problems to be solved for each line of business. Global Talent Management (GTM) is centrally responsible for managing and evolving Amazon&rsquo;s human capital through intelligent talent products and processes. GTM Science is a growing interdisciplinary science team within GTM that develops science products and services to facilitate Amazon&rsquo;s growth and development of talent across all of our businesses and locations around the world.
<br>
<br>
Our vision in GTM Science is to use machine learning and science to scalably solve organizational challenges focused on talent movement, talent differentiation, employee-role matching, promotion processes, organizational design and succession planning, diversity and inclusion, and new areas that address the evolving needs of our diverse employee base.
<br>
<br>
We are looking for an experienced machine learning scientist to work on talent science products that draw from a range of fields such as algorithmic fairness, natural language processing, supervised and unsupervised learning, recommendation systems, machine learning on graphs, reinforcement learning and others on rich and novel datasets. The role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate these models into production systems.
<br>
<br>
As an applied scientist in GTM Science, you will have the opportunity to work on exciting problems in one of the most innovative applications of science in the People Experience and Technology space. You will help to solve high impact business problems in an unconventional domain, and be encouraged to patent and publish your contributions. If this kind of work excites you, reach out to us to find out more!
<br>
<br>
Key Responsibilities
<br>
<ul><li>Design and implement models, science-based product ideas and features, project plans and communicate with stakeholders.
</li><li>Develop fair predictive models to understand important business and people-centered outcomes
</li><li>Productionize ML and science models at the scale of Amazon
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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 $150,400/year in our lowest geographic market up to $260,000/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>

Sr. Applied Scientist , AMX Science

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Data &amp; Applied Scientist II</b></h1><div><div><p>
Bangalore, Karnataka, India</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Oct 30, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1901944</b></div></div></div><div><div><div>
Work site</div><div><b>
2 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>
Data Science</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 is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. MCAPS is Microsoft's unified commercial organization that brings together sales, partners, industry, and customer success teams to drive business impact at scale. It is designed to accelerate customer outcomes through AI-powered solutions, strategic partnerships, and deep industry expertise. 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 <b>Data </b><b>&amp; Applied </b><b>Scientist</b> <b>II</b> 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.</div><div></div><div><br>
This role offers the opportunity to:</div><ul><li>
Collaborate across a diverse team of data scientists, engineers, and product managers</li></ul><ul><li>
Deepen your expertise in the evolving AI and ML landscape</li></ul><ul><li>
Drive meaningful impact for thousands of Microsoft sales, marketing and support platform users</li></ul><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></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required/</b><b>Minimum</b><b> Qualifications (</b><b><i>From Role Library, plus any other HM-determined qualifications)</i></b></div><ul><li>
Bachelor&rsquo;s degree in 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><ul><li>
OR master&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ year(s) related experience</li></ul><ul><li>
OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience</li></ul><ul><li>
Expertise in Python , PySpark, and SQL, LLMs</li></ul><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) is a bonus.</li></ul><ul><li>
Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI</li></ul><div></div><div><b><br>
Other Requirements</b></div><div>
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:</div><ul><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/Additional Qualifications (Optional, at HM discretion)</b></div><ul><li>
Build and deploy end-to-end ML pipelines and GenAI solutions for both batch and real-time use cases, ensuring scalability and reliability.</li></ul><ul><li> MLOps and AIOps best practices including model versioning, prompt versioning, experiment tracking, environment management, and understanding of CI/CD automation on cloud platforms (AWS, Azure, GCP).</li></ul><ul><li>
Manage environment dependencies and containerization (Docker/Kubernetes) for reproducible, scalable deployments in any of the cloud platforms (AWS, Azure, GCP etc.).</li></ul><ul><li>
Exposure to some ETL pipelining frameworks such as Azure Data factory, Apache Airflow etc.</li></ul><ul><li>
Expertise in designing and implementing Generative AI pipelines (e.g., RAG systems, domain/task-specific finetuning)</li></ul><ul><li>
Experience in managing codebases in Git, creating release pipelines on CI/CD frameworks like Azure DevOps, Jenkins etc. along with creating/managing Python deployment scripts</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><div>
Responsibilities:</div><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 or GenAI based models using advanced statistical and ML 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.</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>

Data & Applied Scientist II

Riverlane

<div>
 Boston, MA USA | Full-time | Permanent
 <br/>
 <br/>
 Salary: $135,000 - $158,000 DOE + bonus + equity
 <br/>
 <br/>
 <em>
  We also have a very similar UK-based opening for this position in our Cambridge, UK office. Please see our separate, Cambridge, UK job posting for more details.
  <br/>
  <br/>
 </em>
 <em>
  Compensation note: The salary range for this role is broad as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements.
  <br/>
  <br/>
 </em>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Riverlane's mission is to make quantum computing useful, sooner. From advances in material science to complex chemistry simulation for drug design and discovery, quantum computers will help solve some of the world's most important challenges. Riverlane is building the quantum error correction stack, Deltaflow, to make this happen. It's a complex problem that requires a range of skills, talent and passion.
 <br/>
 <br/>
 We recently raised $75M in Series C funding to accelerate our cutting-edge R&amp;D in quantum error correction (QEC), and are partnering with many of the world's leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We're making remarkable progress and growing fast.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As quantum computing enters a new phase&mdash;the &lsquo;QEC era'&mdash; marked by significant advancements in quantum error correction, Riverlane's customers are integrating Deltaflow with their existing quantum computing control systems, and demonstrating the first steps toward error-correcting capability.
 <br/>
 <br/>
 We're excited to launch this fantastic QEC Applications Scientist opportunity, which will play a critical role in the QEC journey for our customers and partners.
 <br/>
 <br/>
 Working closely with Riverlane's customers and leveraging the learnings from our work with varied quantum computing systems, you will be instrumental in supporting each customer to achieve their first QEC results.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 As QEC Applications Scientist, you will be responsible for supporting Riverlane's customers and partners on their QEC experimental journey, starting from their first QEC results. As Riverlane works with many different partners, across all qubit types, you will gain exposure to different qubit architectures, and their respective QEC considerations.
 <br/>
 <br/>
 Using these insights, along with your background in quantum computing and quantum error correction, and your proven track record of publications in quantum computing, you will accelerate the progress of Riverlane's customers and partners toward fault-tolerance.
 <br/>
 <br/>
 In this role, you will:
 <br/>
 <br/>
 <ul>
  <li>
   Enable our North America-based customers (predominantly US) with varied qubit architectures to achieve successful QEC demonstrations using Riverlane's quantum error correction system (Deltaflow)
  </li>
  <li>
   Use Deltaflow and Riverlane's software tools for rapid QEC experiment prototyping in collaboration with our customers
  </li>
  <li>
   Present QEC integration and experimentation results externally, including at conferences and through publications (and other relevant avenues)
  </li>
  <li>
   Influence Deltaflow's product development by advocating for the needs of our customers
  </li>
  <li>
   Work with stakeholders across Riverlane to influence the creation of educational content that can accelerate a new QEC customer's journey
  </li>
  <li>
   Champion a culture where Riverlane shares the QEC success stories of customers to benefit the wider QEC community
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What we need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's or PhD in Electrical Engineering, Computer Science, experimental physics (or related field)
  </li>
  <li>
   Proven experience with quantum error correction or related research and experimentation experience (in industry or academia)
  </li>
  <li>
   Proven experience with computational tools for scientific research in quantum computing (or related field)
  </li>
  <li>
   Familiarity with qubit architectures and considerations for NISQ and QEC experiments
  </li>
  <li>
   Ability and willingness to travel within North America (mainly the US) to customer and partner sites
  </li>
  <li>
   Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences, in a clear and simple way
  </li>
  <li>
   Ability to work effectively in a collaborative team environment
  </li>
  <li>
   A passion for learning and a curious, solution-oriented mindset
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Even better if you have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong track record of working collaboratively with research and product development teams to enable customers and partners
  </li>
  <li>
   Experience in stim (strongly preferred) and/or other QEC tools, especially in a quantum computing experimental setting
  </li>
  <li>
   Familiarity with quantum error correction concepts and protocols
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  What can you expect from us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A comprehensive benefits package that includes an annual bonus scheme, private health insurance, life insurance and a contributory retirement fund.
  </li>
  <li>
   Equity, so that our team can share in the long-term success of Riverlane
  </li>
  <li>
   Generous annual leave and enhanced family leave
  </li>
  <li>
   A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities
  </li>
  <li>
   A learning environment that encourages individual, team and company growth and learning, including an annual training and conference budget.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How To Apply
  <br/>
  <br/>
 </strong>
 Please upload a CV and covering letter by clicking 'Apply Now'. Your covering letter should explain why you are applying for the job and what skills and experience you can bring to the role.
 <br/>
 <br/>
 We review CVs as we receive them and interview as soon as we have applications that look like a good match (usually within one week). We do not use closing dates. So, please apply as soon as possible to avoid missing out on this role.
 <br/>
 <br/>
 <br/>
 <br/>
 If you have any queries, please contact jobs@riverlane.com.
 <br/>
 <br/>
 <br/>
 <br/>
 <em>
  Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity.
  <br/>
  <br/>
 </em>
 <em>
  Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every single qualification. We'd love to hear from you.
  <br/>
  <br/>
 </em>
 <em>
  If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help.
 </em>
</div>


QEC Applications 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>

Applied Scientist II, SPB Advertiser Guidance

Search 10000+ Technical applications scientist jobs near you this November. New roles added regularly across leading industries. Apply today.