engineering scientist

Microsoft

<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></div><div><br>
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><h2 class="jobSectionHeader"><b><br>
Responsibilities</b></h2><div></div><ul><li><b><br>
Drive strategic impact</b> by identifying and leading high-leverage data science and analytics initiatives across multiple product domains.</li><li><b>
Lead the development and deployment of advanced model fine-tuning pipelines</b>, leveraging Reinforcement Learning from Human Feedback (RLHF) to align AI system behavior with human intent and improve performance in complex, real-world enterprise scenarios.</li><li><b>
Steer strategic direction and investment decisions</b> by owning complex, end-to-end projects that blend technical depth with organizational influence.</li><li><b>
Build alignment and trust across leadership and cross-functional teams</b> through clear, persuasive communication and collaborative engagement.</li><li><b>
Design and implement robust measurement systems</b>, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments.</li><li><b>
Mentor and elevate the data science community</b> by championing best practices, nurturing talent, and cultivating a collaborative, high-performance culture.</li><li><b>
Harness AI to accelerate workflows</b> and amplify team productivity through intelligent automation and innovation.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><ul><li>
Bachelor's degree in Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
Or, Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)<b> (</b><b>OR)</b></li><li>
 Doctorate in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)</li></ul><ul><li>
5+ years experience developing and deploying AI/ML products or systems at multiple points in the product cycle from ideation to shipping.</li></ul><div><b><br>
Preferred Qualifications:</b></div><ul><li>
Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)<b> (</b><b>OR)</b></li><li>
 Doctorate in Statistics, Mathematics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
5+ years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping.</li><li>
Experience with modern NLP techniques and language model architectures (e.g. Transformer, etc).</li><li>
Deep understanding of statistics and statistical theory</li><li>
Experience working with real-world noisy data</li><li>
Demonstratable experience with software engineering principles, parallel and distributed computing, statistics, machine learning, cloud technologies like Azure, AWS, Google Cloud, IaaS, PaaS and SaaS</li></ul><div></div><div><b><br>
Other Requirements</b></div><div></div><div><br>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</div><div><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</div><div></div><p><br>
#BICJobs</p><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>

Principal Applied Science Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist, to support the development and implementation of state-of-the-art algorithms and models for supervised fine-tuning and reinforcement learning through human feedback and and complex reasoning; with a focus across text, image, and video modalities.<br>
<br>
As an Applied Scientist, you will play a critical role in supporting the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
Key job responsibilities<br>
Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI<br>
<br>
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results<br>
<br>
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<br>
<br>
Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports<br>
<br>
About the team<br>
We are passionate scientists dedicated to pushing the boundaries of innovation in Gen AI with focus on Software Development use cases for LLMs.
</p><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 2+ years of CS, CE, ML or related field experience</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 in professional software development</li><li>Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members</li><li>Experience building state of the art reinforcement learning pipelines for LLMs</li><li>Knowledge about latest important benchmarks and LLM-based algorithms applied to software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, AGI Foundations

TALENTMATE

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Job Description
 <br/>
 <br/>
 Inception is seeking a highly proficient and accomplished 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
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 <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 Microsofts 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 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.
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 <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 AIs 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
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 <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 6 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
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 <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
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 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
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 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
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 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
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 <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.
 <br/>
 <br/>
 Job Details
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 <br/>
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Abu Dhabi Company Website: https://inceptionai.ai/ Job Function: Information Technology (IT) Company Industry/
 <br/>
 <br/>
 Sector: Technology Information and Internet
 <br/>
 <br/>
 What We Offer
 <br/>
 <br/>
 <strong>
  About The Company
  <br/>
  <br/>
 </strong>
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 <br/>
 <br/>
 Report
 <br/>
 <br/>
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>


Applied Scientist

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

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><p><b>Inviting Applications for </b><b>Data Scientist (Azure)</b></p>
</div>
<div><p><b>Experience Required: </b><b>6</b><b> to 10 Years</b></p>
</div>
<div><p><b>Location: Hyderabad</b></p>
</div>
<div><p><b>Job Description:</b></p>
</div>
<div><ul><li><div>8+ years of hands-on experience as Data scientist</div></li>
</ul>
</div></div></div></div><div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Analyst</div>
</div><div><div><b>Job Id</b></div>
<div>378322</div>
</div><div><div><b>Desired Skills</b></div>
<div>AI &amp; Gen AI - Products &amp; Tools | Azure | Data Science</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Data Scientist (Azure)

<div></div><div><div><div><div><div><b>Greetings from TCS!!!</b></div><div></div><div><br>
TCS presents an excellent opportunity for Data scientist Role</div>
<div><b>
Role: </b><b>Datascientist - Python, Machine Learning</b></div>
<div><b>
Desired Experience Range: 4-10 years</b></div>
<div><b>
Location: Mumbai, Kolkata</b></div><div></div><div><br>
Desired Competencies (Technical/Behavioral Competency)</div><div></div><div><b><br>
Must Have-</b></div>
</div></div></div><div><div><div><b>Location</b></div>
<div>Kolkata</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>368357</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Data scientist</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Datascientist - Python, Machine Learning

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale.<br>
<br>
We're seeking an exceptional Applied Scientist to push the boundaries of large-scale ML systems in a business-critical domain. This role presents unique opportunities to<br>
&bull; Architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds of millions of products &bull; Pioneer novel applications of multimodal LLMs to analyze product attributes, images, and seller metadata for intelligent fee determination &bull; Build production-scale generative AI systems for fee integrity and seller communications &bull; Advance the field of ML through novel research in high-stakes, large-scale transaction processing &bull; Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes &bull; Collaborate with world-class scientists and engineers to solve complex problems at the intersection of deep learning, economics, and large business systems.<br>
<br>
If you're passionate about advancing the state-of-the-art in applied ML/AI while tackling challenging problems at global scale, we want you on our team!<br>
<br>
Key job responsibilities<br>
Responsibilities:<br>
. Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages, policy and requirements.<br>
<ul><li>Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers.</li><li>Develop large scale classification and prediction models using the rich features of text, image and customer interactions and state-of-the-art techniques.</li><li>Research and implement novel machine learning, statistical and econometrics approaches.</li><li>Write high quality code and implement scalable models within the production systems.</li><li>Stay up to date with relevant scientific publications.</li><li>Collaborate with business and software teams both within and outside of the fees organization.</li></ul><br>
About the team<br>
The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</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 $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, Seller Fees Science

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