technical applications scientist

Microsoft

<div><b>Overview</b><div><p><br>
Are you looking to work on cutting-edge large-scale AI services that can power the next-gen AI search? Are you passionate about Deep Learning and latest AI technologies light up those scenarios?</p><p>
Our team uses latest NLP deep learnt models to prepare Grounding data for AI search efforts. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team.</p><p>
We are looking for a <b>Applied Scientist II </b>who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works.</p><p>
As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find technological breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office.</p><p>
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.</p><p>
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p></div><b><br>
Responsibilities</b><div><p><br>
We are looking for a motivated, self-driven <b>Applied Scientist II </b>to join our mission. Essential attributes and competencies include excellence in scientific thinking and execution, ability to drive efficient experiment definition and investigations, solid skill in developing state-of-the-art machine learning algorithms and broad scope in solving NLP related engineering problems.</p><p>
Your responsibilities include:</p><ul><li>
Developing novel machine learning and data mining algorithms.</li><li>
Designing and developing solutions that respond in real time.</li><li>
Build data quality checks and re-usable modules for the training.</li><li>
Host ML models with production-ready code.</li><li>
Designing and executing offline/online experiments.</li><li>
Advancing the state of the art of NLP technologies for real world scenarios.</li><li>
Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.</li></ul></div><br>
<b>
Qualifications</b><ul><li><p><b><br>
Required Qualifications:
</b></p><ul><li>Master&rsquo;s/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining.</li><li>
3-6 years of professional experience applying Deep learning, Machine Learning concepts in real world applications.</li><li>
Excited to work as part of diverse team and collaborate across geographies.</li><li>
Outstanding communication and collaboration skills.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Strong research and/or development experience with machine learning, NLP and data mining.</li><li>
Experience in architecting, developing, and delivering advanced NLP projects is a strong plus.</li><li>
Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.</li><li>
Fantastic problem solver: ability to solve problems that the world has not solved before.</li><li>
Proven track record on shipping products/services with high quality.</li></ul></li></ul><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

Amazon.com

<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>
As part of the AWS Applied AI Solutions organization, we have a mission to build delightful AI solutions that improve human capabilities and business outcomes. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated AI solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
<br>
The Applied Scientist will contribute to the development of Agentic AI solutions leveraging Gen AI. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and implement solutions that extend or adapt scientific approaches for customer needs</li><li>Deliver components into production that meet high quality standards (efficient, reproducible, testable code)</li><li>Produce science outputs demonstrating correctness, scholarship, and scientific rigor</li><li>Work with product, engineering, and science teams to deliver impactful AI features</li><li>Contribute to operational excellence in the team's deliverables</li></ul><br>
About the team<br>
AWS Solutions<br>
<br>
As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.</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 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 building machine learning models or developing algorithms for business application</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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 172,400.00 - 223,400.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, AWS Applied AI Solutions

<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

Lupin Limited

<div>Overview:
<div>
Lupin is comprised of a fast growing, innovative and robust team of manufacturing, Research and Development and commercial divisions. Together these entities make up the generic and branded U.S. business. Lupin has a significant generic pipeline, and a branded focus on women&rsquo;s health. Our first Research and Development facility in the US is located in Coral Springs, Florida which focuses on generic and branded orally inhaled and nasal drug products. Somerset, New Jersey is home to one of Fifteen commercial manufacturing sites globally and the only commercial manufacturing facility in the United States for Lupin, as well as additional Research and Development teams. Lupin is prided on being people-focused and centered around how impactful we are with our customers. Dollars are not a measure of success but rather the people we help along the way.</div>
Responsibilities:
<div>
The Technical Operations Scientist reports directly to the Head, of Manufacturing Science and Technology and will support the Manufacturing Science and Technology ( MSAT ) team in authoring technical documents required for cGMP operations at the Somerset facility. The Technical Operations Scientist works with cross-functional teams to prepare scientifically sound documents, and compliance with current regulatory and GMP standards. This role is pivotal in facilitating excellence in Good Documentation practices ( GDP&rsquo;s ). The Somerset facility manufactures and packages solid, powder, and liquid dosage form pharmaceuticals.</div><br>
<div></div><ul><li>
Prepare and maintain detailed Manufacturing Batch Records (MBRs), Packaging Batch Records (PBRs).</li><li>
 Prepare Standard Operating Procedures (SOPs) of MSAT operations</li><li>
 Author protocols, and reports for scientific experiments, engineering studies and process validations. Run trial batches for new as well as commercial inline launches.
 </li><li>Author Standard Operating Procedures (SOP&rsquo;s) for MSAT operations</li><li>
 Collect and analyze data of scientific experiments, and commercial batches using statistical tools and methods</li><li>
 Support root cause analysis (problem-solving) using lean principles.</li><li>
 Create and manage master recipes in SAP for manufacturing and packaging of the products manufactured in the Somerset facility Systematically Organize and manage documents of MSAT in a shared drive</li><li>
Train the staff on master batch records, protocols and SOPs as needed</li><li>
Initiate QMS records such as Change Controls, CAPA&rsquo;s, deviations pertaining to MSAT operations Coordinate with cross-functional departments on timely approval, closure of QMS records</li>
 Other duties as assigned<br>
<li>
</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or master&rsquo;s Degree in a scientific discipline.</li><li>
3+ years' experience in benchwork or technical writing for a life science or pharmaceutical organization</li><li>
Must have excellent grammatical skills and effective oral and written communication skills.</li><li>
Adaptable to changes in work duties, responsibilities, and requirements and can manage the workload.
</li><li>Strong interpersonal skills; capability to work as part of a team with formulation scientists and other departments.</li><li>
Working knowledge of SAP, Microsoft Office Suite, Electronic QMS Systems like :- TrackWise, Veeva, etc.</li><li>
Detail-oriented, thorough, and methodical, and excellent organizational and planning skills with the ability to manage and prioritize multiple tasks while still meeting deadlines. Possesses good editorial/proofreading skills and understands and performs well in the process of writing (outlining, drafting, revising, and reviewing).</li><li>
Excellent organizational skills.</li><li>
Able to perform numerous simple and complex tasks without losing sight of overall objectives.</li><li>
Highly Proficient in Word, PowerPoint, and Excel.</li><li>
The position requires proficient personal computer skills including electronic mail; record keeping, routine database activity, word processing, spreadsheet, and graphics.</li></ul><div></div><p><b><br>
Lupin </b>is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, gender, religion, age, disability, veteran&rsquo;s status, or any other classification as required by applicable law.</p><p></p><div><br>
The anticipated annual base salary range for this position in<b> </b>New Jersey is $70,000 to $95,000, plus a discretionary performance bonus (based upon eligibility). The final salary offered to a successful candidate may vary and will be dependent on several factors that may include but are not limited to: the type and length of experience within the job, the type and length of experience within the industry, skillset, education, business needs, etc. Lupin is a multi-state employer, and this salary range may not reflect positions that work in other states</div><p></p><div><b><br>
Physical Requirements</b></div><div>
The physical requirements of the position generally include: standing, walking, sitting, using hands and fingers, reaching with hands and arms, talking and hearing. In some circumstances, bending, kneeling, crouching, stooping, and crawling may apply. This position may require lifting up to 15 pounds occasionally. Generally work is performed in a maniufacturing environment.</div><div></div><div><b><br>
Search Firm Representatives Please Read Carefully</b></div><div>
Lupin USA, and its Affiliates does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms for any current openings at our company without a valid written search agreement in place will be deemed the sole property of Lupin. No fee will be paid in the event a candidate is hired by Lupin as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. <b>Please, No phone calls or emails</b></div></div><div></div>

Technical Operations Scientist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering AI-powered solutions that transform how advertisers make strategic decisions. We deliver billions of ad impressions and process massive volumes of advertiser data every single day. You'll work with us to pioneer breakthrough approaches in how AI agents access and reason over real-time advertiser data at scale.<br>
<br>
We are using generative AI and agentic systems to help advertising agents provide instant, strategic advice to millions of advertisers. You will need to invent new techniques for agent orchestration, context optimization, and code generation to ensure we're delivering accurate, trustworthy insights with minimal latency and token consumption. You'll create feedback loops to ensure our solutions are constantly evaluating themselves and improving.<br>
<br>
The Ads Real-Time Data Service team is seeking an exceptional Applied Scientist to research and develop novel approaches for agent-data interaction. The Ads Real-Time Data Service team is solving one of the most critical challenges in advertising AI: instant access to advertiser context. We're building the infrastructure that provides immediate, pre-computed access to advertiser data via Model Context Protocol (MCP) servers&mdash;an emerging standard for AI agent-data interaction. We're building summarized data for context using a mix of state of the art techniques like CodeAct and RAG-based embeddings, achieving a fundamental transformation in how AI agents interact with data.<br>
<br>
This role balances applied research (60%) with productionization (40%), giving you the opportunity to both advance the state of the art and see your innovations deployed at Amazon scale.<br>
<br>
Key job responsibilities<br>
Agent Orchestration &amp; Optimization Research<br>
<ul><li>Research and develop novel algorithms for agent-data interaction patterns that minimize latency, token consumption, and error rates</li><li>Design and implement CodeAct pattern variations enabling agents to write and execute analytical code in isolated sandboxes</li><li>Investigate multi-agent orchestration strategies for complex advertiser queries requiring data from multiple sources</li><li>Develop techniques for automatic query optimization and caching strategies based on agent behavior patterns</li></ul><br>
Large Language Model Context &amp; Token Optimization<br>
<ul><li>Invent new methods for compressing advertiser context representations while preserving semantic meaning and analytical utility</li><li>Research optimal metadata generation techniques that help large language models understand and reason over structured advertiser data</li><li>Design experiments to measure the impact of different data representations on agent response quality and token efficiency</li><li>Develop adaptive context selection algorithms that dynamically choose relevant data based on query intent</li></ul><br>
RAG-Based Embeddings &amp; Semantic Search<br>
<ul><li>Pioneer new RAG-based embedding approaches optimized for real-time advertiser data delivery with sub-second latency</li><li>Research and implement semantic search and retrieval techniques for advertiser datasets using vector embeddings</li><li>Design advertiser context frameworks that enable automatic schema mapping from advertiser concepts to data representations</li><li>Develop evaluation frameworks to measure performance across dimensions of latency, accuracy, and developer experience</li></ul><br>
Experimentation &amp; Productionization<br>
<ul><li>Design and execute rigorous experiments comparing traditional API orchestration versus CodeAct patterns and RAG-based approaches across metrics like success rate, latency, token consumption, and response quality</li><li>Analyze large-scale advertiser interaction data to identify patterns, bottlenecks, and optimization opportunities</li><li>Collaborate with engineering teams to productionize research innovations and deploy them to advertising agents and skills</li><li>Establish evaluation metrics and benchmarks for agent-data interaction performance</li></ul><br>
A day in the life<br>
You start your morning analyzing experiment results from overnight runs comparing three evaluations for different RAG-based embedding approaches. The data shows that one of the embedding pattern is returning a significant improvement in accuracy. You create a spec file with the findings and start drafting a technical paper to be shared with Amazon AI forume.<br>
<br>
Mid-morning, you're in a design session with the engineering team discussing how to optimize RAG-based embeddings for semantic search over advertiser data. You propose using a hybrid approach combining dense and sparse embeddings to represent campaign metadata, enabling agents to find relevant campaigns through natural language queries while maintaining sub-second latency. You sketch out the architecture and discuss trade-offs between embedding model size, search latency, and accuracy.<br>
<br>
After lunch, you dive into advertiser interaction logs from advertising agents and skills. You're looking for patterns in how advertisers ask questions about their campaigns. You discover that 60% of queries follow a similar structure: filter campaigns by criteria, aggregate metrics, and compare to benchmarks. This insight leads you to design a new pre-computation strategy using RAG-based embeddings that could reduce query latency by 40%.<br>
<br>
In the afternoon, you collaborate with an Applied Scientist from an advertising agent team. They're seeing inconsistent results when agents try to calculate complex metrics across multiple campaigns. You investigate and discover the issue is related to how the agent interprets the advertiser context. You propose enriching the RAG-based embeddings with richer metadata descriptions and run experiments showing this improves calculation accuracy from 85% to 98%.<br>
<br>
Late afternoon, you're prototyping a new approach for adaptive context selection using RAG-based embeddings with the spec file you generated earlier. Instead of providing agents with all available advertiser data, you want to dynamically select the most relevant datasets based on query intent using semantic similarity. You build a quick proof-of-concept and test it on historical queries. The results are promising: 30% reduction in tokens with no loss in response quality.<br>
<br>
About the team<br>
The Ads Real-Time Data Service team is a highly motivated, collaborative and fun-loving group of engineers building the foundational platform for Amazon's advertising AI future. We are entrepreneurial and have a bias for action with a broad mandate to experiment and innovate. Our team operates at the intersection of real-time data engineering, AI agent infrastructure, and distributed systems engineering&mdash;solving problems that directly impact how millions of advertisers interact with Amazon's advertising products.<br>
<br>
We value technical excellence, customer obsession, and sustainable engineering practices. Our team includes engineers with diverse backgrounds in distributed systems, real-time data processing, AI/ML infrastructure, and platform engineering. We celebrate innovation (patent submissions encouraged), knowledge sharing (weekly tech talks), and continuous learning. We maintain a sustainable pace with minimal on-call burden, flexible work arrangements, and a strong focus on work-life balance. We're at the forefront of AI-assisted development, using tools like Kiro to accelerate our development cycles from weeks to days.</div><h2 class="jobSectionHeader"><b><br>
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, Ads AI Core Infrastructure

Mane USA

<div><div><b>MANE</b> is a 5th generation French family-owned business known for innovation and progress in the world of Flavor and Fragrance. As sensation enthusiasts, we strive to provide exceptional moments in people&rsquo;s daily lives through the timeless flavors and fragrances we create. With our passion, creativity, and innovation, &ldquo;<i>We capture what moves</i>&rdquo;.</div><div></div><div><br>
We are looking to add a <b>Portfolio Applications Technician </b>to our dynamic team at our Development Center in Lebanon, OH! The Portfolio Applications Technician supports the Portfolio team&rsquo;s day-to-day R&amp;D activities, including assisting with flavor validation by applying flavors across multiple product categories. Working under general supervision, this role helps ensure that flavor solutions align with target applications and meet customer expectations. The Portfolio Applications Technician plays a critical role in driving portfolio strategic alignment and enhancing customer-centric practices.</div><div></div><div><b><br>
DUTIES AND RESPONSIBILITIES:</b></div><div><ul><li>
Apply flavors across diverse product applications for portfolio development and R&amp;D team evaluation.</li><li>
Monitor and maintain adequate levels of raw materials and lab supplies to support ongoing project work and minimize delays</li><li>
Ensure the cleanliness, organization, and operational readiness of the lab workspace</li><li>
Monitor and maintain flavor library in partnership with sample services team</li><li>
Capture flavor portfolio taste data accurately adhering to Mane sensory language and best practices</li><li>
Maintain accurate records of portfolio base recipes and assist in managing application data files.</li><li>
Participates in taste panels and project evaluations.</li><li>
Handle special tasks and projects as requested in order to meet company objectives.</li><li>
Build a working knowledge of internal project processes and timelines to effectively support the successful execution of portfolio customer and strategic initiatives.</li><li>
Building technical skills i.e. application, computer skills, sensory descriptive analysis</li><li>
Other duties in support of company objectives</li><li>
Consistent with <b>MANE&rsquo;s</b> environmental commitments, every employee shall actively participate in relevant education/training based upon corporate and local environmental objectives. Where these objectives are relevant to job-related and job-specific roles and responsibilities, each employee shall adhere to applicable environmental policies and procedures, as well as act on best practices.</li></ul></div><div></div><div><b><br>
COMPETENCIES:</b></div><div><ul><li>
Ability to follow recipe and/or formula sheet</li><li>
Excellent Math Skills and Understanding of basic Laboratory Math Practices</li><li>
Collaborative &ndash; Willingness to share and learn from experiences</li><li>
Strong verbal and written communication skills</li><li>
Excellent interpersonal skills</li><li>
Must be detail-oriented, organized, and maintain a high level of confidentiality</li><li>
Self-motivated, forward thinking problem solver</li><li>
Excellent Time Management Skills</li><li>
Computer experience, with emphasis on Microsoft Office and formulation software. SAP experience a plus.</li><li>
Understanding of safe laboratory practices &amp; follow protocol independently</li></ul></div><div></div><div><b><br>
EDUCATION AND EXPERIENCE:</b></div><div><ul><li>
High School Diploma or equivalent required with associate&rsquo;s degree preferred.</li><li>
Minimum of one year in a flavor/food industry preferred with experience in food preparation and/or flavor research and development</li></ul></div><div></div><div><b><br>
MANE</b> offers industry leading benefits including a generous PTO plan. Additional benefits include paid holidays, annual year-end shutdown, annual and bi-weekly 401(k) contributions, tuition reimbursement, paid parental leave, employee assistance programs and many more. <b>MANE</b> is known for having a culture that focuses on our employees and their well-being. See for yourself why our employees love working at <b>MANE!</b></div><div></div><div><b><br>
MANE </b>is an equal opportunity employer.</div></div><div></div>

Portfolio Applications Technician

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