product applications scientist

Riverlane

<div>
 Boston, MA USA | Full-time | Permanent
 
 
 Salary: $135,000 - $158,000 DOE + bonus + equity
 
 
 
 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.
 
 
 
 
 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.
 
 
 
 
 About Us
 
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 What You Will Do
 
 
 
 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.
 
 
 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.
 
 
 In this role, you will:
 
 
 <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
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we need
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Even better if you have
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What can you expect from us
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 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.
 
 
 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.
 
 
 
 
 If you have any queries, please contact jobs@riverlane.com.
 
 
 
 
 
 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.
 
 
 
 
 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.
 
 
 
 
 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.
 
</div>

QEC Applications Scientist

Amazon

Job ID: Amazon Development Center U.S., Inc. Amazon Web Services (AWS) is looking for a Principal Applied Scientist to join the Amazon Q team. Q is AWS's enterprise generative AI assistant that helps users answer questions, summarize documents, generate content, take actions, and automate workflows using information across enterprise systems. As a key member of this team, you will lead research and development efforts in generative AI and Agentic AI to enable intelligent agents that perform complex reasoning, automate multi step workflows, and make enterprise users significantly more productive. You'll work on building and optimizing multi modal foundation models, training and fine tuning state of the art LLMs, and architecting systems that scale efficiently across domains. This role blends science leadership, hands on innovation, and deep collaboration with engineering teams to bring research into production. Key Job Responsibilities <ul> <li>Lead the design and development of foundational models and intelligent agent architectures tailored to enterprise use cases.</li> <li>Partner with engineering, product, and UX teams to integrate generative AI into the Amazon Q assistant.</li> <li>Drive experimentation to improve model accuracy, safety, latency, and cost efficiency.</li> <li>Mentor other scientists and engineers, helping raise the technical bar across the team.</li> <li>Contribute to and publish in top tier conferences or file patents based on novel research contributions.</li> </ul> About the Team Amazon Q is a generative AI powered assistant that helps employees become more productive by answering questions, generating content, summarizing data, and automating workflows using enterprise information. Our team builds the intelligence behind Q, leveraging large language models, retrieval augmented generation, and agentic architectures to orchestrate complex workflows securely and at scale. We're focused on building systems that reason, plan, and act across multiple modalities and business tools. As part of AWS's broader Agentic AI initiative, we're shaping the future of enterprise AI-empowering organizations to solve problems faster, reduce operational overhead, and unlock new levels of efficiency and decision making. Basic Qualifications <ul> <li>PhD in Machine Learning, Computer Science, Electrical Engineering, or a related technical field OR a Master's degree with 5+ years of relevant industry or research experience.</li> <li>Industry experience developing machine learning models for real world applications.</li> <li>Experience with generative AI, including model training or building systems with pre trained foundation models.</li> <li>Proven record of peer reviewed publications or granted patents in AI/ML.</li> <li>Proficiency in Python or similar programming languages.</li> <li>Experience in at least one of the following areas: natural language processing (NLP), large language models (LLMs), computer vision, or Agentic AI.</li> </ul> Preferred Qualifications <ul> <li>Experience applying generative AI to enterprise or multi modal tasks (e.g., code generation, document understanding, or task planning).</li> <li>Strong understanding of agentic architectures, autonomous systems, or task orchestration.</li> <li>Hands on experience with scalable ML infrastructure, distributed training, or optimization of large models.</li> <li>Deep knowledge of AI safety, hallucination mitigation, or retrieval augmented generation (RAG).</li> <li>Experience mentoring junior scientists and influencing cross functional stakeholders.</li> <li>Ability to think strategically and communicate complex technical topics to non experts, including senior leadership.</li> <li>Track record of shipping scientific innovations into customer facing products at scale.</li> </ul> Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Your compensation will include a base salary ranging from $179,000 to $309,400 per year depending on geographic market, plus potential equity, sign on payments, and other benefits. For more information, visit the Amazon employee benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Principal Applied Scientist, Amazon Q

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</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.
 
 
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. 
 
Key job responsibilities 
<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> 
About the team 
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. 
 
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. 
 
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. 
 
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">
BASIC QUALIFICATIONS</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">
PREFERRED QUALIFICATIONS</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> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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. 
 
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

Inception

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 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.
 
 
 <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 Core42. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Core42for 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.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 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.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <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 10 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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <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
 
 
 </li>
 </ul>
 What we look for
 
 
 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.
</div>

Principal Applied Scientist

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
About Sponsored Products and Brands:
 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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. 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.
 
 
About Our Team:
 
The Sponsored Brands Impressions-based Offerings team is responsible for evolving the value proposition of Sponsored Brands to drive brand advertising in retail media at scale, helping brands get discovered, acquire new customers and sustainably grow customer lifetime value. We build end-to-end solutions that enable brands to drive discovery, visibility and share of voice. This includes building advertiser controls, shopper experiences, monetization strategies and optimization features. We succeed when (1) shoppers discover, engage and build affinity with brands and (2) brands can grow their business at scale with our advertising products.
 
 
About This Role:
 
As an Applied Scientist on our team, you will:
 
 
<ul><li>Develop AI solutions for Sponsored Brands advertiser and shopper experiences. Build monetization and optimization systems that leverage generative models to value and improve campaign performance.</li><li>Define a long-term science vision and roadmap for our Sponsored Brands advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists and engineering teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
</li><li>Design and conduct A/B experiments to evaluate proposed solutions based on in-depth data analyses.
</li><li>Effectively communicate technical and non-technical ideas with teammates and stakeholders;
</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field.</li><li>Think big about the arc of development of Gen AI over a multi-year horizon and identify new opportunities to apply these technologies to solve real-world problems.</li></ul> 
#GenAI</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</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><li>3+ years in digital advertising technology.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Demonstrated track record of innovative AI solution development.</li><li>Experience with generative model architectures.</li><li>Research publications or patents in generative AI technologies.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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, Sponsored Products and Brands

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art 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. 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. 
 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
 
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, Sponsored Product Off-Search

Joulé

<div>
 
 
 Job Title:
 
 Associate Scientist &ndash; Product Formulation
 
 
 Location:&nbsp;&nbsp;
 
 Trumbull, CT&nbsp;(100% Onsite)
 
 
 Hours/Schedule:
 
 Monday&ndash;Friday, 8:30 am to 5 pm&nbsp;
 
 
 Type:
 
 Contract
 
 
 Overview
 
 
 The Associate Scientist will support product formulation development through hands-on laboratory experimentation, data analysis, and collaboration with cross-functional teams. This role involves creating and evaluating prototype products, conducting performance and stability testing, and contributing to the commercialization of new consumer product innovations.
 
 
 Responsibilities
 
 <ul>
 <li>
 
 Plan and perform laboratory experiments related to product formulation, validation, and performance testing
 
 </li>
 <li>
 
 Develop experimental designs and work plans to create prototype products that meet performance requirements
 
 </li>
 <li>
 
 Analyze experimental data, draw conclusions, and propose next steps in development plans
 
 </li>
 <li>
 
 Collaborate with packaging, process development, and manufacturing teams during development and commercialization phases
 
 </li>
 <li>
 
 Record and maintain detailed, accurate laboratory notes and experimental documentation
 
 </li>
 <li>
 
 Plan and schedule project tasks, including laboratory testing, third-party evaluations, and consumer trials
 
 </li>
 <li>
 
 Present data, progress, and results to project teams and management
 
 </li>
 <li>
 
 Develop or modify test methods to solve technical problems and evaluate competitive products
 
 </li>
 <li>
 
 Support lab demonstrations, training activities, and customer visits as needed
 
 </li>
 <li>
 
 Maintain laboratory supplies, raw material inventories, and clean, safe work environments
 
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 Follow all applicable safety, environmental, and regulatory standards and policies
 
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 </ul>
 
 Qualifications
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Chemistry required, or Associate&rsquo;s degree with relevant industrial experience
 
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 Relevant formulation experience in consumer packaged goods considered a strong advantage
 
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 Advanced understanding of detergent chemistry and related testing methods preferred
 
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 Experience performing a variety of research experiments and operating laboratory equipment
 
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 Proficiency in Microsoft Word, Excel, and database applications
 
 </li>
 <li>
 
 Strong communication skills and ability to collaborate effectively within cross-functional teams
 
 </li>
 <li>
 
 Commitment to safe work practices and adherence to health, safety, and environmental regulations
 
 </li>
 </ul>
 
 Benefits
 
 
 
 System One offers eligible employees health and welfare benefits coverage options, including medical, dental, vision, spending accounts, life insurance, voluntary plans, and participation in a 401(k) plan.
 
 
 
 
 
 Ref: #558-Scientific
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Associate Scientist

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