account executive Jobs in New York United States

account executive

account executive (smb) Jobs in New York United States

account executive (smb)

applied scientist ii, spb advertiser guidance Jobs in New York United States

applied scientist ii, spb advertiser guidance

applied scientist, agi foundations Jobs in New York United States

applied scientist, agi foundations

applied scientist, sponsored products and brands Jobs in New York United States

applied scientist, sponsored products and brands

applied scientist ii spb advertiser guidance

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale.
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You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production.<br>
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Key job responsibilities<br>
<ul><li>Design and build agents to guide advertisers in conversational and non-conversational experience.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).</li><li>Curate datasets and tools for MCP.
</li><li>Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.<br>
<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
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The Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
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Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in designing experiments and statistical analysis of results</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in professional software development</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist II, SPB Advertiser Guidance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands<br>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-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.
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Key job responsibilities<br>
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:<br>
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<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><br>
A day in the life<br>
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.<br>
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About the team<br>
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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands:
<br>
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.
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<br>
About Our Team:
<br>
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.
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<br>
About This Role:
<br>
As an Applied Scientist on our team, you will:
<br>
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<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><br>
#GenAI</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><li>3+ years in digital advertising technology.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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><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, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are seeking an experienced Senior Product Manager-Technical who will drive the future of AI-powered creative generation that enables advertisers to produce professional-quality image, video and audio at speeds never before thought possible. You'll be responsible for leading product strategy and execution for breakthrough generative AI solutions that transform how advertisers create their creative assets.
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The right candidate will have a strong track record of working with both user experience and science teams, and a deep curiosity about the rapidly evolving generative AI landscape. You'll collaborate closely with machine learning engineers, applied scientists, software engineers, and UX designers to build products that fundamentally change the creative development process for advertisers of all sizes.<br>
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Key job responsibilities<br>
You will:<br>
<ul><li>Think big to define and drive end-to-end product strategy from conception through launch, working backwards from advertiser needs to build roadmaps and user experiences for image, video, and audio creation capabilities for TV, podcasts, Amazon.com and publisher sites.
</li><li>Dive Deep with applied scientists, ML engineers, and software engineers to translate the latest generative AI research into evidence-based, practical advertiser solutions.</li><li>Collect or create content benchmarks, define success criteria, and execute scientific evaluations in partnership with the organization.</li><li>Learn and be Curious to stay current on generative AI trends, research developments, and industry innovations to identify new opportunities and maintain a competitive advantage.</li><li>Write strategic documents including PRFAQs, vision documents, and technical requirements that align leadership and engineering teams on ambitious product goals</li><li>Collaborate cross-functionally with engineering, design, science, creatives, production teams, go-to-market specialists, and external partners to influence priorities and ensure seamless product execution and adoption.</li><li>Monitor and optimize product performance through data analysis, user feedback, and competitive intelligence to continuously improve AI model outputs and user experience</li></ul><br>
About the team<br>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Creative Experience team within Ads is leveraging AI to incubate a creative future where any advertiser&mdash;from emerging brands to global enterprises&mdash;can produce agency-quality video, image, and audio ad content in minutes instead of months. We are first-movers in the industry, democratizing creative access by launching generative AI solutions that act as a full-service creative agency in your pocket. We're investing heavily in the most advanced AI technologies, including latent-diffusion models for stunning visual generation, large language models for creative strategy and copywriting, agentic systems that orchestrate complex tasks, computer vision for product understanding, and multimodal synthesis for seamless audio-visual experiences. Every solution we build moves us closer to a state where creative quality is limited only by imagination, not budget or resources.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>3+ years of end to end product delivery experience</li><li>Experience integrating UX research into customer experience, team culture, development process, and design principles</li><li>Experience managing and deploying ML products</li><li>Experience leading engineering discussions around technology decisions and strategy related to a product</li><li>Experience working with data and leveraging analytics to make decisions</li><li>Demonstrated high curiosity for and awareness of the latest generative AI tools and industry trends</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in building and driving adoption of new tools</li><li>Experience in advertising, marketing technologies, or working with creative teams</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 $136,100/year in our lowest geographic market up to $235,200/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>

Senior Product Manager-Technical - AI Creative Generation, Ads CreativeX

<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>
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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>
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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

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Sr. 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 Sr. 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.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience 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 patents or publications at top-tier peer-reviewed conferences or journals</li><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, AGI Foundations

gstv

<div><div><b>GSTV is dedicated to building an inclusive team and culture that reflects the communities we serve every day. Being part of the GSTV team means that we are always encouraged and challenged to grow personally and professionally. More importantly, we are accountable for our actions towards one another as the foundation for a strong and accepting workplace.</b></div>
<div></div><div><b>GSTV Values:</b></div>
<ul><li>Growth Focused</li></ul>
<ul><li>Social Accountability</li></ul>
<ul><li>Tenacious Behavior</li></ul>
<ul><li>Valued Actions</li></ul>
<div></div><div><b>Benefits Day One! Medical, Dental, Vision, Paternal Leave, Life Insurance, Accident, Critical Illness, Hospital Indemnity, STD/LTD + Vol Plans., Paid Holidays, 20 PTO days + Sick time, Perks, HSA and FSA and Lifestyle Spending Account (1</b><b>st</b><b> of mo after 30 days), 401K Match (90 days).</b></div>
<div></div><div><i>GSTV offers both hybrid and remote work situations. Candidates located within commutable distance to our New York Office will be tagged to that office and are not currently considered 100% remote.</i></div>
<div></div><div>VP, AD OPERATIONS</div>
<div></div><div><b>Summary:</b></div>
<div>As the VP of Ad Operations, you will be responsible for leading the Ad Operations team and be tasked with evolving and scaling operations to support our rapidly growing business. The team will be responsible for creating frictionless experiences for our advertiser-driven campaigns (direct and programmatic), content partners, viewers, and fuel retailer partners- including scheduling, optimizing, and reporting.</div>
<div></div><div>A successful candidate will work closely with cross-functional teams and be the voice of Ad Operations in initiatives throughout the company.</div>
<div></div><div><b>Responsibilities:</b></div>
<div>Responsibilities include, but are not limited to:</div>
<ul><li>Effectively manage a high performing team &ndash; oversee the day-to-day execution of their work by providing direction, guidance, and support with a relentless focus on customer satisfaction.</li></ul>
<ul><li>Consistently implement maximizing your team&rsquo;s efficiency and accuracy across all workstreams to drive scalable practices.</li></ul>
<ul><li>Mentor, lead and grow a distributed team of specialists and managers with clearly defined outcomes tied to business objectives and career growth trajectory.</li></ul>
<ul><li>Foster strong collaboration with sales, sales planning, marketing, retailer partnerships, technology and other departments to ensure optimal cross-functional workflow and communication.</li></ul>
<ul><li>Oversee post-sale execution of our advertiser-driven campaigns while working closely with relevant teams to ensure successful trafficking, delivery and reporting requirements are met across all buy types.</li></ul>
<ul><li>Execute scalable operational practices to support requirements of supply partners in partnership with our retailer partnerships team.</li></ul>
<ul><li>Deliver a cohesive, connected and scalable advertiser campaign reporting process across all buy types with supporting documentation, and clear requirements in ensuring ad campaigns are pacing and optimization tactics are in use.</li></ul>
<ul><li>Manage all facets of programmatic and digital extension operations, ensuring continuous process and systems improvements to drive scalability and accuracy.</li></ul>
<ul><li>Ensure content segments and sponsored activations are accurately and efficiently managed through management of content models and partner delivery in partnership with Marketing.</li></ul>
<ul><li>Ensure inventory and scheduling practices are built within team workflow to drive strategic use of our inventory &ndash; delivering a best-in-class experience for all key constituents.</li></ul>
<ul><li>Work in tandem with Technology and the NOC to understand health of network, any outages or other variables that may be impacting the consumer experience and/or advertiser and fuel retailer campaigns.</li></ul>
<ul><li>Develop and maintain relationships with internal owners of/or direct with relevant external partners to ensure we are leveraging platforms efficiently and cost effectively.</li></ul>
<ul><li>Identify, implement and integrate systems and processes into the most optimal ad operation infrastructure to increase functionality, efficiency, and stability of campaign delivery requirements.</li></ul>
<ul><li>Create and maintain process documentation and best practices for the team.</li></ul>
<ul><li>Develop and execute against ad operations team OKRs and report on key metrics and trends.</li></ul>
<ul><li>Draft and manage team budget for your department and related projects run by your team.</li></ul>
<ul><li>Stay abreast of industry developments and demand for latest advertising capabilities and reporting requirements; translate them into POVs to share with product and business teams, devise ways to assimilate trends internally.</li></ul>
<ul><li>Other duties as assigned.</li></ul>
<div></div><div><b>Requirements:</b></div>
<div>You are</div>
<ul><li>Passionate leader able to motivate a team with a common vision to deliver excellent execution.</li></ul>
<ul><li>Energetic self-starter with a positive &ldquo;can-do&rdquo; attitude that loves problem solving.</li></ul>
<ul><li>Obsessed with customer satisfaction and puts our clients and consumers at the center of everything we do.</li></ul>
<ul><li>Results-driven with an ability to absorb complex concepts and communicate them clearly.</li></ul>
<ul><li>Respectful, likeable and relatable with a high level of accountability and integrity.</li></ul>
<ul><li>Strong team player, willing to roll up your sleeves to get any job done.</li></ul>
<ul><li>Continuous learner always having a pulse on the latest industry and ad ops trends.</li></ul>
<ul><li>Operate with a sense of urgency and purpose.</li></ul>
<ul><li>Resourceful and they have the ability to find solutions even when they are not obvious.</li></ul>
<div></div><div>You have, ideally,</div>
<ul><li>Experience and knowledge with video ad serving data technologies, campaign reporting systems, business intelligence tools (i.e., DOMO) and programmatic platforms.</li></ul>
<ul><li>Strong knowledge of campaign lifecycle management, ad sales process, trafficking, QA, performance analytics/ reporting.</li></ul>
<ul><li>Intermediate level proficiency in MS Office, particularly in Excel (solid ability to create pivot tables, v-lookups, SUMIFS, etc.).</li></ul>
<ul><li>Exceptional leadership, relationship management, and communication skills working in a client-oriented setting.</li></ul>
<ul><li>Outstanding organizational skills with the ability to work well under pressure in a fast-paced changing environment.</li></ul>
<ul><li>Experience with Salesforce and/or other CRM tools.</li></ul>
<ul><li>OMS integration experience / SME level abilities.</li></ul>
<div></div><div>The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div>
<div></div><div><b>Education and/or Experience:</b></div>
<div>Experience:</div>
<ul><li>Ideal candidate will have 10+ years of experience working within an ad operations organization at a media organization as well as 5+ years of experience leading a team.</li></ul>
<div></div><div>Education:</div>
<ul><li>Bachelor&rsquo;s Degree in applicable field of study.</li>
</ul>
<div></div><div>Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at GSTV's discretion, or otherwise applicable with local law.</div>
<div></div><div><i>Note: The expected salary range for this position is based on a combination of experience and qualifications for the position, as well as geographic location to align with local market.</i></div></div><div></div>

VP, Ad Operations

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