applied scientist

Adobe

Join Adobe Firefly’s Applied Science & Machine Learning (ASML) group and help advance content generation technologies powered by artificial intelligence. This role involves working closely with a motivated team on refining and compressing large-scale AI models. Your efforts will affect millions of users.
 Job Description
 Adobe is dedicated to changing the world through digital experiences. We offer everything needed to build and deliver outstanding experiences to everyone—from emerging artists to global brands. We are passionate about enabling people to develop beautiful images, videos, and apps. We also help companies change how they connect with customers across all screens. Our mission is to hire top talent and build outstanding employee experiences with respect and equal opportunity for all. New ideas can come from anywhere in our organization, including from you.
 Adobe Firefly’s Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models to join the team. This role will focus on raising the quality, efficiency, and deployability of Adobe’s generative models for images and videos. The chosen candidate will collaborate with researchers and engineers to build and refine post-training pipelines such as supervised fine-tuning (SFT), preference optimization, and model distillation. These efforts will facilitate adapting large complex models into efficient production versions.
 This role influences the performance and scalability of Firefly’s generative AI systems, facilitating next-generation creative functionalities for millions of users. As an Applied Scientist at Adobe, you will join a distinguished team of applied researchers and engineers committed to developing and improving generative AI systems. You will work alongside data, modeling, and infrastructure groups to implement post-training upgrades into production systems that support Adobe products.
 Job Responsibilities
 Develop and run distillation pipelines to transfer capabilities from large teacher models into smaller, efficient student models.
 Carry out and refine post-training methods including supervised fine-tuning (SFT), preference optimization (DPO/GRPO), and reward-based learning.
 Build infrastructure and tools for teacher rollout creation, distillation data pipelines, and training workflows.
 Carry out experiments aimed at improving model quality, efficiency, and instruction alignment for generative AI models.
 Collaborate closely with research scientists to convert research ideas into scalable training pipelines and production-ready implementations.
 Evaluate models using both automated metrics and human preference signals to guide post-training improvements.
 Optimize models for deployment efficiency, including distillation, model compression, and inference performance.
 Collaborate with various groups such as data, research, and product units to incorporate post-training improvements into Adobe Firefly systems. What you need to succeed
 Expertise in machine learning algorithms and model distillation techniques
 Strong programming skills in Python or similar languages
 Experience with AI model training and optimization
 Preferred qualifications: Advanced degree or relevant experience in a related field, background in large-scale data pipelines, and knowledge of Adobe products.
 #FireflyGenAI
 
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $164,800 - $238,600
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Applied Scientist 3

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 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 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Hands on expertise designing and implementing GenAI solutions on Azure
 </li>
 <li>
 Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
 </li>
 <li>
 Hands on experience with python for prototyping and implementing GenAI solutions
 </li>
 <li>
 Expertise optimizing advanced RAG architectures and designing information retrieval system
 </li>
 <li>
 Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
 </li>
 <li>
 Understanding on the latest Agentic and RAG research and innovation areas
 </li>
 <li>
 Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
 </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
 
 
 A highly curious and inquisitive approach to problem-solving
 
 
 In-depth knowledge of the latest developments in AI and machine learning
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

Adobe Firefly’s ASML group invites research scientists and engineers passionate about conditional generation and editing of large generative AI models. This role emphasizes images and videos. We strive to advance generative AI technology while guaranteeing models possess excellent quality and control.
 We are especially looking for candidates experienced in large-scale, industry-level pre-training and mid-training of multi-modality generative models. This role has a direct effect on the quality of Adobe’s image and video generation models, supporting next-generation creative workflows for millions of users.
 As an Applied Scientist at Adobe, you will join a world-class team of applied researchers and engineers building the future of digital experiences. You will have the opportunity to innovate across the full training stack, collaborate across data, modeling, and product, and see your work ship to customers worldwide.
 Job Responsibilities
 <ul>
<li>Conduct innovative research and development in training large-scale generative AI models for image and video synthesis.</li>
<li>Develop, carry out, and carefully assess sophisticated techniques for conditional generation and editing. Emphasize improving instruction compliance, controllability, and visual clarity in pre-trained image and video models.</li>
<li>Collaborate cross-functionally with researchers, engineers, and product teams to translate multimodal innovations into scalable downstream applications coordinated within Adobe products.</li>
<li>Develop and maintain robust evaluation pipelines to assess generative models across quality, efficiency, robustness, and safety metrics.</li>
<li>Translate research concepts and published work into production-ready implementations using Python and modern machine learning frameworks.</li>
</ul>
What you'll need to succeed
 <ul>
<li>Possession of a Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related field.</li>
<li>Extensive practical experience in large-scale generative AI training concentrating on image and video generation and editing.</li>
<li>Familiarity with diffusion models, transformers, or other brand new generative architectures.</li>
<li>Excellent communication skills and ability to collaborate across cross-functional teams.</li>
<li>Strong coding and prototyping ability in Python, PyTorch, and ML infrastructure tools.</li>
<li>Working with product teams on technology transfers.</li>
<li>Strong history of publishing in Computer Science, AI/ML, or related areas.</li>
</ul>
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $164,800 - $238,600
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Applied Scientist

Presight

<div>
 
 
 
 About Presight
 
 
 
 
 
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 
 
 
 
 Position Overview
 
 
 
 
 
 
 
 We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 &middot; Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
 
 
 &middot; Create code that is elegant and maintainable
 
 
 &middot; Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
 
 
 &middot; Work closely with software engineering and product development teams on tech selections and solutions.
 
 
 &middot; When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
 
 
 &middot; Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 o Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 
 
 Experience:
 
 
 o 5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 
 
 Skills:
 
 
 o Experience in training and evaluating models using TensorFlow and Pytorch
 
 
 o Experience with training large-scale systems on large data sets
 
 
 o Fluent in C/C++ and Python with over 4 years of experience
 
 
 o Track record of shipping working code and solutions based on your contributions
 
 
 o Team player, ability to perform in cross functional teams and to share knowledge to others
 
 
 o Good communication skills in English
 
</div>

<div>
 
 Overview
 
 
 
 About Presight
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 Position Overview
 
 
 We are looking for a highly skilled Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&amp;D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
 </li>
 <li>
 Create code that is elegant and maintainable
 </li>
 <li>
 Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
 </li>
 <li>
 Work closely with software engineering and product development teams on tech selections and solutions.
 </li>
 <li>
 When necessary, debug, optimize and aspire to make things pixel perfect. Be willing to spend time in making things truly amazing, not just great.
 </li>
 <li>
 Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance of Organizations policies, procedures, plans, and related risk assessments.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5+ years of professional R&amp;D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Experience in training and evaluating models using TensorFlow and Pytorch
 </li>
 <li>
 Experience with training large-scale systems on large data sets
 </li>
 <li>
 Fluent in C/C++ and Python with over 4 years of experience
 </li>
 <li>
 Track record of shipping working code and solutions based on your contributions
 </li>
 <li>
 Team player, ability to perform in cross functional teams and to share knowledge to others
 </li>
 <li>
 Good communication skills in English
 </li>
 </ul>
</div>

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The North America Stores GenAI Evaluation Media (GEM) team is seeking a Senior Applied Scientist to help shape the future of visual shopping experiences. We're building CXs and foundational capabilities to understand, enhance, and generate real-time GenAI imagery, videos and CXs that inspire customers and drive purchase confidence, towards our vision to be the leader in visual media. Specifically, the charter will focus on visual agentic experiences, multi-modal personalization, and real-time image/video generation, looking ahead as customer shopping continues to inspirational assistant-driven experiences. 
 
As a Senior Applied Scientist on the team, you will own and define the scientific vision, strategy, and roadmap for agentic AI capabilities that inform and guide the customer's shopping journey through visuals. This includes architecting and advancing core science primitives for multimodal understanding, visual content generation and editing, personalized virtual try-on, and automated quality assurance. You will establish the technical direction for foundational capabilities that enable customers to express and discover styles through multimodal conversation and receive personalized, visual responses that bring their ideas to life. 
 
Your scientific leadership will emphasize accurate, real-time visual understanding and generation, contextual understanding, and scalable personalization, enabling agentic AI to actively collaborate with customers to achieve their style goals. You will set the long-term research agenda, bringing together computer vision, natural language processing, generative AI, and human-centered design to create agentic shopping experiences that are as intuitive as talking to a human specialist with a deep domain knowledge base. Success requires defining and institutionalizing robust evaluation frameworks and metrics, influencing and aligning cross-functional partners across organizations, validating asset effectiveness across diverse customer touch points, identifying whitespace opportunities, and staying at the forefront of rapid advances in AI technology. 
 
The ideal candidate will have deep and broad technical expertise in Computer Vision, Generative AI, or related fields with a proven track record of connecting scientific work to customer and business outcomes at scale. You will serve as a technical leader and thought partner to scientists, engineers, and senior stakeholders across Amazon, mentoring junior scientists, raising the scientific bar, and delivering innovation while upholding a culture of scientific excellence and customer obsession. This role requires both rigorous research skills and practical engineering instincts, with a focus on delivering solutions that scale and a demonstrated ability to navigate ambiguity, make high-judgment trade-offs, and drive alignment across competing priorities. You will be expected to contribute to the broader scientific community through publications, patents, and internal knowledge sharing. This is a unique opportunity to shape the technical strategy for visual commerce through applied AI research, building the systems that will define how hundreds of millions of customers discover and evaluate products and styles through visual experiences. 
 
Key job responsibilities 
Innovation &amp; Technical Execution 
 
Define the research roadmap and advance core science primitives for vision and language understanding, visual content generation and editing, virtual try-on, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI 
Architect visual agentic systems, making high-judgment trade-offs across visual quality, relevance, latency, cost, and long-term extensibility 
Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points 
Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance 
Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact 
Drive development and deployment of scalable agentic systems for visual content understanding and generation, ensuring architectural decisions support long-term platform evolution 
Set and continuously raise the scientific and engineering bar across the team 
Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability 
Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents 
 
Cross-functional Influence &amp; Leadership 
 
Influence product and engineering roadmaps by partnering with senior leadership to shape customer-facing features grounded in scientific insight 
Drive technical alignment across multiple teams and organizations within Amazon, resolving ambiguity and building consensus on approaches 
Communicate research vision, findings, and technical trade-offs persuasively to executive, technical, and non-technical stakeholders, shaping investment decisions 
Mentor and develop junior and mid-level scientists, accelerating their growth and impact<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>4+ 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></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in building machine learning models for business application</li><li>Experience with conducting research in a corporate setting</li><li>Experience with neural deep learning methods and machine learning</li><li>Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.</li><li>Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.</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. 
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. 
USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, GEM

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Leo is Amazon&rsquo;s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. 
 
Key job responsibilities 
<ul><li>Solve large scale and complex optimization problems for operating satellite constellations</li><li>Work with our peer teams and customers to design suitable software systems to fulfill the mission needs.</li><li>Write code for production cloud native software systems in Java and Python.</li><li>Utilize AWS and other Amazon technologies to build high-available software services.</li><li>Help on-board and mentor new team members.</li><li>Lead technical roadmap definition efforts and decide what software services to build.</li></ul> 
Export Control Requirement 
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. 
 
A day in the life 
As a Senior Applied Scientist, you will play a crucial role in the development of services to support the automation of the Leo mission. You will work with a dynamic group of passionate engineers and collaborators across peer teams to identify automation needs, design novel solutions that meet customer requirements, and write software to automate key behaviors for our constellation's space and ground assets. You will be building low-latency, highly-scalable architecture to generate and execute our mission plans safely and effectively. 
 
About the team 
The team builds software which supports the automated planning and execution of satellite activities, empowering humans to automate key tasks and take themselves out of the loop as we scale the Leo constellation. We own services that model spacecraft behaviors, predict future vehicle state, capture operational constraints on our system, and generate mission schedules that serve our customers while preserving vehicle health and safety.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><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>PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Master's degree</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>2+ years of mathematics optimization such as linear programming and nonlinear optimization experience</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. 
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. 
USA, WA, Redmond - 167,100.00 - 226,100.00 USD annually</div>

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