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ai researcher

Bill & Melinda Gates Foundation

<div><div>The Foundation</div><div>
We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we&rsquo;re committed to creating an environment for you to thrive both personally and professionally.</div><div></div><div>
The Team</div>
Our mission is to harness the power of artificial intelligence to bridge the digital divide, with a focus on ensuring AI is deployed ethically and equitably to benefit low- and middle-income countries (LMICs). As large language models continue to advance, we are committed to unlocking AI&rsquo;s potential to drive innovative development solutions tailored to the needs of LMICs.<br>
<br>
Our portfolio of initiatives is wide-ranging&mdash;spanning the design of new AI applications for decision support and conversational interventions, as well as advancing technical product development and impact in health, education, and agriculture. Building on the momentum of early proof-of-concept projects, our goal is to ensure that the benefits of AI are inclusive, reaching all segments of society.<div></div><div>
Please apply by EOD Friday, September 17 to be considered for the November 2025 cohort.</div><div></div><ul><li><i>Note: This is a 12-month limited term position. Candidates must be able to legally work in the country where this position is located without visa sponsorship.</i></li></ul><div></div><div>
Your Role</div><div>
The AI Fellows Program at the Gates Foundation is designed to accelerate the responsible and impactful use of AI in global health, development, and education. Our goal is to attract top-tier, mission-aligned AI talent to drive innovation in these areas. As a Gates AI Fellow, you will join a prestigious cohort applying AI for public good and gain career-defining experience, access to Gates&rsquo; powerful network, and exposure to senior leadership.</div><div></div><div>
This role offers the unique opportunity to collaborate across multiple divisions within the Foundation&mdash;including Global Health (GH), Gender Equality (GE), Global Development (GD), and Global Growth &amp; Opportunity (GGO)&mdash;all of which are leveraging AI to accelerate progress toward their strategic goals and objectives.</div><div></div><div>
Over the course of 12 months, each AI Fellow will be assigned to high-priority projects, embedded within Strategic Initiatives or relevant Programmatic Strategy Teams (PSTs). Sample project areas will include:</div><ul><li><div>
Developing agent-based data tools and dashboards (e.g., periodic AI-generated insights).</div></li><li><div>
Building AI-powered prediction models for simple diagnostics.</div></li><li><div>
Designing and running lightweight A/B tests to validate concepts quickly.</div></li><li><div>
Building chatbots and interactive prototypes for pre-field assessment.</div></li><li><div>
Pressure-testing or adapting tools developed by Foundation partners and grantees for usability and adoption.</div></li><li><div>
Embedding AI agents in flagship Foundation databases or workflows.</div></li></ul><div></div><div>
What You&rsquo;ll Do</div><div>
Problem Identification &amp; Scoping</div><ul><li><div>
Identify, frame, and prioritize real-world challenges in collaboration with program teams, ensuring solutions are grounded in user needs and local realities.</div></li></ul><div>
Prototyping &amp; Rapid Experimentation</div><ul><li><div>
Prototype rapidly with modern LLM and AI tools to test feasibility, generate insights, and create lightweight demos.</div></li><li><div>
Document learnings from prototypes and translate them into actionable recommendations for scale or next steps.</div></li></ul><div>
Design and Deliver AI Solutions</div><ul><li><div>
Design and implement AI/ML models to address challenges in global health, development, agriculture, diagnostics, or education.</div></li><li><div>
Conduct rigorous model evaluation and validation, ensuring accuracy, fairness, and real-world applicability.</div></li><li><div>
Prepare, curate, and manage datasets, ensuring data integrity, security, and ethical use.</div></li><li><div>
Develop high-quality, reliable software, applying strong engineering practices such as clean code, version control, and robust testing.</div></li><li><div>
Leverage large language models (LLMs), including deployment, fine-tuning, and adaptation to specific use cases.</div></li></ul><div>
Teaching &amp; Capacity Building</div><ul><li><div>
Develop and deliver workshops, guides, and playbooks to enable Foundation staff and partners to use LLM tools effectively in their own work.</div></li><li><div>
Mentor program teams and local partners in applying AI responsibly, with a focus on usability and adoption in LMIC contexts.</div></li></ul><div>
Collaborate Across Teams and Partners</div><ul><li><div>
Apply interdisciplinary problem-solving skills to translate AI research into practical solutions across multiple domains.</div></li><li><div>
Communicate technical concepts effectively to both technical and non-technical stakeholders, enabling shared understanding and informed decision-making.</div></li><li><div>
Collaborate with cross-functional teams across disciplines and geographies to co-design and deliver impactful solutions.</div></li><li><div>
Facilitate workshops and training sessions to demystify AI tools, enabling teams to directly apply solutions to their workflows.</div></li></ul><div>
Advance Responsible and Ethical AI</div><ul><li><div>
Embed equity, bias mitigation, and data privacy in all technical approaches.</div></li><li><div>
Ensure prototypes are designed with explainability in mind, making them accessible to non-technical stakeholders.</div></li><li><div>
Align AI solutions with the Foundation&rsquo;s mission and global health and development goals.</div></li><li><div>
Share thought leadership by integrating prior academic, research, or professional experiences to advance the responsible and impactful use of AI.</div></li></ul><div></div><div>
Your Experience</div><div>
We are looking for fellows who represent a balance of technical competence and alignment with Foundation values.</div><ul><li><div>
Education: Candidates must hold a Bachelor&rsquo;s or Master&rsquo;s degree (in Computer Science, Data Science, Engineering, Applied Math or relevant field).</div></li><li><div>
AI Technology: Proficiency in ML/AI modeling, software engineering, model evaluation, LLM deployment, and data wrangling, with evidence of applied coursework, research, internships, or early professional experience.</div></li><li><div>
AI Applications: Demonstrated interest in applying AI to fields such as health systems, agriculture, diagnostics, or education, with enthusiasm and literacy to use modern AI tools safely and pragmatically (direct AI research experience not required).</div></li><li><div>
Collaborative Mindset: Strong teamwork and adaptability, with experience working cross-functionally in complex environments.</div></li><li><div>
Communication Skills: Demonstrated ability to clearly articulate technical concepts and recommendations to both technical and non-technical audiences.</div></li><li><div>
Mission-Driven Ethos: Deep motivation to apply AI responsibly for public good, with alignment to equitable development and global health impact.</div></li><li><div>
Builder and Teacher Mindset : Hands-on experience building prototypes with LLMs (e.g., using open-source tools or API-based platforms) and a willingness to share learnings openly. Ability to teach and enable others, not just deliver technical outputs.</div></li></ul><div></div><div>
Why you should consider becoming a Gates AI Fellow</div><ul><li><div>
Apply AI where it matters most: Work on problems core to the Foundation&rsquo;s mission&mdash;health, development, and education so more people can live healthy, productive lives.</div></li><li><div>
Drive outsized results in LMICs: Aim solutions at countries and communities the Foundation prioritizes, where innovation can move the needle fastest.</div></li><li><div>
Advance digital public goods: Contribute to safe, inclusive digital public infrastructure and health innovation efforts where AI can accelerate access and equity. Partner with Program Strategy Teams to deliver tangible prototypes, tools, and analyses.</div></li><li><div>
Tap into a uniquely powerful network: Collaborate across multilaterals, NGOs, academia, and industry through the Foundation&rsquo;s partnership model.</div></li><li><div>
Stand on a global platform: Benefit from the credibility and reach of a foundation funding work in over 140 countries.</div></li><li><div>
Lead from day one: Own high-priority projects with clear outcomes and stakeholders.</div></li><li><div>
Grow faster with expert mentorship: Learn from leaders across AI, health, development, and policy while building a portfolio of real-world impact.</div></li><li><div>
Compensation: The fellowship offers a starting salary of $148,920&ndash;$162,350, depending on work location. To ensure equity, all AI Fellows receive the same compensation within this structure.</div></li><li><div>
Benefits: We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we&rsquo;re committed to creating an environment for you to thrive both personally and professionally.</div><ul><li><div>
Medical, Dental and Vision Coverage: The foundation pays 100% of monthly premiums for medical, vision, dental, identity theft protection, and the employee assistance program for employees, spouses/domestic partners, and children to age 26, as well as basic life insurance, disability, business travel accident, and emergency travel assistance for eligible employees.</div></li><li><div>
Foundation Sharing Retirement Plan: The foundation contributes an amount equal to 15% of eligible employee compensation (subject to IRS limitations*) quarterly to the foundation sharing plan on your behalf.</div></li><li><div>
Vacation Time: You may take the time you need for vacation so you can return to work able to contribute fully to the foundation&rsquo;s mission. The approval of time off requests is subject to business needs, reasonable management discretion, and your professional commitments. You are eligible to accrue paid time off for vacation at a rate equivalent to 15 days per year.</div></li><li><div>
Sick Time: You are eligible for up to 12 paid sick days</div></li><li><div>
Personal Time &amp; Holidays: In addition to vacation and sick leave, the foundation provides personal days, paid holidays, and end-of-year closure.</div></li><li><div>
Employee Matching Gifts: The foundation will match employee contributions up to $10,000 per year to eligible organizations at a rate of three dollars for every one dollar contributed.</div></li><li><div>
Additional Benefits: Employee Assistance Program, Identity Theft Protection, Caregiver Leave, Parental Bonding Leave, and more.</div></li></ul></li></ul><div></div><div>
Frequently Asked Questions (FAQs)</div><div>
Q: Who is eligible to apply?<br>
A: Applicants must hold at least a Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Applied Math, or a related field. You must also have the legal right to work in the country where the position is based, as visa sponsorship is not available.</div><div></div><div>
Q: Do I need prior experience in global health or development?<br>
A: Not necessarily. While experience is helpful, what matters most is demonstrated technical competence in AI/ML and a strong motivation to apply AI responsibly for public good.</div><div></div><div>
Q: When is the application deadline?<br>
A: Applications are due by EOD Friday, September 17, 2025 to be considered for the November 2025 cohort.</div><div></div><div>
Q: What is the application process for the AI Fellowship Program?<br>
A: While the process may evolve based on business needs, all applicants can generally expect the following steps:</div><ul><li><div>
Application Review &ndash; Your application will be carefully reviewed by a team dedicated to this program.</div></li><li><div>
Technical Assessment &ndash; Qualified candidates will be invited to complete a technical exercise.</div></li><li><div>
Talent Acquisition Conversation &ndash; Candidates who pass the assessment will have an informational conversation with a Talent Acquisition colleague.</div></li><li><div>
Final Interviews &ndash; A combination of technical and behavioral panel-style interviews with foundation stakeholders.</div></li></ul><div><i>
Note: The order of these steps may be adjusted as needed based on business requirements.</i></div><div></div><div>
Q: Is this a full-time position?<br>
A: Yes. Fellows are full-time employees of the Gates Foundation for the duration of the 12-month fellowship.</div><div><br>
Q: Where will Fellows be located?<br>
A: Fellows can be based remotely in the U.S. or in the Seattle, WA office. Some roles may involve international travel (up to 30%).</div><div></div><div><br>
Hiring Requirements</div><div>
As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.</div><div></div><div>
Candidate Accommodations</div><div>
If you require assistance due to a disability in the application or recruitment process</div><div></div><div>
Inclusion Statement</div><div>
We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion &mdash; of voices, ideas, and approaches &mdash; and we support this diversity through all our employment practices.</div><div></div><div>
All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.</div></div>

AI Fellows (12-month LTE*)

Amazon.com

<p></p><div><div><p>DESCRIPTION</p><div>
As part of the AWS Applied AI Solutions organization, we're advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries.<br>
<br>
The Team<br>
Our research team is tackling fundamental challenges in visual reasoning that combine generative AI and agentic frameworks. We're investigating novel approaches to how AI systems understand spatial relationships, reason about object interactions, and maintain contextual awareness across time. Working at the intersection of computer vision and large language models, we're developing theoretical frameworks and practical techniques that advance the state-of-the-art in visual AI.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop a novel agentic AI framework to solve diverse visual AI challenges in the physical world</li><li>Advance the theory and practice of multi-modal foundation models for visual understanding</li><li>Design new approaches to memory and attention mechanisms for processing continuous visual streams</li><li>Create innovative techniques for efficient visual processing that can scale to real-world applications</li><li>Research new methods for autonomous decision-making based on visual inputs</li><li>Investigate approaches to reduce the computational and data requirements of visual reasoning systems</li></ul><br>
A day in the life<br>
As an Applied Scientist, you'll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You'll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You'll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology.<br>
<br>
About the team<br>
AWS Solutions<br>
<br>
As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br>
About AWS<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div></div><div><p>
BASIC QUALIFICATIONS</p><ul><li>PhD in Computer Science, Machine Learning, or related field (or MS with equivalent research experience)</li><li>Track record of publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on visual reasoning, scene understanding, or visual-language models</li><li>Strong background in computer vision, deep learning, and multi-modal foundation models</li><li>Experience with PyTorch or other deep learning frameworks</li><li>Demonstrated ability to transform research ideas into practical implementations</li></ul></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>Deep knowledge of large multimodal models, fine-tuning techniques, and agentic frameworks, particularly in computer vision</li><li>Experience with large-scale model training and optimization</li><li>Background in cognitive science or computational neuroscience relating to visual processing</li><li>Contributions to open-source AI projects or research frameworks</li><li>Experience mentoring junior researchers and collaborating with engineering teams</li><li>Strong track record of turning research breakthroughs into practical applications</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></div>
<br><div><div><p>Job details</p></div><ul><div><p><div>
USA, WA, Seattle</div></p></div><div><p><div>
Research Science</div></p></div></ul></div>

Applied Scientist II, AWS Applied AI Solutions, Visual Reasoning & Agentic AI

<p></p><div><div><p>DESCRIPTION</p><div>
Come join the AWS AI science team in building the next generation models for intelligent automation.<br>
<br>
AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.<br>
<br>
We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.<br>
<br>
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.<br>
<br>
About the team<br>
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div></div><div><p><br>
BASIC QUALIFICATIONS</p><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 in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul></div><div><p>
PREFERRED QUALIFICATIONS</p><ul><li>Experience using Unix/Linux</li><li>Experience in professional 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>
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>
<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></div>
<br><div><div><p>Job details</p></div><ul><div><p><div><div>
USA, WA, Seattle</div><div>
USA, CA, Santa Clara</div><div>
USA, NY, New York</div></div></p></div><div><p><div>
Machine Learning Science</div></p></div></ul></div>

Applied Scientist, Agentic AI, AWS Agentic AI

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br>
<br>
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.<br>
<br>
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
<br>
We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;</li><li>Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end;</li><li>Design and conduct offline and online (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>Publish your research findings in top conferences and journals.</li></ul><br>
About the team<br>
Prime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>5+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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>
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>
<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, Prime Video - Personalization and Discovery Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.<br>
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Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
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As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.
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We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!<br>
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Key job responsibilities<br>
<ul><li>Develop ML models for various recommendation &amp; search systems using deep learning, online learning, and optimization methods</li><li>Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps</li><li>Stay up-to-date with advancements and the latest modeling techniques in the field</li><li>Publish your research findings in top conferences and journals</li></ul><br>
A day in the life<br>
We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative &amp; customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences.
</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>Experience programming in Java, C++, Python or related language</li><li>1+ years of building models for business application experience</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
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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Pursuant to the San Francisco 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>
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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, Prime Video Personalization and Discovery Science

Foundry10

<div>Description:
<p>
foundry10 is an education research organization with a philanthropic focus on expanding ideas about learning and creating direct value for youth. This position is hybrid and requires some in-person work at and near the foundry10 office. Candidates must live in Washington State.</p><p>
We are not able to sponsor visa applications. To be considered for this position, you must be eligible to work in the United States.</p><p>
To protect our staff, partners, and the youth we serve, we require all foundry10 employees to adhere to our masking and COVID testing policies when working in person.</p><p><b>
Summary of Role</b></p><p>
The STEM Design Based Research lab at foundry10 is looking to hire a Graduate Student Researcher to assist in the design and execution of research studies focused on games and learning, museums and learning, and knowledge organization.</p><p>
The Graduate Student Researcher will work closely with Dr. Travis Willingham Windleharth on research projects that require skills or expertise in the graduate student&rsquo;s field of study. They will provide substantial collaboration on research projects, including helping to develop all aspects of the research process (e.g., designing a research study, recruitment parameters, data analysis techniques, technical and non-technical writing). Additionally, they will work with Junior Researchers in moving projects forward. The ideal candidate has (1) strong written communication skills, (2) research experience in museums, game based, or STEM learning, and (3) training in qualitative and quantitative research methods.</p><p>
This is a part-time, temporary position with variable hours of 10-16 hours per week, for approximately six months with an anticipated start date in late October 2025. Pay is $35 to $45/hr. <b>Applicants must live in the state of Washington to apply.</b></p><p><b>
Responsibilities</b></p><ul><li>
Assist in the development and execution of research projects for the STEM Design Based Research Lab</li><li>
Work with Senior Researchers and Junior Researchers on developing/executing all stages of the research process, with an emphasis on writing, including:
<ul><li>Conducting literature reviews</li>
<li>Writing IRB Approval Forms</li>
<li>Survey creation (question writing, pulling measures)</li>
<li>Interview guide creation</li>
<li>Observation guide creation (pulling assessments)</li>
<li>Piloting data collection instruments at local partner locations</li>
<li>Data cleaning</li>
<li>Data analysis (qualitative and quantitative)</li>
<li>Sharing results through written reports, presentations, conferences, and other relevant mediums</li>
</ul></li><li>Independently carry out data collection, analysis, and research communication with guidance and mentorship from Senior Researchers</li><li>
Conduct background research and contribute to the writing of literature reviews</li><li>
Assist in writing specific sections of peer-reviewed publications and/or present at a professional conference</li><li>
Analyze data from research and translate it into other mediums for worthwhile sharing (e.g., Medium posts, white papers)</li><li>
Communicate actionable insights to various learning and research communities/fields as well as with lay-people in the community</li><li>
Support the development of the STEM Design Based Research knowledge base through exploratory research initiatives and literature reviews</li></ul>
Requirements:
<p><b>
Education and Experience</b></p><ul><li>
Working towards a graduate degree in Education, Museology, Information Science, or related social science field (e.g., Human Development, Psychology, Sociology)</li><li>
Experience with qualitative (e.g., conducting interviews/focus groups, analyzing data) and quantitative methods (e.g., survey design, statistical analysis and interpretation)</li><li>
Experience working with youth</li><li>
Experience working with educators in school or informal learning environments</li><li>
Experience writing for academic audiences</li></ul><p><b>
Other Requirements</b></p><ul><li>
Must be able to travel to data collection sites within 35 miles of the foundry10 office</li><li>
Outside of required in-person data collection activities with youth, candidates may work remotely</li></ul><p><b>
To be considered for this position, please submit your CV/resume. A cover letter detailing related research experiences and training is optional. Candidates selected for an interview will be asked for a writing sample of prior work of which they are the sole author.</b></p><p><b>
Priority will be given to applications received by September 22nd.</b></p><p>
Employment decisions are based on merit and business needs. foundry10 strives to provide a work environment free from discrimination and harassment because of a protected characteristic. The organization does not discriminate against employees or applicants based on race, color, creed, citizenship, status, national origin, ancestry, gender, genetic information, sexual orientation, gender expression or identity, age, religion, pregnancy or pregnancy-related condition, physical or mental disability, marital status, veteran status, political affiliation, or any other characteristic protected by law.</p><p>
We are committed to providing reasonable accommodations to assist individuals with disabilities with the application and interviewing process as well as essential job functions.</p></div>

Graduate Student Researcher - STEM Design-Based Research Lab

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build </i><i>a sustainable economy</i><i> where everyone can prosper. We support a wide range of digital payments choices, making </i><i>transactions secure,</i><i> simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Director, AI Strategy &amp; Solutions Delivery<p></p>
Reporting to a VP in the Mastercard AI Center of Excellence, this role drives enterprise-scale AI and automation strategy and execution. You&rsquo;ll define the roadmap, architect solutions, and lead cross-functional delivery to unlock measurable efficiency and innovation. Sitting at the intersection of product leadership, technical program management, and intelligent solutions architecture, you&rsquo;ll deliver agentic automation and AI solutions from strategy and portfolio shaping to solution delivery and operating model design. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases; and, when the use case calls for it, lead data science teams in model developing in shaping modeling strategy, evaluation frameworks, and production pathways to value. This role is designed for a leader who can move from whiteboard to working solution to scaled adoption, while keeping value capture, safety, and sustainability front and center. This role is responsible for ensuring value creation by:<br>
<ul><li>Developing long-term strategies to build AI solutions that maximize business value</li><li>Enabling rapid and iterative execution of AI projects</li><li>Augmenting our innovative AI operating model by creating processes, establishing standards, and contributing thought leadership</li></ul><br>
The Role<br>
1. Developing AI-driven strategies to support business value<br>
o Identify, qualify, and prioritize high-impact AI, analytics, and agentic automation opportunities across business domains.<br>
o Quantify full value at stake and value levers (automation, augmentation, revenue lift, risk mitigation), with clear dependencies and path to realization.<br>
o Bring together expertise in AI, data engineering, solution architecture, and relevant business domains to design fit-for-purpose solutions leveraging LLMs, RAG, and agentic automation.<br>
o Translate ambitious north star visions into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.<br>
o Achieve maximum scale from AI solutions by proactively identifying and addressing barriers to scale and generalizing solutions to multiple applications.<br>
o Partner with Microsoft and internal platform teams on best practices for Copilot Studio, Azure OpenAI, and Power Platform governance to ensure enterprise-grade scalability, security, and compliance.<br>
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2. Enabling rapid and iterative delivery of AI solutions with consistent value creation<br>
o Serve as solutions architect and product owner for critical initiatives&mdash;defining scope, non-functional requirements, SLAs/SLOs, and acceptance criteria.<br>
o Partner with AI and ML engineering leaders to manage versioning, iteration planning, and solution delivery, creating transparency for business stakeholders and proactively mitigating delivery issues.<br>
o Build productive relationships with key business stakeholders to help them co-own the AI solutions, enabling the business to provide feedback and guidance at all stages of development.<br>
o Bring business expertise and focus on value capture to AI problem-solving during development, helping the team to maximize impact and minimize unnecessary complexity.<br>
o Augment our business stakeholders&rsquo; teams with AI and change management expertise, helping them to realize maximum value from AI solutions.<br>
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3. Advancing our innovative operating model for AI teams<br>
o Lead interactions with AI and ML engineering teams to develop and codify more effective ways for AI and strategy teams to collaborate.<br>
o Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.<br>
o Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.<br>
o Develop and maintain three synchronized roadmaps: stakeholder engagement &amp; adoption, use case portfolio, and technical capabilities/platform evolution.<br>
o Conduct peer training and author thought leadership along with other members of the team to augment the full team&rsquo;s skills.<br>
o Develop new delivery frameworks and help the team build new service offerings.<br>
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All about you<br>
<ul><li>8&ndash;12+ years using data and AI to solve complex business problems and drive measurable impact in large, regulated environments.</li><li>Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at portfolio scale.</li><li>Hands-on leadership of technology strategies in AI/ML, analytics, BI, and automation&mdash;spanning both low-code (e.g., Copilot Studio/Power Platform) and pro-code stacks.</li><li>Strong communicator&mdash;executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.</li><li>Familiarity with large datasets, ML modeling, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).</li><li>Practical understanding of evaluation and safety for LLM/ML solutions (offline/online testing, adversarial testing, guardrails, telemetry, policy enforcement).</li><li>Comfortable with analytics scripting (Python/R preferred) and data/ML platforms (e.g., Azure, Databricks/Snowflake, MLflow, feature stores, CI/CD).</li><li>Deep experience with Agile at scale and TBM/portfolio practices; adept at structuring multi-horizon investment cases and benefits realization.</li><li>Payments/financial services experience preferred (PCI, data privacy, model risk management, compliance).</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related; Master&rsquo;s preferred&mdash;or equivalent practical experience.</li></ul><p></p>
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.<p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul><p></p>
In line with Mastercard&rsquo;s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more.<p></p><p><b>
Pay Ranges</b></p>
Remote - Washington: $148,000 - $237,000 USD<p></p>
Arlington, Virginia: $170,000 - $273,000 USD<p></p>
Austin, Texas: $148,000 - $237,000 USD<p></p>
New York City, New York: $178,000 - $284,000 USD<p></p>
Purchase, New York: $170,000 - $273,000 USD<p></p>
Seattle, Washington: $170,000 - $273,000 USD<p></p><p><b>
Job Posting Window</b></p>
Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.</div>

Director, AI Strategy & Solutions Delivery

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