applied scientist ii, sponsored products and brands - advertiser guidance

content creator, owned & social channels , operations internal communications

merchandising/sales representative, seattle

ai research scientist - mllm training Jobs in Seattle

ai research scientist - mllm training

applied scientist

applied scientist ii, sponsored products and brands - advertiser guidance Jobs in Seattle

artificial intelligence researcher Jobs in Seattle

artificial intelligence researcher

clinical outcomes research coordinator Jobs in Seattle

clinical outcomes research coordinator

research scientist

University Of Washington

<div><p><b>Job Description
</b></p><p></p><p><b>Who we&rsquo;re looking for:
</b></p><p>The UW Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a <b>Research Scientist/Engineer 4 </b>with the <b>Davis Lab </b>.
</p><p></p><p>The Research Scientist/Engineer 4 will provide senior-level scientific leadership for research programs focused on fibroblast and myocyte biology as well as tissue and extracellular matrix (ECM) remodeling in the context of cardiovascular and skeletal muscle disease. This position will work closely with investigators in a highly collaborative, multidisciplinary research environment and will play a critical role in advancing high-impact basic and translational research programs. This is an excellent opportunity for an experienced scientist to contribute scientific leadership, develop independent research directions, and mentor and supervise trainees as part of a productive and innovative research team.
</p><p></p><p><b>Work schedule:
</b></p><ul><li>100% FTE
</li><li>Monday &ndash; Friday
</li><li>Day shift
</li></ul><p></p><p><b>What you&rsquo;ll contribute:
</b></p><p><i>Research Design, Execution, &amp; Analysis
</i></p><ul><li>Design and conduct complex in vivo and ex vivo experiments focused on fibroblast biology, ECM remodeling, and tissue mechanics using advanced mouse models.
</li><li>Apply histological, imaging, and molecular approaches including immunohistochemistry, second harmonic generation microscopy, and multi-omic analyses (e.g., single-cell RNA sequencing, spatial transcriptomics, proteomics).
</li><li>Analyze, interpret, and integrate large and complex biological datasets.
</li><li>Develop, optimize, and implement new experimental assays and analytical methods.
</li><li>Develop new genetic and surgical animal models, maintain and manage animal colony use within the lab, and experimental planning.
</li></ul><p></p><p><i>Project Leadership, Writing, &amp; Collaboration
</i></p><ul><li>Lead and coordinate scientific projects, including literature review, experimental strategy, data synthesis, and milestone tracking.
</li><li>Write and contribute to scientific manuscripts for publication in peer-reviewed journals.
</li><li>Assist with preparation of grant proposals, progress reports, and related funding materials.
</li><li>Collaborate with faculty investigators, postdoctoral fellows, students, and research staff to advance shared scientific goals.
</li><li>Provide guidance to trainees on experimental design, data interpretation, and scientific.
</li><li>Develop independent research areas for grant applications.
</li></ul><p></p><p><i>High-Priority Experimental Support &amp; Strategic Research
</i></p><ul><li>Conduct rapid-turnaround experiments and analyses to support manuscript revisions, grant submissions, and high-priority research initiatives.
</li><li>Apply independent judgment to adapt methodologies and devise solutions to complex or high-risk research questions.
</li></ul><p></p><p><i>Administrative, Training, &amp; Compliance Responsibilities
</i></p><ul><li>Provide advanced training and mentorship in animal procedures, surgical techniques, echocardiography, and specialized laboratory assays.
</li><li>Maintain IACUC protocols and ensure compliance with NIH, federal, state, and University regulations governing animal research.
</li><li>Assist with laboratory organization and research continuity as needed.
</li></ul><p></p><p><b>What you&rsquo;ll need:
</b></p><ul><li>Master&rsquo;s degree in a related field of Bioengineering, Pathology, Molecular Biology, Cell Biology, and four years of relevant in fibroblast and muscle biology and experience with genetic and surgical animal models of cardiovascular and/or skeletal muscle disease.
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul><p></p><p><b>Additional requirements.
</b></p><ul><li>Progressive research experience, including postdoctoral training, with demonstrated scientific experience.
</li><li>Extensive experience with genetic and surgical animal models of cardiovascular and/or skeletal muscle disease.
</li><li>Demonstrated expertise in fibroblast and muscle biology, extracellular matrix remodeling, and tissue remodeling.
</li><li>Experience with mouse genetics, histological techniques, and multi-omic data generation and analysis.
</li><li>Strong publication record in peer-reviewed scientific journals.
</li><li>Excellent written and verbal communication skills.
</li><li>Ability to lead multiple projects, manage competing priorities, and work effectively in a collaborative team environment.
</li><li>Ability to comply with NIH, federal, state, and University regulations on the ethical use of animals in research.
</li></ul><p></p><p><b>Desired qualifications:
</b></p><ul><li>Experience contributing to successful grant applications and funded research programs.
</li><li>Background in mechanobiology, tissue regeneration, or advanced imaging methodologies.
</li><li>Demonstrated ability to mentor trainees at multiple levels and foster a collaborative laboratory culture.
</li><li>Experience working across interdisciplinary academic or translational research teams.
</li></ul><p></p><p><b>What we offer:
</b></p><ul><li>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</li><li>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</li><li>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</li><li>Excellent healthcare, dental, disability, retirement, and other plan options.
</li><li>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</li><li>And much more!
</li></ul><p></p><p><b>About the Department of Laboratory Medicine &amp; Pathology:
</b></p><p>A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the <b>Department of Laboratory Medicine &amp; Pathology </b>at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.
</p><p></p><p>Please visit our website to learn more about our department.
</p><p></p><p><b>About the UW:
</b></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
</p><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$99,444.00 annual
<p><b>Pay Range Maximum:
</b></p>$164,328.00 annual
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>UAW Research
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</p></div>

Research Scientist/Engineering 4, Davis Lab

Cerebro

<div>
 <p>
  Are you ready to pioneer the future of AI? We&rsquo;re seeking a
  <strong>
   Research Scientist
  </strong>
  with expertise in training
  <strong>
   Multimodal Large Language Models (MLLMs)
  </strong>
  to join an ambitious, cutting-edge team working at the intersection of
  <strong>
   AI, deep learning, and human expression.
  </strong>
  This role offers a unique opportunity to define the next wave of AI innovation by building the
  <strong>
   first real-time human foundation model
  </strong>
  that integrates text, speech, facial expressions, and body language. If you&rsquo;re passionate about pushing research boundaries while delivering real-world applications, we&rsquo;d love to hear from you.
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  As a Research Scientist, you&rsquo;ll drive the development of advanced systems capable of
  <strong>
   understanding and generating lifelike, human-like responses
  </strong>
  in real-time. This unified model will:
 </p>
 <ul>
  <li>
   <strong>
    Understand fine-grained human signals
   </strong>
   &mdash; from a subtle change in tone to a quirked eyebrow &mdash; and infer meaning in context.
  </li>
  <li>
   <strong>
    Generate lifelike, responsive avatars
   </strong>
   whose gestures, expressions, and tone evolve frame-by-frame to deliver genuine, social, and emotionally intelligent interactions.
  </li>
 </ul>
 <p>
  This is an opportunity to tackle blank-page problems and shape foundational technology in an area where real-time, multimodal interaction is still an
  <strong>
   unsolved frontier.This Role is Perfect for You If You...
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Have a PhD
   </strong>
   (or equivalent experience) in training multimodal large language models, autoregressive architectures, or related fields, with a proven track record of publishing groundbreaking research.
  </li>
  <li>
   <strong>
    Excel at deep learning
   </strong>
   and know how to run the entire ML pipeline &mdash; from data preparation and rapid prototyping to large-scale model training, benchmarking, and evaluation.
  </li>
  <li>
   <strong>
    Thrive in ambiguity
   </strong>
   and enjoy charting your own path to solve complex, unstructured challenges.
  </li>
  <li>
   Are passionate about
   <strong>
    bridging research breakthroughs with real-world applications.
   </strong>
  </li>
  <li>
   Write
   <strong>
    clean, efficient code
   </strong>
   that scales and stands the test of time.
  </li>
  <li>
   Collaborate effectively with a diverse team of brilliant minds from different domains.
  </li>
 </ul>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Shape the future of AI:
   </strong>
   This is a rare opportunity to work on foundational technology that unites text, speech, and vision into a cohesive, real-time system &mdash; tackling problems others haven&rsquo;t solved yet.
  </li>
  <li>
   <strong>
    Be part of a world-class team:
   </strong>
   Work alongside PhDs from top institutions like MIT, UW, and Oxford, with decades of combined experience at leading companies like Apple and Meta.
  </li>
  <li>
   <strong>
    Frontier research meets real-world impact:
   </strong>
   Our team has a proven track record of advancing AI avatars and audio-visual generation, publishing at top conferences, and shipping real-time ML products used by millions.
  </li>
  <li>
   <strong>
    Collaborate in-person:
   </strong>
   Join us at our Seattle HQ, where our team works together 5 days a week to drive innovation forward.
  </li>
 </ul>
 <p>
  <strong>
   Key Details
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Location:
   </strong>
   Seattle, Washington (In-person collaboration, 5 days/week)
  </li>
  <li>
   <strong>
    Funding:
   </strong>
   $10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels from the AI industry.
  </li>
 </ul>
 <p>
  <strong>
   What We&rsquo;re Building
  </strong>
 </p>
 <p>
  We&rsquo;re creating the
  <strong>
   first human foundation model
  </strong>
  that operates across text, speech, facial expression, and body language in real time. The goal? To make AI
  <strong>
   socially and emotionally intelligent,
  </strong>
  able to interpret subtle human signals and respond in a way that feels truly human.The industry has made strides in areas like voice AI and avatar visuals, but existing solutions remain fragmented. This role offers the chance to be a
  <strong>
   trailblazer
  </strong>
  in a field where the boundaries are still being defined.
  <strong>
   How to Apply
  </strong>
 </p>
 <p>
  If this sounds like the challenge you&rsquo;ve been looking for, let&rsquo;s connect! Apply now to join a team that&rsquo;s reshaping the future of AI &mdash; one lifelike interaction at a time.
  <strong>
   Note:
  </strong>
  This posting is intentionally anonymized to respect client confidentiality. We look forward to hearing from innovative thinkers ready to make an impact.
 </p>
 <p>
  Auto
 </p>
 <p>
 </p>
</div>


AI Research Scientist - MLLM Training

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon's Worldwide Pricing &amp; Promotions organization is seeking a strong Sr. Research Scientist to help solve complex business problems involving pricing algorithms and promotional strategies at a global scale. The Sr. Research Scientist will operate on a team of applied scientists, economists, and scholars. Our team applies causal inferences, statistics, machine learning, optimization, and econometrics to drive actionable insights and to improve strategic business decision-making.<br>
<br>
This is an individual contributor role that requires collaboration across teams and functions to solve core business problems for the company around setting new pricing and promotional strategies. The work is part of significant scientific investments in promotions intelligence systems that forecast customer demand and optimize promotions strategies across different surfaces.
<br>
<br>
Key job responsibilities<br>
<ul><li>Invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives</li><li>Expertly frame the scientific approach to solve ambiguous business problems, distinguishing between those that require new solutions and those that can be addressed with existing approaches</li><li>Support go/no-go decisions, and assist leaders in making trade-offs between short- and long-term customer, business, and technology needs</li><li>Drive the team's scientific agenda by proposing new initiatives, building alignment across stakeholders, partners, and leadership</li><li>Lead the writing of internal documents or external publications when appropriate
</li><li>Define and prioritize science or engineering specifications for new approaches</li><li>Set the standard and drive the team to adopt best practices</li><li>Consistently deliver significant benefit to the business with limited guidance</li><li>Identify and mitigate technical and integration risks</li><li>Ensure accuracy in your process abstractions, models, and simulation results</li><li>Review model performance during implementation and identify opportunities for improvement</li><li>Collaborate with scientists, economists, scholars, engineers, and business stakeholders to identify problems and design solutions</li><li>Contribute to the professional development of colleagues, improving their technical knowledge and the engineering practices</li><li>Contribute to the broader internal and external scientific communities</li></ul><br>
A day in the life<br>
As a Sr. Research Scientist on the WW Pricing &amp; Promotions Science team, you are a key influencer in team strategy that impacts the business. You make insightful contributions to team roadmaps, goals, priorities, and approach. You will work with a team of scientists and economists to deliver critical solutions to complex, ambiguous problems. Your research solutions set a strong example for others. You work efficiently and routinely delivered the right things. You take a long-term view of the scientific and business objectives, product roadmap, technologies, and how they should evolve.
<br>
<br>
About the team<br>
The WW Pricing &amp; Promotions Science team is responsible for driving scientific innovation to support pricing and promotions programs across Amazon's businesses. We specialize in experimental and observational causal methods, forecasting, and optimization. We apply these tools to drive business decision making at scale, leading to launch decisions of new pricing algorithms and new promotion strategies, understanding short- and long-term value of different programs, and the prioritization of budget allocations. We also develop models to set optimal prices and promotions, and define innovative price guardrails and incentives to optimize for long-term program health.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 5+ years of quantitative field research experience</li><li>5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience</li><li>Experience investigating the feasibility of applying scientific principles and concepts to business problems and products</li><li>Experience communicating qualitative research methods and findings to non-qualitative researchers</li><li>Experience mentoring, coaching, and influencing colleagues, collaborators, and stakeholders</li><li>Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.)</li><li>Knowledge of R or Python</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience converting research studies into tangible real-world changes</li><li>Experience with discrete and continuous optimization methodologies and algorithms</li><li>Knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker</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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div><p></p>

Sr. Research Scientist, WW Pricing & Promotions Science

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><ul><li>5+ years of building models for business application experience</li>
<li>PhD, or Master's degree and 6+ years of CS, CE, ML or related field experience</li>
<li>Experience programming in Java, C++, Python or related language</li>
<li>Practical experience with LLM pre-training or post-training, and experience working with organic, synthetic, agentic, or reasoning data for LLMs</li>
<li>Published research in top conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and/or demonstrated significant industry influence in the field of AI</li>
<li>Experience using Unix/Linux</li>
<li>Experience in professional software development</li>
<li>Experience working on SOTA LLMs.</li>
<li>Multiple first-author LLM-related publications in top-tier conferences (e.g., NeurIPS, ICLR, ACL, EMNLP, NAACL)</li>
</ul></div><div>Preferred qualifications:
</div><div><div><ul><li>5+ years of experience building and deploying machine learning models or developing algorithms for business applications.</li>
<li>A strong track record of publications at top-tier, peer-reviewed conferences or journals (e.g., NeurIPS, ICML, ACL, KDD, CVPR).</li>
<li>Proven ability to transition research to production-grade, scalable systems.</li>
<li>Experience with Generative AI tools, Large Language Models (LLMs), Transformers, Reinforcement Learning, or advanced Computer Vision/NLP techniques.</li>
<li>Expertise in Python, Java, or C++, as well as experience with distributed machine learning frameworks (e.g., Spark, Hadoop</li>
</ul></div></div><div><div><b>TCS Employee Benefits Summary:</b>
</div><div><ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
<li>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</li>
</ul></div><div>#LI-RJ2
</div><div>Salary Range-$120,000-$150,000 a year
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>401448</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$150,000 a year</div></div></div></div><div></div>

Applied scientist

Uber

<div><b>About the Role</b>
<br>
<br>
The fares platform team powers the fares for all of Uber - that's all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems that are critical to Uber's success.
<br>
<br>
As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy design, optimization and defect reduction.
<br>
<br>
<b>What the Candidate Will Need / Bonus Points</b>
<br>
<br>
<b>What the Candidate Will Do:<br>
</b><br>
<br>
<ul><li>Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
</li><li>Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber's success.
</li><li>Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams.
</li><li>Build ML models to solve complex problems and create AI agents to automate data science workflows.
</li>Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.<br>
<li>
</li></ul><br>
<br>
<b>Basic Qualifications:</b><br>
<br>
<br>
<ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.
</li><li>Minimum 5 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
</li><li>Experience with experiment design, exploratory data analysis, causal inference and model development.
</li>Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).<br>
<li>
</li></ul><br>
<br>
<b>Preferred Qualifications:
</b><br>
<ul><li>Minimum 7 years of industry experience as an Applied or Data Scientist or equivalent.
</li><li>Experience using statistical methodologies in platform, marketplace or consumer domains.
</li><li>Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
</li>Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership.<br>
<li>
</li></ul><br>
<br>
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Scientist, Fares

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
<br>
<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
<br>
<br>
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!<br>
<br>
Key job responsibilities<br>
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include:<br>
<br>
<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
<br>
About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in machine learning, data mining, information retrieval, statistics or natural language processing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Palo Alto - 192,200.00 - 260,000.00 USD annually<br>
USA, NY, New York - 183,800.00 - 248,700.00 USD annually<br>
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

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

ByteDance

<b>Location:</b><br>
Seattle
<br><br>
<b>Team:</b><br>
Technology
<br><br>
<b>Employment Type:</b><br>
Intern
<br><br>
<b>Job Code:</b><br>
A227501A
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Responsibilities
<br><br>
About the team
<br>The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.
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We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
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PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
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Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
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Responsibilities
<br><ul>
<li>As an Infrastructure Intern, you may work on one or more of the following areas:</li>
<li>Design and optimize large-scale distributed training systems (e.g., data/model/pipeline parallelism, memory efficiency, fault tolerance)</li>
<li>Contribute to reinforcement learning training frameworks and large-scale post-training systems</li>
<li>Improve inference performance, latency, and throughput for foundation models</li>
<li>Develop compiler or runtime optimizations for heterogeneous hardware (GPU/accelerator)</li>
<li>Work on system-level performance analysis, profiling, and bottleneck diagnosis</li>
<li>Build tooling and automation to improve developer productivity and system reliability</li>
</ul>
Qualifications
<br><br>
<b>Minimum Qualifications:</b><br>
<ul>
<li>Currently pursuing a PhD degree in Computer Science, Electrical Engineering, or related technical fields</li>
<li>Strong programming skills in Python and/or C++</li>
<li>Solid understanding of systems, distributed computing, machine learning systems, or performance optimization</li>
<li>Experience with one or more of the following: Distributed training frameworks (e.g., PyTorch FSDP, Megatron-style parallelism); Reinforcement learning training systems; GPU programming (CUDA, Triton) or compiler technologies; Large-scale inference optimization; Performance profiling and systems debugging</li>
<li>Strong problem-solving skills and the ability to work in fast-paced research-driven environments</li>
</ul>
<b>Preferred Qualifications:</b><br>
<ul>
<li>Experience working on large-scale ML systems or infrastructure projects</li>
<li>Contributions to open-source ML systems or performance tooling</li>
<li>Publications in ML systems, distributed systems, or related areas (a plus but not required)</li>
</ul>
Job Information
<br><br>
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
<br><br>
The hourly rate range for this position in the selected city is $57- $57.
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Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
<br><br>
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
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<b>For Los Angeles County (unincorporated) Candidates:</b><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
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1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
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2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
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3. Exercising sound judgment.
<br><br>
About Doubao (Seed)
<br><br>
Founded in 2023, the ByteDance Doubao (Seed) Team, is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting-edge research and drive technological and societal advancements.
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With a strong commitment to AI, our research areas span deep learning, reinforcement learning, Language, Vision, Audio, AI Infra and AI Safety. Our team has labs and research positions across China, Singapore, and the US.
<br><br>
Why Join ByteDance
<br><br>
Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
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As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
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Diversity & Inclusion
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ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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Reasonable Accommodation
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ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

Student Researcher (AI Foundation Models Infrastructure - Seed Infra) - 2026 Start (PhD)

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