data scientist, algorithms - growth Jobs in Seattle United States

data scientist, algorithms - growth

scientist i - alzheimer's disease Jobs in Seattle United States

scientist i - alzheimer's disease

scientist, predictive biology and ai Jobs in Seattle United States

scientist, predictive biology and ai

senior applied scientist, creators Jobs in Seattle United States

senior applied scientist, creators

senior delivery consultant- genai/ml, aws, industries Jobs in Seattle United States

senior delivery consultant- genai/ml, aws, industries

scientist predictive biology and ai

Bristol Myers Squibb

<div>Working with Us 
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. 
 
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . 
 
Scientist, Predictive Biology and AI 
 
LOCATION
 
 
Seattle, Brisbane CA, San Diego CA, Cambridge MA, Princeton NJ
 
 
Overview
 
 
The Predictive Biology and AI (PBAI) team within BMS Research develops and applies cutting-edge methods to address patient needs and answer fundamental questions in Oncology, Neuroscience, and other application areas. We work closely with our wetlab partners to both test and deliver our predictions into the pipeline as well as integrate the data they generate into our models. We seek a collaborative AI expert possessing skills spanning machine learning and statistics as well as a passion for addressing unmet patient needs. The successful candidate will thoughtfully evaluate and adapt state-of-the-art AI models and techniques to challenges in cell engineering and target discovery. The role offers the opportunity to impact directly the delivery of truly transformational and life-changing therapies in key diseases of unmet medical need. 
 
Responsibilities
<ul><li>Apply, adapt, and in some cases create multi-modal foundation models such as large language models (LLMs), diffusion models, and encoder architectures to answer biological domain-specific questions</li><li>
Address real-world biological modeling challenges such as data sparsity, class imbalance, noise, experimental bias, and heterogeneity of effects</li><li>
Thoughtful model evaluation that incorporates appropriate benchmarks, statistical tests, and problem understanding to support technical and business decisions</li><li>
Work in close collaboration with partners across the organization including wet-lab scientists, Research IT, and other computational scientists to broaden the impact of AI developments</li><li>
Maintain and share up-to-date knowledge of modern advances in the field, including presenting work at public conferences</li></ul>
Basic Qualifications
<ul><li>Bachelor's Degree 5+ years of academic / industry experience</li><li>
Or Master's Degree 3+ years of academic / industry experience</li><li>
Or PhD No experience required</li></ul>
Preferred Qualifications
<ul><li>A Ph.D. with 0+ years industry research experience or an M.S. with 3+ years industry research experience in computer science, statistics, computational biology, or another quantitative field</li><li>
Expert-level understanding of and experience using deep learning tools and approaches (transformer-based encoders/decoders, LLMs, reinforcement learning, etc.) as demonstrated through publications or projects</li><li>
Hands-on experience leading the building and scaling of deep learning training pipelines on multi-GPU computational infrastructure using PyTorch, Huggingface, and/or other tools</li><li>
Knowledge of or the ability to learn biological concepts and data types, including the ability to work and communicate effectively with biologists</li><li>
Excellent verbal and written communication skills. Fluent verbal and written English language skills prerequisite</li><li>
Experience building agentic workflows is a plus</li><li>
Prior experience in pharmaceutical application areas is a plus</li></ul>
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
 
 
Compensation Overview: 
 
Brisbane - CA - US: $141,150 - $171,042 
Cambridge Crossing: $141,150 - $171,042
 
Princeton - NJ - US: $122,740 - $148,732
 
San Diego - CA - US: $135,010 - $163,605 
Seattle - WA: $135,010 - $163,605 
 
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
 
 
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
 
 
Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
 
 
Uniquely Interesting Work, Life-changing Careers 
With a single vision as inspiring as Transforming patients' lives through science&trade; , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. 
 
On-site Protocol 
 
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
 
 
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
 
 
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
 
 
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
 
 
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. 
 
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
 
 
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.</div>

Scientist, Predictive Biology and AI

<div>Description
Senior Scientist &ndash; Structured Decision-Making (SDM) Quantitative Fish Biologist
Location: San Francisco, Sacramento, or Remote 
Team: Fish and Aquatic Science and Technology (FAST) at ICF
About the Opportunity
ICF is growing! We&rsquo;re looking for a Senior Scientist with expertise in structured decision-making, quantitative fisheries biology, and advanced statistical modeling. Join our team to lead innovative research, mentor talented colleagues, and make a real impact on fisheries science in the Northern California and the Pacific Northwest.
What You&rsquo;ll Do
Lead Research &amp; Analysis: Design studies, analyze complex biological data, and develop advanced models for a variety of fish species.
Drive Innovation: Identify and pursue new research opportunities, focusing on applied quantitative modeling and structured decision-making.
Mentor &amp; Collaborate: Guide junior staff, facilitate decision-making processes, and work closely with the FAST team.
Communicate &amp; Represent: Present findings at scientific conferences, publish peer-reviewed papers, and contribute to regulatory documents.
Project Leadership: Manage multiple projects, serve as Project/Task Lead, and maintain strong client relationships.
Proposal Development: Write proposals, develop project scopes, and manage budgets for new research initiatives.
Field &amp; Data Work: Balance time between data analysis and fieldwork in streams or on boats as needed.
Basic Qualifications<ul><li>
Bachelor&rsquo;s Degree</li><li>
8+ years of experience in fisheries biology, with a proven record of research funding and project leadership</li></ul>
Additional Skills/Experience<ul><li>
Advanced Degree in fisheries, biology, or a related discipline preferred</li><li>
Expertise in statistical modeling, machine learning, and simulation using R and Python</li><li>
Demonstrated ability to manage and analyze large datasets, create visualizations, and communicate results effectively</li><li>
Strong leadership skills, including mentoring junior staff and fostering collaboration</li><li>
Excellent organizational skills; adept at managing multiple projects with competing deadlines</li><li>
Superior verbal and written communication abilities, with a talent for presenting complex information to diverse audiences</li><li>
Recognized professional standing and network within fisheries science</li><li>
Commitment to high-quality work, professionalism, and a positive, collegial attitude</li></ul>
Why Join ICF?<ul><li>
Make a real impact on fisheries science and resource management.</li><li>
Collaborate with leading experts and contribute to meaningful environmental solutions.</li><li>
Enjoy opportunities for professional growth, leadership, and recognition in your field.</li></ul>
Working at ICF
ICF is a global advisory and technology services provider, but we&rsquo;re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.<div>
We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records. 
Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</div><div>
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.</div><div> 
Candidate AI Usage Policy</div><div><div>
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.</div><div>
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.</div></div> 
Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.
The pay range for this position based on full-time employment is:
$81,094.00 - $137,860.00
Washington Remote Office (WA99)</div>

Senior Structured Decision-Making Expert / Biometrician

Seattle Children's

<div>RESEARCH SCIENTIST III &ndash; McDermott Lab
POSITION SUMMARY:
Developmental and RNA biology of protozoan pathogens
We are seeking a research scientist to join our projects on the molecular and developmental biology of protozoan pathogens, and on the nature of human immunity to these pathogens. The project uses a combination of complementary genetic, molecular, immunological, and informatic methods, and the scientist will have direct responsibility for research activities in the lab and will also collaborate with the principal investigator to write manuscripts/grant proposals. The successful candidate will have a strong interest in cellular and molecular biology and immunology, especially with respect to protozoan pathogens, and expertise in basic cell, molecular biological, and immunological techniques. Strong written and verbal communication skills, the abilities to establish clear goals, organize and prioritize research, work with a diverse and collaborative team, and thrive within a multi-disciplinary environment are critical.
Interested applicants should provide a cover letter detailing their scientific achievements, goals, and a description of their interest, in addition to a curriculum vitae that indicates their education, experience, and qualifications. A Ph.D. or equivalent biomedical degree in cell and molecular biology and/or microbiology, experience in molecular analyses and a strong understanding of cellular processes are required.
The research is conducted in the highly interactive Seattle research environment that includes the closely located University of Washington School of Medicine, Seattle Children&rsquo;s Research Institute and Fred Hutchinson Cancer Research Center, and is carried out in collaboration with other labs both in Seattle and nationwide.
Please apply via the Institute&rsquo;s career webpage (Careers - Seattle Children's) or email suzanne.mcdermott@seattlechildrens.org. 
Required Education and Experience 
PhD Degree level in applicable science field/related field OR. Master's Degree in applicable science field/ related field plus minimum three (3) years of related experience OR. Bachelor's Degree or higher in applicable science field / related field plus minimum five (5) years of related experience with a robust publication record. Related work experience varies by lab / position, as it relates to the research projects and research field assigned to this position. 
 
Required Credentials
 
N/A. 
 
Preferred 
PhD in relevant specialty area or closely related field. Substantial prior experience in relevant area of research.
Compensation Range
$80,715.00 - $121,073.00 per year
Salary Information
This compensation range was calculated based on full-time employment (2080 hours worked per calendar year). Offers are determined by multiple factors including equity, skills, experience, and expertise, and may vary within the range provided.<div>
Disclaimer for Out of State Applicants
This compensation range is specific to Seattle, positions located outside of Seattle may be compensated differently depending on various factors.<div>
Benefits Information
Seattle Children&rsquo;s offers a generous benefit package, including medical, dental, and vision plans, 403(b), life insurance, paid time off, tuition reimbursement, and more. Additional details on our benefits can be found on our website www.seattlechildrens.org/careers/benefits.<div>
About Us
Hope. Care. Cure. These three simple words capture what we do at Seattle Children&rsquo;s &ndash; to help every child live the healthiest and most fulfilling life possible. Are you ready to engage with a mission-driven organization that is life-changing to many, and touches the hearts of all? #HOPECARECURE
As one of the nation's top five pediatric research centers, Seattle Children's Research Institute is dedicated to providing hope, care, and cures to help every child live the healthiest and most fulfilling life possible.
Our investigators are involved in hundreds of projects that cover every phase of research, from studying how diseases work to improving investigational therapies. They have pioneered groundbreaking cystic fibrosis treatments and cutting-edge cancer therapies that help a child's immune system defeat cancer, and made other major contributions to pediatric medicine.
Researchers work in close collaboration with one another, their colleagues at partner institutions including the University of Washington and Fred Hutch and our healthcare providers at Seattle Children's Hospital, one of U.S. News &amp; World Report&rsquo;s top children's hospitals. This collaboration is one of our key strengths, allowing our faculty to draw on a variety of disciplines and techniques as they pursue solutions to some of medicine's most complex problems.
We are committed to not only treating disease but to eliminating it. Help us achieve our vision of being a worldwide leader in pediatric research aimed to improve the health and well-being of children. If you are interested in a challenging career aimed at groundbreaking research, Seattle Children's Research Institute is the place for you. 
Our Commitment
Seattle Children&rsquo;s welcomes people of all experiences, backgrounds, and thoughts as this is what drives our spirit of inquiry and allows us to better connect with our patients and families. Our organization recruits, employs, trains, compensates, and promotes based on merit without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
The people who work at Seattle Children&rsquo;s are members of a community that seeks to respect and celebrate all the qualities that make each of us unique. Each of us is empowered to be ourselves.
Seattle Children&rsquo;s is proud to be an Equal Opportunity Workplace and Affirmative Action Employer.</div></div></div></div>

Research Scientist III (.5FTE) - McDermott Lab

ALLEN INSTITUTE

<div>Scientist I &ndash; Human Cell Types - Alzheimer's Disease
The mission of the Allen Institute is to understand the principles that govern life, and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world. The mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory.
The Seattle Alzheimer&rsquo;s Disease Brain Cell Atlas (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimer&rsquo;s disease (AD). Leveraging advances in quantitative neuropathology and next-generation single cell molecular profiling technologies we are generating large-scale data sets from well-characterized donors that span the spectrum of AD pathology to comprehensively map human brain cell types across aging and disease. These data along with tools for their use are made freely and publicly available. We are seeking a highly motivated Scientist to contribute to this effort by designing and executing experiments at the interface of neuroanatomy, single-cell genomics, and histology. The Scientist will generate precisely dissected, high-quality human brain tissue samples, optimize and validate molecular and single-cell assays, and execute experiments (e.g., in situ hybridization, immunostaining) to validate computational findings. Working closely with experts in neuropathology, spatial transcriptomics, and computational analysis, the Scientist will help advance high-resolution molecular atlases of the human brain in health and disease. The ideal candidate will have a strong foundation in molecular neuroscience, experience with single-cell transcriptomic and/or epigenomic assays, and a working knowledge of Alzheimer&rsquo;s disease biology. Familiarity with human neuroanatomy and enthusiasm to deepen anatomical expertise are also essential.
At the Allen Institute, we believe that science is for everyone &ndash; and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.
We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
<ul><li>Contribute to the design and execution of large-scale single-cell genomics experiments
</li><li>Participate in the development and testing of new single-cell methods and protocols</li>
<li>Optimize protocols for challenging samples, troubleshoot workflows for variable tissue quality, and evaluate tissue and sequencing library quality using standard metrics
</li><li>Conduct basic analysis of single-cell genomics data, including benchmarking of new methods
</li><li>Design and execute experiments to validate and extend computational results and generate novel biological insights</li>
<li>Present progress in group meetings and at scientific conferences, and contribute to peer-reviewed publications</li>
<li>Assist in management of tissue acquisition and sample tracking
</li><li>Maintain meticulous experimental records to ensure reproducibility across tissue donors and adherence to best practices for tissue handling, biosafety, and data integrity</li>
<li>Actively contribute to a collaborative environment focused on scientific rigor and methodological innovation</li>
</ul>
*Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management&rsquo;s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.*
Required Education and Experience
<ul><li>PhD degree in Neuroscience, Molecular Biology, Genomics, or related field, or equivalent combination of degree and experience</li>
<li>Demonstrated experience conducting independent experimental research and interpreting complex biological data</li>
<li>Broad knowledge of and experience with single-cell genomics platforms</li>
</ul>
Preferred Education and Experience
<ul><li>Proficiency in independently conducting single-cell genomics assays</li>
<li>Hands-on experience with human postmortem or surgical brain tissue, including dissection, nuclei isolation, and nucleic acid extraction
</li><li>Proven ability to troubleshoot complex molecular biology protocols and optimize workflows for variable sample quality</li>
<li>Basic experience or familiarity with multicolor flow cytometry</li>
<li>Basic familiarity with human neuroanatomy and willingness to expand anatomical knowledge</li>
<li>Proficiency in tissue sectioning, histological stains, and/or immunofluorescence panel optimization
</li><li>Ability to capture and analyze high-quality images using confocal or fluorescence microscopy and to quantify results with ImageJ/Fiji, QuPath, or similar applications</li>
<li>Experience with Python and/or R for basic data analysis and visualization and an understanding of core single-cell data analysis concepts (e.g., QC, clustering, marker identification)</li>
<li>Working knowledge of AD pathology and molecular mechanisms of disease</li>
<li>Excellent communication skills and comfort working in large, multidisciplinary teams to pursue collaborative research goals
</li><li>Strong quantitative and organizational skills, with attention to data quality and integrity</li>
</ul>
Work Environment
<ul><li>Laboratory environment - possible chemical, biological, or other hazardous substances exposure
</li><li>Possible exposure to BioSafety Level 2 organisms, such as recombinant viruses</li>
<li>This may include wearing personnel protective equipment (PPE)</li>
<li>Working with dry ice or liquid nitrogen</li>
<li>Sample handling of the following material, including but not limited to: human brain tissues, non-human primate brain tissues, human whole blood, PBMCs, plasma, nucleic acids, and cells</li>
</ul>
Physical Demands
<ul><li>Occasional lifting up to 30 pounds</li>
<li>Fine motor movements in fingers/hands to operate computers and other office equipment, repetitive motion with lab equipment</li>
<li>Stooping, bending, crouching
</li><li>Reaching or climbing ladders
</li></ul>Position Type/Expected Hours of Work
<ul><li>This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis.
</li></ul>Additional Comments
<ul><li>**Please note, this opportunity offers relocation assistance**</li>
<li>**Please note, this opportunity may offer work visa sponsorship**</li>
</ul>
Annualized Salary Range
$86,150 - $106,650*
<ul><li>Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable.</li></ul>
Benefits
Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute&rsquo;s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute&rsquo;s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute&rsquo;s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.
It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities</div>

Scientist I - Alzheimer's Disease

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Generative AI Innovation Center (GenAIIC) at AWS helps AWS customers accelerate the use of generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers and partners to build bespoke solutions that harness the power of generative AI. The team is looking for an experienced and talented Principal Data Science Manager who brings a strong blend of experience in machine learning, generative and agentic AI, effective organizational and interpersonal skills, and experience building scalable AI/ML solutions using cloud computing.
 
 
The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical &ldquo;face&rdquo; of GenAIIC with our customers. You will be able to drive discussions with senior technical and business leaders within customers and partners. You will possess technical background that enables you to interact with and give guidance to data/research/applied scientists and software engineers on the team. The ideal candidate will also have demonstrated ability to roll up their sleeves to build agentic AI solutions, think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. 
 
 
 
Key job responsibilities 
<ul><li>Collaborate with ML scientists, engineers and architects to research, design, and develop Generative and Agentic AI solutions to address real-world challenges</li><li>Interact with customers to understand business problems, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production</li><li>People management responsibilities, to include leading teams driving incubation efforts in areas such as Responsible AI, Physical AI and Agentic AI</li><li>Create and deliver best practice recommendations, blog posts, and presentations adapted to technical, business, and executive stakeholders</li><li>Provide customer and market feedback to Product and Engineering teams to help define product direction</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>5+ years of people management experience</li><li>Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives</li><li>Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track</li><li>10+ years as a scientist or science manager</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>10+ years of practical work applying ML to solve complex problems for large-scale applications experience</li><li>Experience programming in Java, C++, Python or related language</li><li>5+ years of hands-on work in big data, machine learning and natural language processing</li><li>Experience with AWS technologies for machine learning like SageMaker, Bedrock, S3, and EC2</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $208,300/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Manager, Data Science, Generative AI Innovation Center

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale. 
 
We're seeking an exceptional Applied Scientist to push the boundaries of large-scale ML systems in a business-critical domain. This role presents unique opportunities to 
&bull; Architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds of millions of products &bull; Pioneer novel applications of multimodal LLMs to analyze product attributes, images, and seller metadata for intelligent fee determination &bull; Build production-scale generative AI systems for fee integrity and seller communications &bull; Advance the field of ML through novel research in high-stakes, large-scale transaction processing &bull; Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes &bull; Collaborate with world-class scientists and engineers to solve complex problems at the intersection of deep learning, economics, and large business systems. 
 
If you're passionate about advancing the state-of-the-art in applied ML/AI while tackling challenging problems at global scale, we want you on our team! 
 
Key job responsibilities 
Responsibilities: 
. Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages, policy and requirements. 
<ul><li>Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers.</li><li>Develop large scale classification and prediction models using the rich features of text, image and customer interactions and state-of-the-art techniques.</li><li>Research and implement novel machine learning, statistical and econometrics approaches.</li><li>Write high quality code and implement scalable models within the production systems.</li><li>Stay up to date with relevant scientific publications.</li><li>Collaborate with business and software teams both within and outside of the fees organization.</li></ul> 
About the team 
The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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, Seller Fees Science

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will be pivotal in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.</li><li>Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.</li><li>Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.</li><li>Contribute to the enhancement of team&rsquo;s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.</li></ul> 
A day in the life 
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. 
 
About the team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li><li>Experience developing and deploying models in real-world production environments.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.</li><li>Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.</li><li>Deep understanding of multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF).</li><li>Experience with online experimentation, A/B testing frameworks, and metrics design for advertising or e-commerce.</li><li>Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.</li><li>Experience in computational advertising, including familiarity with auction theory, ad economics, and advertiser performance metrics.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Sr. Applied Scientist, Sponsored Product Off-Search

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