aiml - machine learning researcher, mlr Jobs in Seattle United States

aiml - machine learning researcher, mlr

aiml - principal ml engineer/scientist, image/video generation and multimodal foundation models Jobs in Seattle United States

aiml - principal ml engineer/scientist, image/video generation and multimodal foundation models

applied machine learning researcher - multimodal foundation models Jobs in Seattle United States

applied machine learning researcher - multimodal foundation models

software engineer, machine learning (all levels) Jobs in Seattle United States

software engineer, machine learning (all levels)

applied machine learning researcher multimodal foundation models

Apple

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products &amp; experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop state of the art solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for a machine learning researcher to work on the field of Generative AI and multimodal foundation models. Our team has an established track record of shipping features that leverage multiple sensors, such as FaceID, RoomPlan and hand tracking in VisionPro, as well as a strong research presence in the multimodal AI community. Our publications span multimodal pre-training, vision-language models, video-language models, and multimodal alignment. We are focused on building experiences that demonstrate the power of our sensing hardware as well as large foundation models. 
 
Description 
 
This position requires a highly motivated person who wants to help us bridge the gap between research advances and practical applications in generative AI and multimodal foundation models. You will be responsible for evaluating and adapting emerging research, conducting applied research experiments, and working with engineering teams to transform promising approaches into robust solutions, taking into account future hardware design and product needs. In addition, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products. 
 
Minimum Qualifications 
<ul><li>
Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision, language, video, etc.)</li><li>
Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX</li><li>
Experience with rapid prototyping, reproduction, and validation of research ideas</li><li>
Ability to work in a collaborative environment</li><li>
Ability to communicate the results of analyses in a clear and effective manner</li><li>
BS and a minimum of 3 years relevant industry experience.</li></ul> 

Preferred Qualifications 
<ul><li>
Master's or PhD, or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field.</li><li>
Track record of translating research into practical applications either through published work or industry experience.</li><li>
Deep expertise in multimodal foundation models, with a focus on practical applications.</li><li>
Strong applied research experience in at least one major area of model development (data curation, pre-training, fine-tuning, alignment, or evaluation), particularly as it applies to multimodal systems.</li><li>
Experience with large-scale training pipelines, including working with large datasets and scaling models across distributed systems.</li><li>
Experience bridging research ideas with production constraints.</li></ul> 

Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Submit Resume</div>

Applied Machine Learning Researcher - Multimodal Foundation Models

<div>We are hiring an area lead with strong technical background in Image/Video/3D generation and Multimodal Foundation Models. You will play a critical role in driving the technical directions and building multimodal foundation models for image/video/3D generation, editing, animation and many more. As a member of the team, you will have the opportunity to drive fundamental capabilities, lead teams to work on ambitious projects and collaborate broadly across Apple with world-class engineers and researchers to advance our products and delight millions of users. 
 
Description 
 
We are a fast-paced group focusing on model, data and applied research on vision and multimodal foundation models. We are looking for technical leads and managers who have: * Strong technical background and hand-on experiences in machine learning, computer vision and foundation models * 5+ years of experience in managing or tech lead big teams of ML engineers, successfully driving team&rsquo;s mission, execution and growth * 5+ years of experience in driving complex projects and shipping products * Strong communication skills and collaborating with x-functional teams In this role, you&rsquo;ll have the opportunity to drive roadmaps, propose your own research plan to advance Image/Video/3D generation models and technologies. You&rsquo;ll provide technical mentorship and guidance to the team and drive execution. You will have the opportunity to collaborate with broader teams across Apple. 
 
Minimum Qualifications 
<ul><li>
PhD, MS or equivalent experience</li><li>
Hands on experience in building Image/Video/3D generation and multimodal foundation models</li><li>
5+ years of experience in managing or leading 20+ engineer teams</li><li>
Excellent communication and interpersonal skills</li><li>
Excellent understanding of an ML-based product lifecycle.</li><li>
Hands-on experience in data mining and data curation</li><li>
Proficiency in one of following languages: Python, Go, Java, C++</li></ul> 

Preferred Qualifications 
<ul><li>
Strong experience leading and/or collaborating with a breadth of product areas simultaneously</li><li>
Passion for product and user experience</li><li>
Hands-on experience delivering large-scale products or platforms, leveraging cross-functional partnerships to drive outcomes across multiple organizations</li><li>
Strong experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.</li><li>
Strong history of delivering innovation</li><li>
Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making</li><li>
Experience with VP-level presentations and reporting</li></ul> 

Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $201,300 and $367,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Submit Resume</div>

AIML - Principal ML Engineer/Scientist, Image/Video Generation and Multimodal Foundation Models

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through 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. 
 
We are looking for a Software Development Engineer II who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of ad serving on Amazon search. You will build services to handle billions of requests per day, while maintaining response latency in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would ensure relevant ads are served to Amazon's customers. You will directly impact our customers&rsquo; shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to innovations in product search, information retrieval, natural language processing (NLP), LLM training, deep learning, and image processing. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior engineers and guiding them to deliver high impacting products and services for Amazon customers and sellers. 
 
 
 
Key job responsibilities 
Job Responsibilities:
 
 
<ul><li>Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.</li><li>Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.</li><li>Work closely with applied scientists to optimize the performance of machine-learning models, improve the team&rsquo;s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience building complex software systems that have been successfully delivered to customers</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Experiences with LLM, prompt engineering</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 $129,300/year in our lowest geographic market up to $223,600/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>

Software Development Engineer II, Sponsored Products Sourcing Delivery

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
About Sponsored Products and Brands 
 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through 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. 
 
Key job responsibilities 
As a Software Development Engineer in Machine Learning, you will:
 
<ul><li>Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.</li><li>Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.</li><li>Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.</li></ul> 
About the team 
SPB Ad Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are looking for a talented Software Engineer with a strong background in machine learning engineering to join our team and help us grow the business. In this role, you will partner with a team of engineers and scientists to build advanced machine learning models and infrastructure, from training to inference, including emerging LLM-based systems, that deliver highly relevant ads to shoppers across all Amazon platforms and surfaces worldwide.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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 $151,300/year in our lowest geographic market up to $261,500/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. Software Dev Engineer, Sponsored Products and Brands Ads Response Prediction

Uber

<div>About the Role
 
 
The Growth &amp; Marketing organization sits at the intersection of infrastructure, intelligence, and user engagement-building platforms that power over 10 billion personalized and timely communications each month across Uber's global user base. We solve the critical challenge of moving beyond &quot;one-size-fits-all&quot; marketing by generating billions of personalized messages each month, covering key moments in the user journey across all of Uber's lines of business.
 
 
In this role, you'll work on core backend services that power personalized recommendations across surfaces like Uber Eats, Rides, and more for millions of customers. You'll collaborate closely with applied science, product and marketing partners to build reliable, intelligent systems that maximize engagement-ensuring Uber reaches the right user, at the right time, with the right message.
 
 
What You Will Do
 
<ul><li>Design, build, and operate scalable backend services for large-scale recommendation systems, including candidate generation, real-time content ranking and guardrailing.
</li><li>Partner with Applied Scientists to productionize and iterate on ML models that improve the relevance and quality of personalized content for millions of users.
</li><li>Collaborate closely with Product and Marketing teams to ship features that have a direct impact on user engagement and business growth.
</li><li>Write clean, maintainable code and participate in design reviews, code reviews, and incident responses
</li></ul>- Basic Qualifications -
 
<ul><li>3+ years of experience in backend or platform software engineering.
</li><li>Proficiency in at least one modern backend language (e.g., Go, Java).
</li><li>Strong grasp of computer science fundamentals (data structures, algorithms, OOP).
</li><li>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
</li></ul>- Preferred Qualifications -
 
<ul><li>Experience designing or operating large-scale distributed systems.
</li><li>Experience with building or working on recommendation systems or personalization
</li><li>Familiarity with machine learning lifecycle, including feature engineering, A/B testing and deploying models to production.
</li><li>Experience with real-time data processing and event-driven architectures.
</li>Excellent debugging, problem-solving, and performance tuning skills. 
<li>
</li></ul> 
 
For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Software Engineer II - Personalization (Growth & Marketing)

MCG Health

<div><div>At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.</div>
MCG develops evidence based guidelines that help patients get the right care in a variety of healthcare settings. The data science team at MCG combines machine learning with the expert knowledge of our guidelines to increase the efficiency and accuracy of our users' documentation workflows.

As Principal Data Scientist you will serve as the technical leader for our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will bring experience with best practice and lead brainstorming, technical design, prioritization of experiments, and managing dependencies. You will keep abreast of the state of the art in LLMs while guiding the team's research of novel techniques to solve issues unique to our application.

You Will:
<ul>
<li>Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve</li>
<li>Lead and establish best practices for various research activities including data collection/annotation, literature research, experimentation, and evaluation</li>
<li>Provide technical and project leadership for other Data Scientists</li>
<li>Create and test novel LLM based systems</li>
<li>Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques</li>
</ul>
Our Tech Stack:
<ul>
<li>Primarily Python jobs and applications
</li><li>OpenAI and other proprietary LLM APIs</li>
<li>AzureML for Pytorch training</li>
<li>Kubernetes via AKS or EKS for compute (with support from infra team)</li>
<li>Databricks for data lake</li>
<li>Flyte for orchestration</li>
</ul>
What We're Looking For:
<ul>
<li>8 years of experience in Data Science or Machine Learning Engineering
</li><li>Expert level Python: able to write reliable, extensible code
</li><li>Demonstrated experience translating high level requirements into models in production
</li><li>Deep experience with Natural Language Processing (NLP)</li>
<li>Knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks
</li><li>Experience using pretrained LLM's for zero or few-shot learning tasks
</li><li>Experience generating visualizations for evaluation of complex systems
</li><li>Scientific mindset and ability to run experiments to guide model selection and hyperparameter search</li>
</ul>
Preferred Qualifications:
<ul>
<li>Good written communication skills
</li><li>Experience putting LLM based services into production</li>
<li>Experience working with clinical data</li>
<li>Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)</li>
</ul>
Pay Range: $183,600&ndash; $257,000 yearly

Other compensation: Bonus Eligible

Perks &amp; Benefits:

 Remote work

 Medical, dental, vision, life, and disability insurance

 401K retirement plan; flexible spending and health savings account

&#65039; 15 days of paid time off + additional front-loaded personal days

&#65039; 14 company-recognized holidays + paid volunteer days

 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave

 LGBTQ+ Health Services

 Pet insurance

 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.

MCG Health is a Seattle, Washington-based company and is considering remote candidates with a preference for those located in Seattle.<div>
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.</div></div>

Principal Data Scientist

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows.
 
 
You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers&mdash;delivering customer-facing products that directly help them create, optimize, and grow their campaigns.
 
 
Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. 
 
Key job responsibilities 
<ul><li>Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance.</li><li>Design and build agents to guide advertisers in conversational and non-conversational experience.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).</li><li>Curate datasets and tools for MCP.
</li><li>Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
 
 
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 Advertiser Guidance team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.
 
 
Our vision is to build a highly personalized, context-aware agentic advertiser guidance system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader">
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>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li></ul> 
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 $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, SPB Advertiser Guidance

Explore 149+ Applied machine learning researcher multimodal foundation models in Seattle United States this November. Find roles across top companies and apply now to boost your career.