AI Resume Builder

JOIN NOW Post Job

Live · 11,274 open AI roles

AI Jobs

High-signal AI engineering roles, refreshed daily across infra, agents, ML, and product teams.

Updated daily Verified employers Remote · USA · EMEA

Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for ...

Fulltime Ai Robotics

$171k - $223k · Senior Fully remote

We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for ...

Fulltime Ai Robotics

$171k - $223k · Senior Fully remote

We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for ...

Fulltime Ai Robotics

$171k - $223k · Senior Fully remote

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industri...

Fulltime Ai Machine Learning

$139k - $188k · Senior Fully remote

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industri...

Fulltime Ai Machine Learning

$166k - $197k · Senior Fully remote

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industri...

Fulltime Ai Machine Learning

$197k - $267k · Senior Fully remote

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industri...

Fulltime Ai Machine Learning

$182k - $216k · Senior Fully remote

Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industri...

Fulltime Ai Machine Learning

$167k - $226k · Senior Fully remote

Nous accompagnons l'un des leaders européens du conseil dans le renforcement de sa Business Unit Intelligence Artific...

Fulltime Ai Ai Engineer

Fully remote

Tiger Analytics is looking for experienced Machine Learning Engineers to join our fast-growing advanced analytics con...

Fulltime Machine Learning Data Science Mlops

$123k · Senior Fully remote

du poste Rejoignez une équipe MLOps au sein d’un grand groupe, pour accélérer l’industrialisation de la data science ...

Machine Learning Data Science Mlops Ai

Fully remote

We're looking for a Data Scientist to design, build, and deploy production-ready statistical and machine learning mod...

Contract Machine Learning Data Science Ai

Fully remote

Data Scientist | Outside IR35 | 6 Months | £400 - £450 | You’ll be joining a multidisciplinary team made up of data s...

Contract Machine Learning Data Science Ai

Fully remote

We are looking for a Senior Machine Learning Engineer to join the AI Platform Team at Smartly! Our team works on help...

Ai Machine Learning

Fully remote

Senior AI Full Stack Engineer will design, build, and ship production-grade AI-powered applications that sit at the i...

Fulltime Remote Ai Data Science

Fully remote

As Alinia’s Machine Learning Engineer, you will be responsible for building and scaling the ML infrastructure that po...

Ai Machine Learning

Fully remote

Descrizione del lavoro Stiamo cercando uno specialista in machine learning innovativo e analitico per inserimento pre...

Machine Learning Ai

Fully remote

Als AI Engineer ben jij de technische kracht die AI- en ML-modellen van ontwikkeling naar productie brengt. Jij slaat...

Ai Ai Engineer Data Science

Fully remote

In a nutshell You’ll work on building the tools and infrastructure to help our Machine Learning Engineers build and p...

Machine Learning Ai

Fully remote

Senior Data Scientist Secteur : Distribution Multimarques CDI – Client Final Kaino, cabinet de recrutement spécialisé...

Data Science Ai

Fully remote

Selected role

Applied Scientist II, Sponsored Products Autonomous Campaigns

Amazon.com Seattle, WA, US

$171k - $223k Senior Full-time

DESCRIPTION

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—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

Design and build agents for our autonomous campaigns experience.
Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO).
Curate datasets and tools for MCP.
Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails.
Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.
Prototype and iterate on multi-agent orchestration frameworks and workflows.
Collaborate with peers across engineering and product to bring scientific innovations into production.
Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.

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 Autonomous Campaigns 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’s retail ecosystem.

Our vision is to build a highly personalized, context-aware campaign creation and management 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—from high-level product guidance down to granular keyword recommendations—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.

BASIC QUALIFICATIONS

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Experience in designing experiments and statistical analysis of results

PREFERRED QUALIFICATIONS

Experience in professional software development
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning

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’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’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually

USA, NY, New York - 172,400.00 - 223,400.00 USD annually

USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually

Showing 1281–1300 of 11,274 AI roles

1 … 63 64 66 67 564