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

$136k - $223k · Senior Fully remote

View details

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

Fulltime Ai Robotics

$136k - $223k · Senior Fully remote

View details

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

Fulltime Ai Robotics

$136k - $223k · Senior Fully remote

View details

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

Fulltime Ai Robotics

$150k - $260k · Senior Fully remote

View details

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, hig...

Fulltime Remote Ai Machine Learning

Fully remote

View details

Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-cla...

Fulltime Remote Machine Learning Deep Learning

$142k* · Senior Fully remote

View details

Company Description Vareon is at the forefront of developing a next-generation artificial intelligence engine that is...

Contract Remote Ai Robotics

Fully remote

View details

Geeksoft Consulting is seeking a Senior AI/ML Engineer to design, develop, and deploy advanced machine learning and A...

Fulltime Ai Ai Engineer Machine Learning

Fully remote

View details

Job Opportunity: Senior Machine Learning Engineer Location: Remote / Hybrid across US and Europe We are seeking a Sen...

Fulltime Remote Machine Learning Deep Learning

Fully remote

View details

AI/ML Engineer | Remote (PST) Want to design, train, and deploy ML models at scale? This role’s fully remote, but we’...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new too...

Fulltime Ai Machine Learning Robotics

$264k* · Senior Fully remote

View details

About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people'...

Fulltime Ai

Fully remote

View details

168016 Assists in experimental studies in the Lab relating to specific research projects. Carries out clinical and re...

Fulltime Ai

$168k* · Senior Fully remote

View details

*The National Security Sector at Leidos currently has an opening for a Research Scientist at the U.S. Army Combat Cap...

Fulltime Ai

$69k - $125k · Senior Fully remote

View details

Position Summary Odyssey Systems has an exciting opportunity for a Research Scientist, supporting the Traumatic Brain...

Fulltime Remote Ai

$34k* · Senior Fully remote

View details

Equal Opportunity Employer The State of California is an equal opportunity employer to all, regardless of age, ancest...

Fulltime Ai

$114k - $148k · Senior Fully remote

View details

Reports to a departmental or divisional director and is responsible for direction of the research activities of a lab...

Fulltime Ai

$68k - $340k · Senior Fully remote

View details

Snapshot Members of the Affective Computing group contribute broadly across DeepMind efforts including to the Gemini ...

Fulltime Ai Machine Learning

$166k - $244k · Senior Fully remote

View details

No Relocation Assistance Offered Job Number #170414 - Piscataway, New Jersey, United States Who We Are Colgate-Palmol...

Fulltime Ai

$83k - $117k · Senior Fully remote

View details

Serves as a key collaborator to investigators, providing clinical and behavioral research expertise. Participates in ...

Fulltime Ai

$380k* · Senior Fully remote

View details

Selected role

Applied Scientist

Amazon.com New York, NY, US

$136k - $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 to guide advertisers in conversational and non-conversational 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 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’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—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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Showing 1641–1660 of 2,088 AI roles

1 … 81 82 84 85 105

Find your next AI role

Applied Scientist

Applied Scientist II, SPB Advertiser Guidance

Applied Scientist II, Sponsored Products Autonomous Campaigns

Sr. Applied Scientist, SPB Advertiser Guidance

Exceptional Data Scientists

Machine Learning Engineer - Behaviors

Artificial Intelligence Research Scientist

Senior AI / ML Engineer

Machine Learning Engineer

AI ML Engineer

Research Scientist, Computational Cognitive Scientist

Research Scientist, Ultrasound Imaging

Research Scientist - VIVO Health

Research Scientist

Research Scientist

RESEARCH SCIENTIST SUPERVISOR I (CHEMICAL SCIENCES)

Research Scientist

Research Scientist, Socioaffective Agents

Research Scientist- Oral Care Product Development

Research Scientist - Neurology - Onsite