Live · 10,943 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

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renow...

Fulltime Ai Robotics

$228k - $309k · Senior Fully remote

Vetalti National Research is a forward-thinking research institution based in Dubai Healthcare City, dedicated to adv...

Fulltime Remote Data Science Ai

$251k* · Senior Fully remote

(Senior) Data Scientist Category: Data & AI Location:Måløv, Capital Region of Denmark, DK Digital Chemistry & Design ...

Machine Learning Data Science Ai

Fully remote

Minimum qualifications: Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Re...

Fulltime Machine Learning Data Science Ai

Fully remote

Senior Real World Data Scientist / Epidemiologist / Biostatistician Location: Kaiseraugst, Switzerland Are you excite...

Data Science Ai

Fully remote

As a Data Scientist Assistant, you will assist in advanced statistical analysis, predictive modeling, and the develop...

Parttime Machine Learning Data Science Ai

$66k* · Senior Fully remote

Basis: Permanent - Full-time Area of Interest: Data & Analytics Location: Madrid, Spain Who we are: Geotab ® is a glo...

Fulltime Machine Learning Data Science Ai

Fully remote

We are looking for an Energy Technology Research Scientist to join our team to train AI models. You will measure the ...

$12k* · Senior Fully remote

Direct message the job poster from Anyon Technologies Jie Luo Jie Luo Cofounder Anyon Technologies Company Descriptio...

$12k* · Senior Fully remote

Meta is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of...

Ai Machine Learning

$184k - $257k · Senior Fully remote

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks i...

Ai Data Science

$91k - $177k · Senior Fully remote

CompanyQualcomm Technologies, Inc.Job AreaEngineering Group, Engineering Group > Machine Learning EngineeringGeneral ...

Machine Learning Ai

$12k* · Senior Fully remote

Lier Als AI engineer bij Mabo Automation ... werk je aan sensorfusie (lidar, camera, radar) en objectherkenning voor ...

Fulltime Ai Ai Engineer Computer Vision

Fully remote

The CompanyLUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adapt...

Ai Engineer Ai

$98k - $305k* · Senior Fully remote

About Us: Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructu...

Ai Engineer Machine Learning Ai

$12k* · Senior Fully remote

About GleanGlean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most ...

Machine Learning Ai

$270k* · Senior Fully remote

Kforce Inc provided pay range This range is provided by Kforce Inc. Your actual pay will be based on your skills and ...

Ai Engineer Ai

$125k* · Senior Fully remote

Senior Machine Learning Engineer Reports To: Vice President of Data Science Location: Chicago, Illinois Environment: ...

Fulltime Remote Machine Learning Data Science

$150k - $200k · Senior Fully remote

We are hiring a Senior ML Engineer to build, deploy, and support machine learning models and optimization systems on ...

Fulltime Remote Machine Learning Data Science

$20k* · Senior Fully remote

Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We'...

Fulltime Ai Machine Learning Robotics

$135k - $210k · Senior Fully remote

Selected role

Principal Applied Scientist, FAR (Frontier AI Robotics)

Amazon.com San Francisco, CA, US

$228k - $309k Senior Full-time

DESCRIPTION

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to lead key initiatives in robotic intelligence. As a Principal Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive technical excellence in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale.

In this role, you'll combine hands-on technical work with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.

Key job responsibilities

Lead technical initiatives in robotics foundation models, driving breakthrough approaches through hands-on research and development in areas like open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization
Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish
Guide technical direction for specific research initiatives, ensuring robust performance in production environments
Mentor and support fellow scientists while maintaining strong individual technical contributions
Collaborate with engineering teams to optimize and scale models for real-world applications
Influence technical decisions and implementation strategies within your area of focus

A day in the life

Develop and implement novel foundation model architectures, working hands-on with our extensive compute infrastructure
Guide and support fellow scientists in solving complex technical challenges, from sim2real transfer to efficient multi-task learning
Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems
Drive technical discussions within your team and with key stakeholders
Conduct experiments and prototype new ideas using our massive compute cluster
Mentor team members while maintaining significant hands-on contribution to technical solutions

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through ground breaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.

Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

BASIC QUALIFICATIONS

PhD, or Master's degree and 6+ years of applied research experience
5+ years of industry or academic research experience
Experience programming in Java, C++, Python or related language
5+ years of building machine learning models or developing algorithms for business application experience
Experience in patents or publication at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL).
Extensive track record of leading technical projects.
Experience mentoring junior scientists / engineers.
Demonstrated expertise in deep learning and model development.

PREFERRED QUALIFICATIONS

Experience as first-author publications at major conferences
Experience leading research initiatives in robotics or foundation models
Track record of successful production ML deployments
Experience with large-scale distributed systems
Experience in technical leadership and team mentorship
Experience bridging research with practical engineering implementation

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.

Pursuant to the San Francisco 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, San Francisco - 228,700.00 - 309,400.00 USD annually

USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually

Showing 3341–3360 of 10,943 AI roles

1 … 166 167 169 170 548

AI Jobs

Find your next AI role

Principal Applied Scientist, FAR (Frontier AI Robotics)

Data Scientist

(Senior) Data Scientist

Data Scientist, gTech Ads

Senior Real World Data Scientist / Epidemiologist / Biostatistician

Data Scientist Assistant - Working Student (40%)

Senior Data Scientist, Altitude

Energy Technology Research Scientist

Research Scientist

AI Research Scientist, SysML - FAIR

Data Scientist

Engineer, Machine Learning Engineering (ML Apps)

AI Engineer

ML/AI Engineer

AI/ML Engineer

Machine Learning Engineer, Infrastructure

AI Engineer

Senior Machine Learning Engineer

Senior ML Engineer

Machine Learning Engineer