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Foundation Ai Jobs (NOW HIRING)

The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while ...

The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while ...

The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while ...

The team leads the design and delivery of a trusted unified data foundation, AI-driven data analytics and insights, and AI solutions across lululemon's vertically integrated retail ecosystem, while ...

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Foundation Ai information

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$33

$41

$53

How much do foundation ai jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for foundation ai in the United States is $41.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $52.64 per hour, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and may involve leadership responsibilities or specialized expertise. Compensation at this level reflects significant experience, impact, and often includes bonuses or stock options.

What are the key skills and qualifications needed to thrive as a Foundation AI Engineer, and why are they important?

To thrive as a Foundation AI Engineer, you need a strong background in computer science, machine learning, and deep learning, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and experience with large language models are essential, along with certifications in AI or data science being advantageous. Strong problem-solving skills, adaptability, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI systems, collaborating across teams, and driving innovation in complex, evolving environments.

What are some common challenges faced by professionals working with Foundation AI models, and how can they be addressed?

Professionals working with Foundation AI models often encounter challenges such as managing large-scale datasets, ensuring model fairness and transparency, and keeping up with rapid advancements in AI research. Addressing these challenges typically involves collaborating closely with data engineers, domain experts, and ethics teams, as well as actively participating in ongoing training and knowledge sharing. Staying adaptable and continuously learning about new tools and best practices is key to success in this dynamic and evolving field.

Who is the CEO of Foundation AI?

Foundation AI is a company focused on AI development, and its CEO is currently David H. Lee. Leadership roles like CEO are typically listed on the company's official website or press releases.

Is Foundation AI a good company?

Foundation AI is a company focused on developing artificial intelligence solutions, and employment opportunities may involve roles in AI research, data analysis, or software development. The company's reputation and work environment can vary, so researching employee reviews and company culture is recommended for job seekers.

What are Foundation AI jobs?

Foundation AI jobs involve working with foundational artificial intelligence models that serve as the basis for a wide range of applications, such as natural language processing and computer vision. Professionals in these roles may focus on developing, training, fine-tuning, or deploying large-scale AI models like GPT or BERT. These jobs typically require expertise in machine learning, deep learning, and software engineering, and can be found in tech companies, research labs, and startups. The work aims to push the boundaries of what AI systems can do, enabling new technologies and smarter applications.

What is the 30% rule for AI?

The 30% rule in AI refers to a guideline suggesting that a model's training data should not exceed 30% of the total data used in a project to prevent overfitting and ensure better generalization. For AI developers and data scientists, balancing data quantity and quality is essential for effective model performance and avoiding bias.

What is the difference between Foundation Ai vs Data Scientist?

AspectFoundation AiData Scientist
Required CredentialsTypically requires a background in AI, machine learning, or related fields; certifications in AI tools are commonRequires a degree in data science, statistics, or related fields; certifications in data analysis or programming are beneficial
Work EnvironmentOften works in AI development teams, research labs, or tech companies focusing on AI solutionsWorks in data analysis, modeling, and insights generation across various industries
Employer & Industry UsageUsed by AI-focused companies, startups, and research institutionsEmployed across finance, healthcare, tech, and other sectors requiring data analysis

Foundation Ai professionals focus on developing and implementing AI models, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Foundation Ai roles are more specialized in AI development, whereas Data Scientists have a broader focus on data analysis and interpretation.

More about Foundation Ai jobs
What cities are hiring for Foundation Ai jobs? Cities with the most Foundation Ai job openings:
What states have the most Foundation Ai jobs? States with the most job openings for Foundation Ai jobs include:
Infographic showing various Foundation Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $87,093 per year, or $41.9 per hour.

Postdoctoral Scholar

Penn State University

University Park, PA • On-site

Full-time

Re-posted 25 days ago


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

225th of 614 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University.
The Pennsylvania State University is seeking applications for a Postdoctoral Researcher position in the field of computational land surface hydrology, with a focus on Foundation AI model pretraining and finetuning, geospatial data processing and physics-informed machine learning. Prior experiences with these topics are highly desired. Pending approval of the grant, the successful candidate will work on innovative research in hydrology, collaborating with Dr. Shen and other faculty members, while also participating in the development of research projects and providing support to graduate students.
The postdoctoral scholar will combine foundation AI modeling and differentiable modeling (a genre of physics-informed machine learning) for hydrologic modeling to improve large-scale hydrologic forecast. The scholar will work with a large, interdisciplinary team on the next-generation land surface model. Especially, the scholar will integrate state-of-the-art AI and physics-informed AI techniques into an operational system. The contribution could bring benefits to society and reduce the damage of floods.
Duties include, but are not limited to:
  • Develop and implement novel modeling techniques.
  • Stay current with the latest developments and be willing to learn and adopt frontier methods.
  • Collaborate with research team members to design, execute, and interpret research findings.
  • Contribute to the development of high-quality research publications and presentations.
  • Provide support to graduate students within the department.

Requirements:
The Postdoctoral Researcher should possess a Ph.D. in hydrology, civil engineering, environmental science, or a closely related field by the appointment start date.
The successful candidate will also have:
  • A strong background in numerical modeling and the application of computational methods to land surface hydrological problems.
  • Research experience with a track record of published work in relevant scientific journals.
  • Excellent communication, teamwork, and problem-solving skills.
  • Proficiency in programming languages, such as Python or Fortran.
  • Experiences with machine learning is a plus to the application.
  • Solid understanding of the physical hydrologic cycle and large-scale geographic datasets.

The Pennsylvania State University offers a dynamic research environment, providing access to world-class facilities and resources. We encourage highly motivated candidates with a passion for advancing the field of computational hydrology to apply for this exciting position. To apply, please submit your CV, a cover letter detailing your research interests and experience, and contact information for three references with your online application.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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