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Foundation Ai Jobs (NOW HIRING)

SAP

SAP BTP AI Architect

Newtown Square, PA

Leverage SAP BTP services, including SAP AI Foundation (AI Core, AI Launchpad), Generative AI Hub, SAP AI Business Services, SAP Build, and SAP Integration Suite to build innovative enterprise ...

SAP

SAP BTP AI Architect

Newtown Square, PA · On-site

Leverage SAP BTP services, including SAP AI Foundation (AI Core, AI Launchpad), Generative AI Hub, SAP AI Business Services, SAP Build, and SAP Integration Suite to build innovative enterprise ...

SAP

SAP BTP AI Architect

Newtown Square, PA

Leverage SAP BTP services, including SAP AI Foundation (AI Core, AI Launchpad), Generative AI Hub, SAP AI Business Services, SAP Build, and SAP Integration Suite to build innovative enterprise ...

SAP

SAP BTP AI Architect

Newtown Square, PA · On-site

Leverage SAP BTP services, including SAP AI Foundation (AI Core, AI Launchpad), Generative AI Hub, SAP AI Business Services, SAP Build, and SAP Integration Suite to build innovative enterprise ...

OATI

AI Engineer

Bloomington, MN

$100K - $150K/yr

Design, build and fine-tune large foundation AI models (e.g., LLMs, multimodal models) for the energy domain. * Develop and deploy agentic AI systems capable of autonomous decision-making and multi ...

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How much do foundation ai jobs pay per hour?

As of Jun 15, 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 job makes $10,000 a month without a degree?

In the context of Foundation AI, roles such as AI specialist, data scientist, or machine learning engineer can potentially earn $10,000 or more per month through skills in programming, data analysis, and AI tools. These positions often require strong technical expertise, experience, and sometimes certifications, but may not always require a traditional degree.

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.

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 based on individual experiences and industry reviews, so researching employee feedback 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 a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries reflect the high demand and specialized expertise in the AI industry.

What jobs pay 2000 a day?

High-paying jobs that can earn $2,000 or more per day include specialized roles such as senior software engineers, surgeons, corporate lawyers, and investment bankers. These positions typically require advanced skills, extensive experience, and often involve high-pressure environments or significant responsibilities.

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:
What job categories do people searching Foundation Ai jobs look for? The top searched job categories for Foundation Ai jobs are:
Foundation Ai jobs near you
Infographic showing various Foundation Ai job openings in the United States as of June 2026, with employment types broken down into 62% Full Time, 33% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $87,093 per year, or $41.9 per hour.
Senior AI/ML Researcher (Foundation AI)

Senior AI/ML Researcher (Foundation AI)

Whoop

Boston, MA

$190K - $230K/yr

Full-time

Posted 24 days ago

Job description

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. 

We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP's next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior.

In this role, you'll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members.

RESPONSIBILITIES:
  • Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data.
  • Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP's core model capabilities.
  • Develop scalable, distributed training pipelines for large models on high-performance compute environments.
  • Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability.
  • Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value.
  • Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP.
  • Ensure models adhere to WHOOP's standards for ethical, transparent, and privacy-preserving AI.
QUALIFICATIONS:
  • Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience.
  • 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems.
  • Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training. 
  • Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). 
  • Familiarity with training models on  mulit-node, multi-gpu distributed compute environments. 
  • Familiarity with best practices for data, model, and context parallelisms.
  • Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications.
  • Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.). 
  • Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute.
  • Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams.
  • Passion for WHOOP's mission to improve human performance and extend healthspan through science and technology.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 
 
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
 
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.  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.
 
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
 
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
 
The U.S. base salary range for this full-time position is $190,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. 
 
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
 
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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