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Foundation Ai Jobs (NOW HIRING)

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

They are seeking a Senior AI Researcher to join their Foundation AI team, where the primary focus will be on building multimodal foundation models that enhance personalized health experiences for ...

Foundation AI

Customer Solutions Manager

New York, NY · On-site +1

Foundation AI is the only AI-native document intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes ...

WHOOP

Senior AI Researcher (Foundation AI)

Boston, MA · On-site

We are seeking a Senior AI Researcher to join our Foundation AI team to drive the research, development, and deployment of large-scale multimodal models that integrate various data types to enhance ...

Foundation AI

Customer Solutions Manager

New York, NY · Remote

Foundation AI is the only AI-native document intake automation platform serving the claims and litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes ...

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How much do foundation ai jobs pay per hour?

As of Jul 14, 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:
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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,093 per year, or $41.9 per hour.
Senior AI Researcher (Foundation AI)

Senior AI Researcher (Foundation AI)

WHOOP

Boston, MA • On-site

Full-time

Posted 22 days ago

Job description

Job Summary:
WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. They are seeking a Senior AI Researcher to join their Foundation AI team, where the primary focus will be on building multimodal foundation models that enhance personalized health experiences for 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:
Required:
• 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.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
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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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