Work is seeking an Applied AI Scientist to research, design, develop, and deploy AI solutions that tackle real-world business challenges. The ideal candidate will leverage expertise in various AI ...
Work is seeking an Applied AI Scientist to research, design, develop, and deploy AI solutions that tackle real-world business challenges. The ideal candidate will leverage expertise in various AI ...
Principal Applied AI Scientist
San Jose, CA · On-site
They are seeking a Principal Applied AI Scientist to lead the design and deployment of cutting-edge Generative AI systems for impactful applications, while also managing teams and defining technical ...
Principal Applied AI Scientist
San Jose, CA · On-site
They are seeking a Principal Applied AI Scientist to lead the design and deployment of cutting-edge Generative AI systems for impactful applications, while also managing teams and defining technical ...
Senior Applied AI Scientist
San Jose, CA · On-site
The Senior Applied AI Scientist will design and develop cutting-edge AI systems, working collaboratively across teams to deliver impactful AI solutions in a production environment. Responsibilities ...
Senior Applied AI Scientist
San Jose, CA · On-site
The Senior Applied AI Scientist will design and develop cutting-edge AI systems, working collaboratively across teams to deliver impactful AI solutions in a production environment. Responsibilities ...
Principal Applied AI Scientist
San Jose, CA · On-site
$210 - $270/hr
We are looking for a Principal Applied AI Scientist to lead the design and deployment of cutting‑edge Generative AI and LLM‑powered systems for real‑world, high‑impact applications. This is a ...
Principal Applied AI Scientist
San Jose, CA · On-site
$210 - $270/hr
We are looking for a Principal Applied AI Scientist to lead the design and deployment of cutting‑edge Generative AI and LLM‑powered systems for real‑world, high‑impact applications. This is a ...
Principal Applied AI Scientist
San Jose, CA · On-site
We are looking for a Principal Applied AI Scientist to lead the design and deployment of cutting-edge Generative AI and LLM-powered systems for real-world, high-impact applications. This is a senior ...
Principal Applied AI Scientist
San Jose, CA · On-site
We are looking for a Principal Applied AI Scientist to lead the design and deployment of cutting-edge Generative AI and LLM-powered systems for real-world, high-impact applications. This is a senior ...
Applied AI Scientist
San Francisco, CA · On-site
$206K - $310K/yr
Applied AI Scientist (Staff level) About the role We're hiring a senior IC who pairs deep research training with the ability to ship. You'll work on hard reasoning, retrieval, and orchestration ...
Applied AI Scientist
San Francisco, CA · On-site
$206K - $310K/yr
Applied AI Scientist (Staff level) About the role We're hiring a senior IC who pairs deep research training with the ability to ship. You'll work on hard reasoning, retrieval, and orchestration ...
ABOUT THE ROLE We are hiring an Applied AI Scientist to push the frontier of what is possible with LLMs, NLP, and machine learning in real-world environments. This is not a role for someone who wants ...
Posted today
ABOUT THE ROLE We are hiring an Applied AI Scientist to push the frontier of what is possible with LLMs, NLP, and machine learning in real-world environments. This is not a role for someone who wants ...
Posted today
Senior Applied AI Scientist
San Jose, CA · On-site
About the Role We are looking for a Senior Applied AI Scientist to design and develop cutting-edge Generative AI and LLM-powered systems for real-world, high-impact applications. This is a senior ...
Senior Applied AI Scientist
San Jose, CA · On-site
About the Role We are looking for a Senior Applied AI Scientist to design and develop cutting-edge Generative AI and LLM-powered systems for real-world, high-impact applications. This is a senior ...
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Collaborate with engineering, product, and data science teams to understand requirements, incorporate stakeholder feedback, and deliver AI/ML solutions that address business and technical needs.
Applied Ai Scientist information
See salary details
$37.5K - $52K
2% of jobs
$52K - $66.4K
3% of jobs
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
$37.5K
$122.7K
$196.5K
How much do applied ai scientist jobs pay per year?
As of Aug 12, 2026, the average yearly pay for applied ai scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
How much do applied AI scientists pay?
Applied AI scientists typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow may offer higher salaries. Compensation often includes benefits such as bonuses, stock options, and professional development opportunities.
What does an applied AI scientist do?
An applied AI scientist develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with large datasets, use programming languages like Python or R, and often collaborate with cross-functional teams to deploy AI solutions in practical applications.
What is the difference between Applied Ai Scientist vs Data Scientist?
| Aspect | Applied Ai Scientist | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, AI, or related fields; experience with machine learning frameworks | Bachelor's or Master's in CS, Statistics, or related fields; strong analytical skills |
| Work Environment | Develops AI models, implements algorithms, collaborates with engineering teams | Analyzes data, builds statistical models, visualizes insights |
| Industry Usage | Tech companies, AI startups, R&D departments | Finance, healthcare, marketing, tech industries |
Applied Ai Scientists focus on developing and deploying AI models and algorithms, often working closely with engineering teams. Data Scientists analyze and interpret data to generate insights, typically working on statistical modeling and data visualization. While both roles require strong technical skills, Applied Ai Scientists are more specialized in AI and machine learning implementation, whereas Data Scientists focus on data analysis and insights.
More about Applied Ai Scientist jobs
What cities are hiring for Applied Ai Scientist jobs? Cities with the most Applied Ai Scientist job openings:
What states have the most Applied Ai Scientist jobs? States with the most job openings for Applied Ai Scientist jobs include:
What job categories do people searching Applied Ai Scientist jobs look for? The top searched job categories for Applied Ai Scientist jobs are:
Full-time
Re-posted 11 days ago
Job description
Job Summary:
OVA.Work is seeking an Applied AI Scientist to research, design, develop, and deploy AI solutions that tackle real-world business challenges. The ideal candidate will leverage expertise in various AI technologies and collaborate with cross-functional teams to drive innovation in AI initiatives.
Responsibilities:
• Research, design, and develop AI and machine learning solutions for business and product use cases.
• Build, train, fine-tune, evaluate, and optimize machine learning and deep learning models.
• Develop applications using large language models (LLMs), multimodal AI, and generative AI technologies.
• Design and implement Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation solutions.
• Conduct experiments to evaluate model accuracy, robustness, scalability, and business impact.
• Analyze structured and unstructured data to derive insights and improve model performance.
• Collaborate with data scientists, AI engineers, software developers, product managers, and business stakeholders.
• Translate research findings into scalable, production-ready AI systems.
• Implement model monitoring, evaluation, and continuous improvement processes.
• Publish technical documentation, research findings, and reusable AI assets where appropriate.
• Stay current with advancements in AI, foundation models, reinforcement learning, and emerging technologies.
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related field.
• 3–8+ years of experience in AI research, applied machine learning, or data science.
• Strong knowledge of machine learning, deep learning, NLP, computer vision, and statistical modeling.
• Experience developing and deploying production AI applications.
• Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG architectures.
• Strong understanding of experimental design, model evaluation, and performance optimization.
• Excellent analytical, communication, and problem-solving skills.
Preferred:
• Experience with multimodal AI, reinforcement learning, or agentic AI systems.
• Familiarity with distributed training and large-scale model deployment.
• Experience with cloud AI platforms and MLOps practices.
• Publications, patents, or contributions to open-source AI projects.
• Experience in industries such as healthcare, finance, manufacturing, retail, or telecommunications.
• Professional certifications in AI, machine learning, or cloud technologies.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.
OVA.Work is seeking an Applied AI Scientist to research, design, develop, and deploy AI solutions that tackle real-world business challenges. The ideal candidate will leverage expertise in various AI technologies and collaborate with cross-functional teams to drive innovation in AI initiatives.
Responsibilities:
• Research, design, and develop AI and machine learning solutions for business and product use cases.
• Build, train, fine-tune, evaluate, and optimize machine learning and deep learning models.
• Develop applications using large language models (LLMs), multimodal AI, and generative AI technologies.
• Design and implement Retrieval-Augmented Generation (RAG), AI agents, and intelligent automation solutions.
• Conduct experiments to evaluate model accuracy, robustness, scalability, and business impact.
• Analyze structured and unstructured data to derive insights and improve model performance.
• Collaborate with data scientists, AI engineers, software developers, product managers, and business stakeholders.
• Translate research findings into scalable, production-ready AI systems.
• Implement model monitoring, evaluation, and continuous improvement processes.
• Publish technical documentation, research findings, and reusable AI assets where appropriate.
• Stay current with advancements in AI, foundation models, reinforcement learning, and emerging technologies.
Qualifications:
Required:
• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Statistics, or a related field.
• 3–8+ years of experience in AI research, applied machine learning, or data science.
• Strong knowledge of machine learning, deep learning, NLP, computer vision, and statistical modeling.
• Experience developing and deploying production AI applications.
• Proficiency in Python and experience with AI/ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Hands-on experience with LLMs, prompt engineering, embeddings, vector databases, and RAG architectures.
• Strong understanding of experimental design, model evaluation, and performance optimization.
• Excellent analytical, communication, and problem-solving skills.
Preferred:
• Experience with multimodal AI, reinforcement learning, or agentic AI systems.
• Familiarity with distributed training and large-scale model deployment.
• Experience with cloud AI platforms and MLOps practices.
• Publications, patents, or contributions to open-source AI projects.
• Experience in industries such as healthcare, finance, manufacturing, retail, or telecommunications.
• Professional certifications in AI, machine learning, or cloud technologies.
Company:
OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Founded in 2018, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.