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Applied Ai Scientist Jobs (NOW HIRING)

OVA.Work

Applied AI Scientist

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 ...

Kai

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 ...

Demandbase

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 ...

Maxar

Applied AI Scientist

Herndon, VA · On-site

$146K - $244K/yr

Build andoperate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature ... MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a ...

Ro

Senior Applied AI Scientist

New York, NY · On-site

$182K - $220K/yr

We're hiring a Senior Applied AI Scientist to own the evaluation, measurement, and optimization of our AI systems. This role sits at the intersection of data science, applied machine learning, and ...

Poshmark, Inc

Staff Applied AI Scientist

Redwood City, CA · On-site

$192K - $297K/yr

As an Applied AI Scientist, you'll tackle complex challenges in personalization, trust & safety, marketing optimization, and product experience. With over 130 million users generating billions of ...

Ro

Senior Applied AI Scientist

New York, NY

$182K - $220K/yr

We're hiring a Senior Applied AI Scientist to own the evaluation, measurement, and optimization of our AI systems. This role sits at the intersection of data science, applied machine learning, and ...

Ro

Senior Applied AI Scientist

New York, NY · On-site

$182K - $220K/yr

We're hiring a Senior Applied AI Scientist to own the evaluation, measurement, and optimization of our AI systems. This role sits at the intersection of data science, applied machine learning, and ...

CareSource

Applied AI Scientist III

Dayton, OH · On-site +1

The Applied AI Scientist III is responsible for the development and application of cutting-edge advanced analytics solutions using emerging Artificial Intelligence (AI) technologies such as Agentic ...

Order.co

AI Scientist / Senior AI Scientist

Role summary We are hiring an AI Scientist or Senior AI Scientist to ship applied AI from problem definition through deployed production, with direct accountability for measurable business outcomes.

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All JobsApplied Ai Scientist Jobs

Applied Ai Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do applied ai scientist jobs pay per year?

As of Aug 9, 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?

AspectApplied Ai ScientistData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with machine learning frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops AI models, implements algorithms, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights
Industry UsageTech companies, AI startups, R&D departmentsFinance, 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:
Applied Ai Scientist jobs near you
Infographic showing various Applied Ai Scientist job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Applied AI Scientist

OVA.Work

Remote

Full-time

Re-posted 8 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.

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