Mid Level Artificial Intelligence Scientist Jobs
Mid level artificial intelligence scientist jobs go to professionals ready to own research pipelines, mentor junior team members, and deliver production-ready models with limited oversight. Hiring runs across Technology & Software, Consulting & Professional Services, and Fintech, with 24% of openings remote or hybrid, and employers like Intuit, Meta, and Amazon competing for mid level talent now.
Find JobsOverview
Open roles121+
Top stateCalifornia
Top employerIntuit
Top cityNew York, NY
Work type76% On-site
Top industryTechnology
Showing 5 of 121+ Mid Level Artificial Intelligence Scientist jobs
Senior Generative AI Scientist II
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New 1m ago
Cotiviti
Senior Generative AI Scientist II
Remote
New 1m ago
Senior Software Engineer - Enterprise Artificial Intelligence (AI)
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New 1m ago
Travelers
Senior Software Engineer - Enterprise Artificial Intelligence (AI)
Atlanta, Georgia
New 1m ago
Applied Artificial Intelligence/ Machine Learning Lead - Vice President
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New 1m ago
JPMorganChase
Applied Artificial Intelligence/ Machine Learning Lead - Vice President
Jersey City, New Jersey
New 1m ago
Intermediate Artificial Intelligence Analyst
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New 1m ago
Chenega Corporation
Intermediate Artificial Intelligence Analyst
Arlington, Virginia
New 1m ago
Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice
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New 1m ago
Amazon.com
Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice
Seattle, Washington
New 1m ago
New 1m ago
Senior Generative AI Scientist II
Cotiviti·Remote
Job functions:
$153k - $180k/yr
5+ yrs exp.
Full Time
5,001-10,000 employees
Job Description
Overview:
Please note: We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.
Responsibilities:
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 6/22/2026
#LI-Remote
The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world problems to enable healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact on business outcomes.
Please note: We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.
Responsibilities:
As a Sr GenAI Scientist within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented.
- Work with key stakeholders within Research and Development as well as Business Operations, along with Product Management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
- Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.
- Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.
- Prepare your final trained model and develop a validation test set for QA.
- Work with ML Ops/Production operations to deploy your model into production and support them in monitoring model performance.
- Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
- Participate in other data science initiatives, collaborating with your peers to support their projects.
- Participate in knowledge sharing sessions to bring new insights and technologies to the team.
- Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
- Complete all responsibilities as outlined in the annual performance review and/or goal setting.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications:
- Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
- Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases.
- 5+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Experience working with Apache Spark™ and large-scale distributed datasets.
- Experience communicating technical concepts to non-technical and technical audiences is a plus.
- Flexibility to work with global teams as well geographically dispersed US based teams.
- Professional with ability to properly handle confidential information.
- Ability to work within a matrixed organization.
- Proficiency in all required skills and competencies above.
Mental Requirements:
- Passion for collaboration, learn it all mindset and driving value with AI.
- Ability to work independently as well as collaborate as a team with a sense of urgency.
- Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
- Ability to handle multiple tasks, prioritize and meet deadlines.
- Communicating with others and teamwork.
Physical Requirements and Working Conditions:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- No adverse environmental conditions expected.
- Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
- Must be able to provide a dedicated, secure work area.
Base compensation ranges from $153,000 to $180,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 6/22/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/22/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
#LI-Remote
#Senior
#LI-LL1
Cotiviti
Senior Generative AI Scientist II
Remote
New 1m ago5,001-10,000 employees
Job functions:
$153k - $180k/yr
5+ yrs exp.
Full Time
Job Description
Overview:
Please note: We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.
Responsibilities:
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 6/22/2026
#LI-Remote
The Sr Data Scientist - Generative AI II will apply knowledge and expertise to real world problems to enable healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States. With access to dedicated on premise and cloud based big data solutions, the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records and others to begin to solve some of the most pressing healthcare issues of our time. A Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors and innovators to set aggressive goals and execute them with the team. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact on business outcomes.
Please note: We are currently hiring multiple positions at various levels for our Artificial Intelligence teams. Please use the chart below as a guide for the amount of experience required for each level, and apply to the req(s) that are most appropriate for your level of experience.
Responsibilities:
As a Sr GenAI Scientist within Cotiviti you will be responsible for delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. You will work as part of a team and will be individually responsible for the delivery of value associated with your projects. You will be expected to follow processes and practices that allow your models to be incorporated into our machine learning platform for production execution and monitoring, however, initial exploratory data analysis allows for more flexible experimentation to discover solutions to the business problems presented.
- Work with key stakeholders within Research and Development as well as Business Operations, along with Product Management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and Artificial Intelligence techniques.
- Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.
- Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.
- Prepare your final trained model and develop a validation test set for QA.
- Work with ML Ops/Production operations to deploy your model into production and support them in monitoring model performance.
- Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
- Participate in other data science initiatives, collaborating with your peers to support their projects.
- Participate in knowledge sharing sessions to bring new insights and technologies to the team.
- Provide End to End value-based solutions, including data pipeline, model creation and application for end user consumption.
- Complete all responsibilities as outlined in the annual performance review and/or goal setting.
- Complete all special projects and other duties as assigned.
- Must be able to perform duties with or without reasonable accommodation.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications:
- Graduate degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI.
- Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases.
- 5+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU.
- Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
- Experience working with Apache Spark™ and large-scale distributed datasets.
- Experience communicating technical concepts to non-technical and technical audiences is a plus.
- Flexibility to work with global teams as well geographically dispersed US based teams.
- Professional with ability to properly handle confidential information.
- Ability to work within a matrixed organization.
- Proficiency in all required skills and competencies above.
Mental Requirements:
- Passion for collaboration, learn it all mindset and driving value with AI.
- Ability to work independently as well as collaborate as a team with a sense of urgency.
- Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
- Ability to handle multiple tasks, prioritize and meet deadlines.
- Communicating with others and teamwork.
Physical Requirements and Working Conditions:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- No adverse environmental conditions expected.
- Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
- Must be able to provide a dedicated, secure work area.
Base compensation ranges from $153,000 to $180,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.
Since this job will be based remotely, all interviews will be conducted virtually.
Date of posting: 6/22/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/22/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
#LI-Remote
#Senior
#LI-LL1
See All 121+ Mid Level Artificial Intelligence Scientist Jobs
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Find JobsMid Level Artificial Intelligence Scientist Job Market
Who's Hiring
- Intuit11
- Meta5
- Amazon5
- Bosch4
- Amazon Web Services4
Top Industries Hiring
- Technology & Software44
- Consulting & Professional Services14
- Fintech9
- Retail7
- Science & Research7
Mid Level Artificial Intelligence Scientist Jobs: Frequently Asked Questions
How do I get a mid level artificial intelligence scientist job?
Emphasize end-to-end project ownership rather than task contribution. Highlight shipped models, measurable performance improvements, and decisions you drove independently. Tailor your resume to show depth in a core area, whether computer vision, NLP, or reinforcement learning, alongside cross-functional collaboration. A strong portfolio with documented results and clear problem framing consistently outperforms a generic list of tools and frameworks.
Which companies hire mid level artificial intelligence scientists?
Companies hiring mid level artificial intelligence scientists right now include Intuit, Meta, and Amazon, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix, including technology platforms, enterprise software companies, defense contractors, and applied research labs that need scientists who can execute independently.
Are there remote mid level artificial intelligence scientist jobs?
Yes, remote and hybrid options are widely available at this level. About 24% of mid level artificial intelligence scientist openings are remote or hybrid as of July 2026, reflecting strong employer appetite for distributed AI talent. On-site roles tend to cluster at labs and regulated industries where data access or hardware requirements make full remote less practical.
How do I move up to a mid level artificial intelligence scientist role?
Growth from entry level to mid level comes from accumulating ownership over time. Early on, focus on shipping complete solutions rather than components, volunteering to lead experiments, and building a specialty in one modeling domain. Consistent delivery, peer mentorship, and demonstrating that you can scope a problem and solve it without step-by-step guidance are the signals employers use to promote scientists into mid level positions.
Which industries hire the most mid level artificial intelligence scientists?
Mid Level artificial intelligence scientist roles concentrate in Technology & Software, Consulting & Professional Services, and Fintech, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at the mid level because they have mature data infrastructure, active production deployments, and enough research volume to justify dedicated AI scientists rather than generalist engineers.