9 Online Learning jobs in the United States

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

***Please note only role is for Eastern Time Zone location***

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining scalable machine learning systems. You will work closely with data scientists, software engineers, and business stakeholders to deploy models into production, ensure system reliability, and optimize performance across GXO's operations.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.

What you'll do on a typical day:

• Deploy and monitor ML models in production | Use tools like Docker, Kubernetes, and MLflow to ensure scalable and reliable deployment
• Build and maintain data pipelines | Use tools like Airflow, Spark, or Kafka to support model training and inference
• Integrate ML models into business applications | Collaborate with software engineers to embed models into operational systems
• Monitor model performance and data drift | Implement alerting and retraining pipelines
• Clean and preprocess data | Ensure data quality and consistency for modeling
• Work with cross-functional teams | Translate business needs into technical solutions
• Maintain technical documentation | Ensure reproducibility and knowledge sharing
• Optimize ML workflows | Identify and implement improvements in performance and scalability

At a minimum, you'll need:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3-5 years in AI/ML engineering or Data Science, or software engineering with ML focus
• ML Engineering Expertise: Strong understanding of ML lifecycle, from training to deployment and monitoring.
• Programming Proficiency: Advanced Python skills; experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• MLOps Tools: Proficiency in Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Data Engineering: Experience with data pipeline tools (Airflow, Spark, Kafka).
• Cloud Platforms: Familiarity with AWS, GCP , or Azure.

• Collaboration: Ability to work with data scientists, developers, and business stakeholders.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.

We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.

All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

As a Lead Software Engineer at JPMorgan Chase within the Machine Learning and Intelligence Operations Virtual Agent Assist team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology product in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing critical technology solutions across multiple technical areas in support of the firm's business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) such as Java and Python
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Experience in building enterprise applications with high availability and performance using Spring, ORM, Kafka, Elastic Search, Distributed Cache.
• Hand on experience in UI Frameworks like React
• Proficiency in SQL and Database development.
• Experience managing technologists, building large enterprise applications beyond exposing REST endpoints on database and cloud native applications based on 12 factor methodology.

• Strong AWS experience. Use of ECS, Kafka, S3, DynamoDB, RDS, Elasticcache. Deep knowledge of creating infrastructure using Terraform. Building and deploying docker containers.
• Experience in building full stack applications with ReactJS front-end and Java backend.
• Experience in building micro-frontends
• Knowledge of ML frameworks and GenAI

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

An instructional designer is responsible for creating effective, engaging, and accessible learning experiences by applying adult learning theory, they collaborate with subject matter experts to analyze learning needs, design curriculum and training materials, develop digital and facilitated learning solutions, and evaluate instructional effectiveness. Their goal is to enhance learner performance and support organizational goals through well-structured, learner-centered content.

Major Responsibilities

• Design, develop and implement course content for new hire training curriculum for Care solution roles inclusive of case managers, specialty case managers, coaches, personal advocates , and supervisors.

• Design, develop and implement course content for ongoing learning initiatives . Perform readiness activities to support courses for quarterly learning bundles. Effective learners ready for new initiatives or process changes.

• Perform ongoing curriculum maintenance on a consistent basis to ensure training materials are current and documentation is available in a secure shared location.

• Perform and lead discovery sessions leveraging the ADDIE framework in instructional design.

• Analysis : Identify audience, define learning objectives , skill gaps, conduct needs analysis

• Design: Design course structure, delivery method, story board outline , engagement approach, (role/play, scenarios, test knowledge)

• Develop: Create the material outlined in the storyboard, set up demo reviews & obtain feedback & sign off.

• I mplementation : Finalize curriculum and load to LMS, support VOC and updates, supports t rain the trainer , make real time adjustments

• Evaluation : Develop evaluation model for each curriculum built to measure proficiency and track learning analytics to assess learning effectiveness, identify opportunities for improvement and stakeholder satisfaction.

• Collaborate and develop relationships with business partners to implement and assist in curriculum development.

• Employ creative development methods and incorporate new technologies to drive innovation

• A pply industry best practices, trends, and feasibility of various learning modalities

• Promote inclusion of core values and strategies in training curricula.

• Identify changes in products, systems and processes that impact training through attendance at operational and project meetings or other formal and informal means, and update the curriculum as needed with these changes.

• Embrace change, stay current on the business strategy and keep curricula up to date with the changes in the business strategy and align with C are Solution key priorities.

• Continually improve the effectiveness and depth of all training curricula by staying current with evolving instructional design techniques and software.

• Continuously enhance the training experience of learners by creating an interactive and engaging learning environment utilizing instructor-led, virtual and eLearning platforms.

• Perform classroom training and facilitation as required to meet business needs.

• This is a remote role. May require in office meetings as applicable.

Skills and Attributes

The Instructional Designer must possess the following skills and attributes:

• A bility to demonstrate excellent communication skills, both written and oral;

• D emonstrate strong presentation skills

• Can navigate a fast-paced environment with tight deadlines

• S trong computer , MS Office skills & LMS

• Works well independently and as a team

• Highly organized, motivated, consistently meets operational timelines through effective planning and execution

• Self-directed ; has a strong understanding of l earning theory , adult learning principles and learning styles

• Change agile with the ability to shift gears quickly

• Technically savvy, can adapt qui ckly to new technology

• Receptive to feedback & seeks feedback proactively. Demonstrates a growth mindset

Qualifications:

• 3 + years of instructional design with 2+ years' experience developing healthcare training curriculum

• Bachelor's Degree preferred. Instructional Design certification a plus

• Demonstrated understanding of Evernorth & C are solutions products and programs

• Experience implementing training programs and building strong relationships and consensus.

• Strong skills working with authoring tools such as: Articulate ( Storyline ; Rise) , Camtasia, Adobe Captivate, Vyond , etc.

• Understanding of medical management operations and various systems ( i.e. TruCare, HEV, HC ICMS, CHC ICMS, CAMS, DG, CCMS, PreVue ) preferred.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 69,500 - 115,900 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group .

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansa s, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.