7,578 AI And Machine Learning jobs in the United States

About Treering

Treering, a Silicon Valley-based tech company, helps people preserve and celebrate their memories. By combining just-in-time digital printing with the power of AI tools, Treering delivers personalized keepsakes that celebrate important milestones and events.

We are seeking a highly skilled AI Engineer to lead the maintenance and enhancement of our existing AI solutions. This role will be crucial in ensuring the smooth operation and continuous improvement of our AI-driven product generation process. You will be working with a suite of APIs designed to analyze, score, and rank photos, making critical decisions to automatically generate photobooks, yearbooks, and other print-on-demand products.

• AI Systems Maintenance: Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking.
• Enhancement and Development: Develop and enhance AI models and algorithms to improve the accuracy and efficiency of automated product generation.
• API Management: Oversee and manage the suite of APIs used in our AI solutions.
• Cloud Infrastructure: Utilize and manage AWS services such as Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, and RDS.
• State Machine Management: Design, implement, and manage state machines for orchestrating AI processes.
• Programming: Write and maintain Python code for AI models and API development.
• Monitoring and Troubleshooting: Monitor AI system performance, troubleshoot issues, and implement solutions.
• Collaboration: Work closely with cross-functional teams to integrate AI solutions into the overall product workflow.

• Bachelor’s or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 6+ years of experience in AI development and deployment.
• Strong proficiency in Python programming.
• Extensive experience with AWS services, including Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, RDS.
• Experience with API development and management.
• Solid understanding of machine learning algorithms and techniques.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Strong leadership and mentoring abilities.

• Impact: Your work directly contributes to modernizing the yearbook industry.
• Innovation: Work with cutting-edge technologies in an agile environment.
• Growth: Opportunities for career advancement and professional development.
• Culture: A collaborative, inclusive, and supportive team environment.

• Comprehensive medical, dental, vision, life/AD&D, and disability coverage
• Pre-tax savings/spending plans, including HSA employer contributions
• Parental Leave Benefits
• Pre-tax and Roth 401(k) plan with an employer contribution
• Flexible vacation for salaried
• Twelve paid holidays throughout the year

Salary: $180,000 - $200,000 a year

If you are an experienced software engineer who thrives in a dynamic environment and is passionate about designing and implementing innovative web solutions, we invite you to apply.

About Treering

Treering, a Silicon Valley-based tech company, helps people preserve and celebrate their memories. By combining just-in-time digital printing with the power of AI tools, Treering delivers personalized keepsakes that celebrate important milestones and events.

We are seeking a highly skilled AI Engineer to lead the maintenance and enhancement of our existing AI solutions. This role will be crucial in ensuring the smooth operation and continuous improvement of our AI-driven product generation process. You will be working with a suite of APIs designed to analyze, score, and rank photos, making critical decisions to automatically generate photobooks, yearbooks, and other print-on-demand products.

• AI Systems Maintenance: Maintain and optimize existing AI solutions, including APIs for photo analysis, scoring, and ranking.
• Enhancement and Development: Develop and enhance AI models and algorithms to improve the accuracy and efficiency of automated product generation.
• API Management: Oversee and manage the suite of APIs used in our AI solutions.
• Cloud Infrastructure: Utilize and manage AWS services such as Rekognition, Lambda, SageMaker, Step Functions, SQS, OpenSearch, S3, and RDS.
• State Machine Management: Design, implement, and manage state machines for orchestrating AI processes.
• Programming: Write and maintain Python code for AI models and API development.
• Monitoring and Troubleshooting: Monitor AI system performance, troubleshoot issues, and implement solutions.
• Collaboration: Work closely with cross-functional teams to integrate AI solutions into the overall product workflow.

• Bachelor’s or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 6+ years of experience in AI development and deployment.
• Strong proficiency in Python programming.
• Extensive experience with AWS services, including Rekognition, Lambda, SageMaker, Step Functions, State Machines, SQS, OpenSearch, S3, RDS.
• Experience with API development and management.
• Solid understanding of machine learning algorithms and techniques.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Strong leadership and mentoring abilities.

• Impact: Your work directly contributes to modernizing the yearbook industry.
• Innovation: Work with cutting-edge technologies in an agile environment.
• Growth: Opportunities for career advancement and professional development.
• Culture: A collaborative, inclusive, and supportive team environment.

• Comprehensive medical, dental, vision, life/AD&D, and disability coverage
• Pre-tax savings/spending plans, including HSA employer contributions
• Parental Leave Benefits
• Pre-tax and Roth 401(k) plan with an employer contribution
• Flexible vacation for salaried
• Twelve paid holidays throughout the year

Salary: $180,000 - $200,000 a year

If you are an experienced software engineer who thrives in a dynamic environment and is passionate about designing and implementing innovative web solutions, we invite you to apply.

This range is provided by Corps Team. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$55.00/hr - $72.00/hr

Our client, a leader in the power sports industry, is seeking an experienced AI/ML Engineer for a 12+ month contract to hire position in Medina, MN. This role is hybrid, candidate must be comfortable coming into the office for business needs, which can vary each week. Core Hours: 8am-5pm CST, M-F.

• AI Solution Development & Deployment: Design and implement AI models and algorithms using Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
• Develop and deploy machine learning models with a focus on NLP and LLMs, utilizing frameworks such as LangChain or Semantic Kernel.
• Implement RAG architectures using Azure AI Search to enhance the performance and accuracy of generative AI applications.
• Project Delivery & Client Engagement: Lead and contribute to the delivery of AI projects, ensuring solutions are scalable, secure, and aligned with client objectives.
• Work in both project-based and staff augmentation roles, adapting to various client environments and requirements.
• Provide technical expertise and guidance to clients, ensuring successful adoption and integration of AI solutions.
• Model Validation & Quality Assurance: Conduct thorough testing and validation of AI models to ensure accuracy, reliability, and performance.
• Optimize and fine-tune models, addressing issues related to data quality, bias, and fairness.
• Stay current with industry trends and best practices in AI technology, incorporating them into solution development.

• Collaborate with sales and delivery teams to design AI solutions that meet client needs.
• Develop estimates and proposals for AI projects, articulating the value and feasibility of proposed solutions.
• Conduct technical presentations and demonstrations to clients and stakeholders.

• Bachelor's Degree in Computer Science, Data Science or similar (relevant work experience is acceptable)
• 3+ years of experience in AI/ML development, with a focus on OpenAI Services, NLP and LLMs.
• Experience in a consulting environment, engaging with clients and delivering tailored solutions.

• Proficiency in programming languages such as Python or C#.
• Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.
• Experience with Azure AI services, including Azure Machine Learning, Cognitive Services, and Azure OpenAI.
• Familiarity with RAG architectures and tools like LangChain, Semantic Kernel, or LlamaIndex.
• Model selection, validation, and workload optimization.
• Knowledge of data processing and pipeline development using Azure Data Factory or similar tools.
• Understanding of MLOps practices and tools for model lifecycle management.

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a dynamic, fast-paced environment.

• Mid-Senior level

• Contract

• Engineering and Information Technology

• Engineering Services
• IT Services and IT Consulting
• Motor Vehicle Manufacturing

Referrals increase your chances of interviewing at Corps Team by 2x

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As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The Machine Learning R&D Engineer role is responsible for the design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate AWS services, Docker, MLFlow, and other. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals.

• Machine learning model research and development: design, develop and deploy machine learning models for localization and business workflow processes, including machine translation and quality assurance. Utilize appropriate metrics to evaluate model performance and iterate accordingly
• Define and design solutions to machine learning problems: work closely with cross-functional teams to understand business requirements and design solutions that meet those needs. Explain complex technical concepts clearly to non-technical stakeholders
• Write robust, well-documented, and structured Python code
• Ensure code quality
• Mentorship: guide junior team members and contribute to a collaborative team environment

• Effective Model Development: models are accurate, efficient, and align with project requirements
• Positive Team Collaboration: ability to collaborate effectively with various teams and stakeholders
• Continuous Learning and Improvement: a commitment to continuously learning and applying new techniques
• Clear Communication: ability to articulate findings and insights to a range of stakeholders

• Essentials
• Excellent, in-depth understanding of machine learning concepts and methodologies, including supervised and unsupervised learning, deep learning, classification
• Hands-on experience with natural language processing (NLP) techniques and tools
• Ability to write robust, production-grade code in Python
• Excellent communication and documentation skills. Able to explain complex technical concepts to non-technical stakeholders
• Experience taking ownership of projects from conception to deployment. Ability to transform business needs to solutions
• Nice to have
• Experience using Large Language Models in production
• High proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a plus
• Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc

• Master’s Degree in Computer Science, Mathematics, Engineering, or similar field
• 5 years experience as a Machine Learning Engineer or similar role

At Trovo Health, we’re bringing scalable superhuman support to healthcare providers. Our proprietary, clinically-backed AI coordinator acts as an extension of the care team to help enhance the patient experience, improve outcomes, and operate more efficiently.

We’re growing rapidly and are backed by Oak HC/FT – investors in leading healthcare and technology companies such as Ambience Healthcare, Devoted Health, VillageMD, CareBridge, Main Street Health, Maven Clinic, and more.

We’re headquartered in NYC and embrace a hybrid work culture.

We’re looking for experienced AI/ML Engineers to join a well funded, early stage health tech startup focused on revolutionizing the provider model and improving patient outcomes with AI. As a core member of the early engineering team, you would be responsible for data ingestion and analysis, developing data/ML pipelines and contributing broadly to product development.

Competitive target compensation (150-200k+ plus equity), strong benefits and a hybrid NYC location.

• Ingesting, structuring and analyzing a wide range of unstructured datasources
• Designing, maintaining and orchestrating data pipelines in an AWS environment for production processing and training flows
• Continuously evaluate, analyze, test and improve the quality, privacy and performance of our data systems and models
• Contribute across the product, from front-end UX and product design, to API/systems architecture and core ML development

• 3+ years of experience ingesting, analyzing and structuring a wide variety of datasources
• Production NLP or LLM experience (e.g. spacy, langchain, extensive LLM API usage)
• Significant experience building and maintaining data pipelines in a production environment
• Prior experience working in fast paced environments and tackling problems across the stack with quick iterations while maintaining a high quality bar.

• Significant MLE production or research experience - pytorch, scikit-learn, etc.
• Extensive production AWS, container and/or data orchestration experience
• Fullstack development experience (JS/TS/Node in particular)
• Demonstrated experience in similar roles in a startup or consultancy

• Direct impact on company and culture
• Hybrid work environment (HQ in Flatiron, NYC)
• Competitive salary and equity
• Generous health, vision, and dental insurance
• Flexible paid time off (unlimited vacation and sick leave)
• Life insurance
• Short & long-term Disability
• Parental leave

Trovo Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation.

1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance.

We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture , data extraction , and fraud detection , delivering high-performance models that can run on both mobile devices and cloud environments.

This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.

Key Responsibilities

• Design and implement AI models for image classification, object detection, OCR, and feature extraction.
• Develop real-time image quality assessment and capture guidance algorithms.
• Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets.
• Implement model optimization techniques for mobile (on-device) and cloud inference.
• Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data.
• Integrate ML models into production-grade APIs and mobile SDKs.
• Monitor, evaluate, and continuously improve model accuracy and performance.
• Collaborate with product and engineering teams to align AI capabilities with business goals.

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience).

• 3+ years of experience building and deploying ML models in production.
• Proficiency in Python and ML frameworks (PyTorch , TensorFlow , or similar).
• Experience with computer vision libraries (e.g., OpenCV) and OCR technologies.
• Strong understanding of deep learning architectures for image and text recognition.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and API development.
• Strong problem-solving skills and ability to work in fast-paced environments.
• Based in the NJ / NY area; Hybrid working model.

• Experience with model quantization and optimization for mobile deployment.
• Knowledge of synthetic data generation and data augmentation techniques.
• Background in security, liveness detection, or anomaly detection .
• Exposure to compliance and data privacy regulations (GDPR, CCPA).
• Contributions to open-source ML projects or published research.

• Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.

• Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC.
• Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada.
• Flexibility First: Unlimited PTO, and 2 days WFH

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The company built on breakthroughs.
Join us.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations– not once in a career, but every day. They help move our company,and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Scope of Position:
The AI/ML Advanced Data Analytics Engineer will be part of a core solution development team working with domain experts, application developers, controls engineers, data engineers and data scientists. Their primary responsibility will be to design and develop solutions to automate data access, data visualization and develop machine learning models. These systems & solutions will span both cloud and on-premises environments and will require close collaboration with many technical teams to ensure success.

Responsibilities:
• Develop and implement AI/ML data science methodologies and AI Products that align with business objectives.
• Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve manufacturing and business problems
• Collaborate with data scientists, process engineers, and controls engineers to understand and automate data operations like transformation and normalization. Design monitoring systems to ensure the models perform well.
• Generate documentation on data analytics pipelines and processes.
• Participate in advanced data analytics COPs (communities of practice) to spread knowledge and drive governance and reusability of data analytics topics.
• Leverage tools such as Databricks and AWS Datasync to manage data, build models, and deploy solutions.
• Stay abreast of the latest data science and AI/ML trends and technologies, identifying opportunities for innovation and improvement.

Education & Experience:
• Bachelor's degree in Computer Science, Statistics, Engineer or related scientific field is preferred.
• 2-4 years of relevant technical experience in a manufacturing environment.

Required Skills:
• Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.
• Demonstrated programming proficiency in Python and .NET/C#

Desired skills:
• Understand concepts of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments
• Familiarity with tools such as Databricks and AWS platform services.
• Ability to Communicate well with users, other technical team to collect requirements, describe data modeling decisions.
• Cultural bias towards continual learning, sharing best practice, encouraging, and elevating less experienced colleagues as they learn

Travel Requirements:
• Domestic travel up to 25%.

Work Schedule:
• Typically, 40 hours/week but could be more depending on project requirements.
• Night and/or weekend work is possible.

This position does not support immigration sponsorship.

The range for this position is$83,750.00-$115,156.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

A job that shapes a life.

Corning offers you the total package.

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial, and career from day one

• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career. We also offer a 401(k) savings plan with company matching contributions.
• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs.
• Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well – when Corning wins, we all win.
• Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors.

We prohibit discrimination on the basis ofrace, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at .

Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation.

1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance.

We are looking for anAI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involvingimage capture ,data extraction , andfraud detection , delivering high-performance models that can run on both mobile devices and cloud environments.

This role blendsR&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization.

Key Responsibilities

• Design and implementAI models for image classification, object detection, OCR, and feature extraction.
• Develop real-timeimage quality assessment and capture guidance algorithms.
• Create and maintaindata pipelines for collecting, cleaning, augmenting, and labeling datasets.
• Implementmodel optimization techniques for mobile (on-device) and cloud inference.
• Applyfraud detection methods to identify tampering, forgeries, or replay attacks in visual data.
• Integrate ML models intoproduction-grade APIs and mobile SDKs.
• Monitor, evaluate, and continuously improve model accuracy and performance.
• Collaborate with product and engineering teams to align AI capabilities with business goals.

• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience).

• 3+ years of experience building and deploying ML models in production.
• Proficiency inPython and ML frameworks (PyTorch ,TensorFlow , or similar).
• Experience withcomputer vision libraries (e.g., OpenCV) and OCR technologies.
• Strong understanding ofdeep learning architectures for image and text recognition.
• Familiarity withcloud platforms (AWS, GCP, or Azure) and API development.
• Strong problem-solving skills and ability to work in fast-paced environments.
• Based in the NJ / NY area; Hybrid working model.

• Experience withmodel quantization and optimization for mobile deployment.
• Knowledge ofsynthetic data generation and data augmentation techniques.
• Background insecurity, liveness detection, or anomaly detection .
• Exposure to compliance and data privacy regulations (GDPR, CCPA).
• Contributions toopen-source ML projects or published research.

• Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems.

• Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC.
• Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada.
• Flexibility First: Unlimited PTO, and 2 days WFH

Overview

AI/Machine Learning Engineer role at Corning Incorporated. Corning is a leader in glass, ceramic, and materials science with opportunities to impact a wide range of industries.

The AI/ML Advanced Data Analytics Engineer will be part of a core solution development team working with domain experts, application developers, controls engineers, data engineers and data scientists. Their primary responsibility will be to design and develop solutions to automate data access, data visualization and develop machine learning models. These systems & solutions will span both cloud and on-premises environments and will require close collaboration with many technical teams to ensure success.

• Develop and implement AI/ML data science methodologies and AI products that align with business objectives.
• Apply data science techniques, such as machine learning, statistical modeling, and artificial intelligence to solve manufacturing and business problems.
• Collaborate with data scientists, process engineers, and controls engineers to understand and automate data operations like transformation and normalization. Design monitoring systems to ensure the models perform well.
• Generate documentation on data analytics pipelines and processes.
• Participate in advanced data analytics COPs (communities of practice) to spread knowledge and drive governance and reusability of data analytics topics.
• Leverage tools such as Databricks and AWS Datasync to manage data, build models, and deploy solutions.
• Stay abreast of the latest data science and AI/ML trends and technologies, identifying opportunities for innovation and improvement.

• Bachelor's degree in Computer Science, Statistics, Engineering or related scientific field is preferred.
• 2-4 years of relevant technical experience in a manufacturing environment.

• Strong understanding of machine learning algorithms, data analysis, and statistical modeling techniques.
• Demonstrated programming proficiency in Python and .NET/C#

• Understanding of big data engineering, ETL and ELT pipelines for data warehousing, on-premise and cloud data lake environments.
• Familiarity with tools such as Databricks and AWS platform services.
• Ability to communicate well with users and other technical teams to collect requirements and describe data modeling decisions.
• Continuous learning mindset and willingness to share best practices and elevate colleagues.

• Domestic travel up to 25%.

• Typically, 40 hours/week but could be more depending on project requirements.
• Night and/or weekend work is possible.

This position does not support immigration sponsorship.

The salary range is $83,750.00 - $115,156.00 for full-time status. Starting pay is dependent on factors including geographic location, experience, and education. Benefits may include medical, dental, vision, 401(k), pension, life insurance, disability benefits, and PTO, depending on hours worked.

A job that shapes a life. Corning offers a total package focused on health, wellness, and career development. Benefits may include a company-paid pension, 401(k) matching, comprehensive health coverage, parental leave, family-building support, fitness programs, life insurance, disability coverage, and recognition programs.

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status. Reasonable accommodations for applicants with disabilities are available upon request at

Referrals increase your chances of interviewing at Corning Incorporated.