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Internship Ibm Quantum Machine Learning Jobs in Kentucky

$108 - $148/hr

Work Experience: 2+ years of experience in AI, machine learning, or automation projects (internships or academic projects welcome). * Hands-on experience with Python and ML libraries such as scikit ...

Posted today

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

Linear Algebra Tutor

Lexington, KY · Remote

$18 - $40/hr

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

$146 - $209/hr

IonQ's quantum computing services are available through all major cloud providers, while we also ... Train and qualify operators on packaging equipment and processes, and translate practical learning ...

New

$87 - $144/hr

Associates are able to focus on key data, machine learning, and analytical competencies during the ... Candidates must have participated in and completed a Cigna Group internship prior to applying for ...

Posted today

Description Find YOUR fit at Ohio Cat (A Division of Ohio Machinery Co.)! Join a winning culture ... Must have a strong capacity for learning and be career oriented. * Ability to work individually or ...

$150 - $250/hr

... AWS, Google, IBM, and Oracle * Experience with OS: Centos7, RockyLinux8 * Experience with ... Demonstrated experience developing Machine Learning Operations (MLOps) pipelines for large scale ...

Posted today

Showing results 41-60

Internship Ibm Quantum Machine Learning information

What is an IBM Quantum Machine Learning internship?

An IBM Quantum Machine Learning Internship is a temporary position for students or recent graduates to work alongside IBM researchers and engineers on projects at the intersection of quantum computing and machine learning. Interns typically contribute to developing algorithms, running experiments on real quantum hardware, and advancing the understanding of how quantum computers can enhance machine learning tasks. The internship provides hands-on experience with IBM's quantum technologies, including Qiskit, and offers opportunities to collaborate with leading experts in the field. Applicants generally need a background in computer science, physics, mathematics, or related fields, and some familiarity with quantum computing concepts.

What kinds of projects or tasks can interns expect to work on during an IBM Quantum Machine Learning internship?

During an IBM Quantum Machine Learning internship, interns often collaborate with research scientists and engineers on projects that explore the intersection of quantum computing and machine learning. Typical responsibilities include implementing quantum algorithms, analyzing experimental data, developing proof-of-concept applications, and contributing to open-source software or research publications. Interns may also participate in team meetings, technical discussions, and code reviews, gaining exposure to cutting-edge quantum technologies and professional research environments. This hands-on experience provides valuable insight into both academic and industry applications of quantum machine learning.

What are the key skills and qualifications needed to thrive as an IBM Quantum Machine Learning intern?

To excel as an IBM Quantum Machine Learning Intern, you typically need a background in computer science, physics, or a related field, with strong programming skills (Python) and foundational knowledge in quantum computing and machine learning. Familiarity with quantum programming frameworks such as Qiskit, as well as experience with machine learning libraries like TensorFlow or PyTorch, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top candidates in this role. These competencies enable interns to contribute meaningfully to research projects, collaborate with interdisciplinary teams, and adapt to rapidly evolving technologies in quantum computing.

What is the difference between Internship Ibm Quantum Machine Learning vs Data Science Intern?

AspectInternship Ibm Quantum Machine LearningData Science Intern
Required CredentialsBasic knowledge of quantum computing, programming, and machine learningBackground in statistics, programming, and data analysis
Work EnvironmentResearch-focused, technology-driven, often in labs or R&D teamsBusiness or research settings, analyzing large datasets
Industry UsageEmerging field within tech and research sectorsWidely used across industries like finance, healthcare, and tech
Search & Comparison IntentUnderstanding quantum ML internship opportunitiesExploring data science internship roles

Internship Ibm Quantum Machine Learning focuses on applying quantum computing techniques to machine learning problems, often requiring knowledge of quantum algorithms and programming. In contrast, Data Science Internships involve analyzing data, building models, and deriving insights using traditional data analysis tools. Both roles are research-oriented but differ in technical focus and industry application.

What are popular job titles related to Internship Ibm Quantum Machine Learning jobs in Kentucky?

For Internship Ibm Quantum Machine Learning jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Internship Ibm Quantum Machine Learning jobs in Kentucky look for?

The top searched job categories for Internship Ibm Quantum Machine Learning jobs in Kentucky are:

Data Architect Senior Staff

Lockheed Martin Corporation

Lexington, KY • On-site

$58.75 - $78.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 392 frontline employees who took The Breakroom Quiz

41st of 72 rated aerospace companies


Job description


Lockheed Martin is seeking a seasoned Data Architect, Team Lead to act as a servant leader for a high performing data management team. In this role you will define, design, and govern enterprise wide data solutions, ensure compliance with DoD/SOFSA policies, and serve as the central point of contact for all data related support requests. You will partner with data stewards, program managers, and the Data Governance Council to deliver secure, high quality data that drives mission critical decision making.
Key Responsibilities
Leadership
Model servant leadership; coach the team, conduct peer reviews of technical artifacts, and promote autonomy without micromanagement.
Report directly to the Data Program Manager and contribute to strategic road maps.
Architecture & Design
Define physical/virtual data structures, security, backup & recovery specifications.
Create and maintain conceptual, logical, and physical data models; develop ETL, reporting, and analytics pipelines.
Select, configure, and operate the enterprise Data Management Platform (e.g., IBM Cloud Pak for Data) in line with DoD/SOFSA IT standards.
Data Governance & Quality
Enforce formal data standard processes; maintain the metadata registry and data dictionary.
Establish, track, and report KPIs for data quality, accessibility, security, and ROI.
Design and maintain automated validation rules; execute data quality checks (automated & manual) and cleansing activities.
Service & Support
Serve as the primary liaison for data related tickets; ensure timely resolution through the Service Delivery System (IT Ticket System).
Provide Level 2 support for data queries and Service Level Agreement (SLA) compliance.
Delegate complex issues to the Data Management team as needed.
Stakeholder Collaboration
Partner with department data stewards to capture comprehensive data sets and document collection processes.
Present performance metrics via SAP BusinessObjects dashboards to the Data Governance Council.
Lead the Data Management Working Group and define data steward responsibilities and reporting structures.
Security & Compliance
Implement data security safeguards (encryption, monitoring, access control) and ensure alignment with cybersecurity policies.
Maintain an auditable configuration management baseline for all data dictionary changes.
Advanced Analytics & Modeling - Typical Duties
Analyze data to extract insights and uncover actionable findings by combining the scientific method, mathematics, statistics, specialized programming, advanced analytics, AI, and storytelling.
Conduct hypothesis testing and statistical analysis of data sources to provide actionable recommendations.
Build predictive, prescriptive, or descriptive models in collaboration with stakeholders.
Plan and execute complex analytical, mathematical, and statistical research that informs operational requirements.
Design and run advanced studies using data modeling techniques, trend analysis, and custom algorithms.
Program custom algorithms and train/evaluate machine learning models; write and document reproducible code.
Utilize open source languages and quantitative techniques (e.g., descriptive & inferential statistics, sampling, experimental design, parametric & non parametric tests, OLS regression, generalized linear models).
Assist integrated project teams in identifying, curating, and managing test data.
Apply DoD/best practice cybersecurity principles, addressing cyber threats and vulnerabilities to deliver secure solutions.
Basic Qualifications
Generally has 8+ years of related experience and may have a post-secondary degree or training in a related discipline.
Bachelor's degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or a related field (Master's preferred).
Designing solutions that consider computer networking concepts, protocols, network security methodologies, cyber threats, vulnerabilities, and overall cybersecurity principles.
Experience with data administration and data standardization policies and standards.
Applying data mining, data warehousing, machine learning, and artificial intelligence theory/principles.
Demonstrated understanding of network access, identity, and access management (e.g., public key infrastructure [PKI]).
Strong knowledge of programming language structures/logic and query languages such as SQL and object oriented design.
Familiarity with secure coding techniques.
Developing or recommending analytic approaches for problems with incomplete information or no precedent.
Use of outlier identification and removal techniques.
Implementing data labeling governance to improve discoverability and understandability.
Understanding and selecting appropriate cloud deployment models (private, public, hybrid) and the differences between on premises and off premises environments.
Experience in utilizing the Agile Methodology approach to systems development.
Strong communication and leadership skills
Desired skills
IBM Cloud Pak for Data (CP4D) - Advanced
Oracle / SQL Server - Advanced (schema design, performance tuning)
Microsoft Power BI Report Server - Proficient
Deltek COBRA - Working knowledge
Microsoft SharePoint - Working knowledge
SAP - Working knowledge
Teamcenter - Working knowledge
Scripting (Python, PowerShell) - Basic to intermediate
Data modeling & metadata management tools - Advanced
ETL/ELT design (e.g., Informatica, Talend) - Preferred
Data Mesh Architecture - Familiarity
Analytical Database creation - Experience preferred
EEO
Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
*
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.
With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.
If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Other Important Information
By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to work remotely
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedule Information
Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
National Pay Statement
Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $145,200 - $255,990. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
This position is incentive plan eligible.
Premium Pay Statement
Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $167,000 - $289,340. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.

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About Lockheed Martin

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As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912