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Machine Learning Quantum Computing Jobs in North Carolina

Quantum Algorithm Developer Expert

Concord, NC · On-site +1

$17.75 - $23/hr

... Machine Learning (ML), Quantum Computing, Quantum Hardware, Researching Compensation Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and ...

... AI and machine learning. * Experience with agentic technologies and their applications ... as blockchain and quantum computing. * Optimize and fine-tune AI models for performance ...

Summary of Position The Machine Learning effort is part of the Data Science team at Teladoc Health ... Build and optimize scalable Spark and Databricks workloads, leveraging distributed computing best ...

NC State students 'think and do' with active learning on real-life problems across the entire ISE ... Develop and maintain an externally funded research program in AI, Quantum Computing, Optimization ...

Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure. Experience handling terabyte size datasets, diving into data ...

Overall 8 to 10 years of solid experience in the areas of data engineering machine learning data ... computing frameworks such as Spark Kubernetes ecosystem etc 4 to 6 years of experience with CICD ...

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Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What are popular job titles related to Machine Learning Quantum Computing jobs in North Carolina?

For Machine Learning Quantum Computing jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in North Carolina look for?

The top searched job categories for Machine Learning Quantum Computing jobs in North Carolina are:

What cities in North Carolina are hiring for Machine Learning Quantum Computing jobs?

Cities in North Carolina with the most Machine Learning Quantum Computing job openings:

Quantum Algorithm Developer Expert

Allstate

Concord, NC • On-site, Remote

$17.75 - $23/hr

Full-time

Re-posted 7 days ago


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Company rating: 7.5 out of 10

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Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

In the Quantum Algorithm Developer Expert role, you will contribute to the development and evaluation of quantum computing algorithmic solutions to problems with a future potential in the insurances industry. You will also be part of bootstrapping classical-compute solutions that can provide early business value for these problems and are precursors to the later quantum solutions. The work ranges from curating the problems at the start to estimating the potential benefit of future, scaled-up versions based on small-scale experimental evidence at the end. You'll also contribute to the collaboration with external partners from industry and academia.Key Responsibilities

Collaborate within the team and with external partners from industry and academia to review results and justify selected algorithmic solutions

Contribute to quantum computing algorithm development and exploration a technical competency

Identify, research and realize key advances in the relevant areas of quantum computing

Analyze algorithm performance through and simulations on classical hardware and experiments on diverse quantum hardware

Develop classical-compute reference solutions and implement these solutions to provide early business value

Distill scaling properties of algorithm candidates and evaluate potential for quantum advantage

Curate exemplary problems with relevancy to the insurance space and potential for quantum advantage

Apply, adapt, and derive algorithms solving the curated problems

Experience

7 or more years of experience (Preferred)

Supervisory Responsibilities

This job does not have supervisory duties.

#LI-TE1

Skills

Algorithm Development, Algorithms, Collaboration, External Partners, Machine Learning (ML), Quantum Computing, Quantum Hardware, Researching

Compensation

Compensation offered for this role is 151,700.00 - 221,675.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.


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