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Machine Learning Quantum Computing Jobs in Highland, IN

York Solutions, LLC

AI/ML Scientist

Chicago, IL

This individual will be critical in developing and implementing novel machine learning algorithms ... Experience with cloud computing platforms (e.g., AWS, Azure, GCP). * Experience with medical ...

J.P. Morgan

Applied AI/ML Senior Associate

Chicago, IL · On-site

$60K - $61K/yr

Solid Understanding of algorithms in machine learning, AI, and neural network, including Large ... Cloud computing: â¯Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.

J.P. Morgan

Applied AI/ML Lead

Chicago, IL

Solid Understanding of algorithms in machine learning, AI, and neural network, including Large ... Cloud computing:  Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Highland, IN

Machine Learning Quantum Computing information

See Highland, IN salary details

$23.5K

$39.3K

$81.2K

How much do machine learning quantum computing jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning quantum computing in Highland, IN is $39,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,400.00 per year, depending on experience, location, and employer.

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, and why are they important?

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.
Machine Learning Quantum Computing jobs near you
AI/ML Scientist

AI/ML Scientist

York Solutions, LLC

Chicago, IL

Full-time, Contractor

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Job description

Description Location: onsite 5 days/week in Willis Tower, downtown Chicago

***At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We thank you for your understanding.***

Contract to Hire

Job Summary

We seek a highly talented and passionate AI/ML Scientist to join our Product-focused AI team. This individual will be critical in developing and implementing novel machine learning algorithms to enhance our medical device offerings and explore new opportunities in Software as a Medical Device (SaMD). This individual contributor (IC) role focused on deep technical expertise and hands‑on algorithm development, working closely with other scientists and engineers within the team. The ideal candidate will have a strong theoretical foundation in machine learning and a proven ability to translate research into practical applications.

Key Responsibilities
  • Design, develop, and implement advanced machine learning algorithms for medical device applications, including but not limited to: image and signal processing, predictive modeling, anomaly detection, and natural language processing.
  • Research state-of-the-art AI/ML techniques and evaluate their applicability to our medical device challenges.
  • Develop and maintain clean, well‑documented, and testable code.
  • Collaborate with other AI scientists and engineers to share knowledge and best practices.
  • Work with cross‑functional teams (e.g., R&D, product development, regulatory affairs) to understand project requirements and integrate AI solutions.
  • Proactively identify opportunities to leverage AI to improve existing medical devices and explore new SaMD applications.
  • Stay up-to-date with the latest advancements in AI, machine learning, and relevant medical device regulations (e.g., FDA guidelines, HIPAA).
  • Contribute to the development of proof‑of‑concept AI solutions for medical devices.
  • Work within an Agile/Scrum framework to manage development iterations and sprints.
  • Present research findings and project updates to technical and non‑technical audiences.
Requirements
  • PhD in Computer Science, Electrical Engineering, Data Science, Statistics, Biomedical Engineering, or a related field with a strong focus on machine learning; OR
  • Master's degree in one of the above fields with 1-2 years of relevant industry experience developing and deploying machine learning models.
  • Strong theoretical understanding of machine learning algorithms and principles (e.g., supervised/unsupervised, deep learning, reinforcement learning, statistical modeling).
  • Proficiency in programming languages commonly used in AI/ML development (e.g., Python).
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit‑learn).
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Excellent problem‑solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Awareness of medical device regulations and standards.
  • Must be based in Chicago, IL, and work in an office setting.
  • Travel approximately 10% of the time.
Highly Desired
  • Prior experience with Software as a Medical Device (SaMD) development.
  • Publications in top-tier AI/ML conferences or journals.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
  • Experience with medical imaging or signal processing.
  • Prior experience working in the life sciences industry (e.g., medical devices, pharmaceuticals) or a technology company specializing in software/ML algorithm development.
  • Demonstrated experience in coordinating and managing technical projects.
  • Familiarity with Scrum and Agile development methodologies.
Benefits

York Solutions Offers a generous benefits package for eligible full‑time employees:

  • BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)
  • Delta Dental plan with 2 free cleanings and insurance discounts
  • Eye Med Vision with annual check‑ups and discounts on lens
  • Life and Accidental Death Insurance paid by company
  • John Hancock 401(k) Retirement Plan with discretionary company match
  • Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance.
  • Flexible work environment with some remote working opportunities
  • Strong fun and teamwork environment
  • Learning, development, and career growth
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