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Machine Learning Quantum Computing Jobs in Rhode Island

Sr Machine Learning Engineer

Woonsocket, RI · On-site +1

$130K - $203K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and Developing and deploying predictive models or ML systems in a ...

... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction ... vector spaces, computing determinants of large matrices, and grasping the significance of ...

The ideal candidate combines strong machine learning expertise with a background in immunology ... Experience with cloud computing and high-performance data infrastructure Technical Skills:

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

Oracle;Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design;Quantitative analysis techniques, including clustering ...

Python Tutor

Providence, RI · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Decision Scientist

Woonsocket, RI · On-site +1

$98K - $144K/yr

Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure;End-to-end data science lifecycle/workflow; andHealthcare data management ...

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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, 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.
What are popular job titles related to Machine Learning Quantum Computing jobs in Rhode Island? For Machine Learning Quantum Computing jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Rhode Island look for? The top searched job categories for Machine Learning Quantum Computing jobs in Rhode Island are:
What cities in Rhode Island are hiring for Machine Learning Quantum Computing jobs? Cities in Rhode Island with the most Machine Learning Quantum Computing job openings:
Infographic showing various Machine Learning Quantum Computing job openings in Rhode Island as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Sr Machine Learning Engineer

Sr Machine Learning Engineer

CVS Health

Woonsocket, RI • On-site, Remote

$130K - $203K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,274 frontline employees who took The Breakroom Quiz

80th of 103 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary: CVS Shared Services Resources LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr Machine Learning Engineer to design and implement ML solutions that automate pharmacy operations and improve patient care outcomes. Partner directly with retail pharmacy stakeholders to identify automation opportunities and define ML solution requirements. Conduct feasibility analysis using Snowflake data warehouse to assess data availability and quality for proposed ML initiatives. Present technical findings and recommendations to business teams, translating complex ML concepts into actionable insights. Lead requirements gathering sessions with Lead Data Scientist to scope pharmacy-specific ML projects. Design and develop ML models for pharmacy growth and operations to drive incremental scripts and operational efficiencies. Build and optimize feature engineering pipelines for pharmacy-specific use cases. Implement diverse ML approaches including deep learning (LSTM, GRU, BERT, Transformers), gradient boosting (XGBoost, LightGBM), neural networks, ensemble methods, anomaly detection algorithms, and reinforcement learning for sequential decision-making. Leverage AutoML platforms for rapid prototyping and baseline model development. Conduct model evaluation and selection through systematic experimentation in Jupyter notebooks. Develop and maintain Kubeflow pipelines for model training and deployment workflows. Deploy models to development and testing environments on Azure cloud infrastructure. Support potential migration from Azure to GCP and adoption of Model Garden framework. Collaborate with Data Engineering team on infrastructure requirements and data pipeline dependencies. Document technical specifications and model performance metrics. Ensure compliance with healthcare data regulations and pharmacy safety standards. Telecommuting available. Multiple Positions.
Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, Engineering, or a related field and two (2) years of experience in the job offered or related occupation. Requires two (2) years of experience in each of the following:
CI/CD, Jenkins, GIT, and DevOps;
JavaScript; Python, and Node.js;
Docker or Kubernetes;
R, Spark, and PyData ecosystem;
Domain support for healthcare or retail organization;
Developing backend services, performing code reviews, and collaborating with peers on software development solutions;
Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation;
Quantitative analysis techniques, including clustering, regression, and pattern recognition;
Designing data architectures, including data pipelines, distributed computing engines, and machine learning infrastructure design; and
Developing and deploying predictive models or ML systems in a cloud environment (GCP, AWS, or Azure).
Pay Range: $130832.00/year to $203940.00/year.

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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