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Machine Learning Quantum Computing Jobs in Portland, OR

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

Computer Vision Machine Learning and Deep Learning Statistical Modeling and Experimental Design Image Processing and Pattern Recognition Proficiency C/C++ , in Python and scientific computing ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... computing, machine learning, and emerging technologies; communicate effectively with cross-functional teams, building trust and strong relationships across the organization. Telecommuting is ...

Work with clients to design, develop, and deploy new architectures to support machine learning ... using cloud computing or on-prem technologies * Design and lead development on scalable, high ...

Machine Learning * Python, C#, Java, JavaScript, C++ * Cloud Computing (Azure, AWS, GCP) * Image Science and Document Intelligence * Software Architecture and System Integration Professional Skills

Experience with machine learning systems, including model training, evaluation, inference, and use ... Strong understanding of system design, distributed computing, performance optimization, security ...

Python Tutor

Portland, OR · Remote

$40/hr

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

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Machine Learning Quantum Computing information

See Portland, OR salary details

$27K

$45.2K

$93.3K

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

As of Sep 11, 2026, the average yearly pay for machine learning quantum computing in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Machine Learning Quantum Computing jobs in Portland, OR?

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

What job categories do people searching Machine Learning Quantum Computing jobs in Portland, OR look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Portland, OR are:

Customer Success Physicist- Portland

Portland, OR • On-site, Remote

Full-time

Posted 3 days ago

New


Job description

Description
Quantum Machines (QM) is a global leader in quantum computing control systems. Through our pioneering hardware and software solutions based on instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. As we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technologies.
We're seeking an exceptional experimental Physicist who combines deep quantum physics expertise with strong interpersonal skills. In this role, you'll serve as the technical bridge between QM's technology and our customers, ensuring successful implementation, adoption, and continuous utilization of our solutions. This unique position offers unprecedented exposure to diverse qubit types and quantum architectures, enabling you to help customers navigate and implement groundbreaking experiments. You'll be translating emerging capabilities into practical customer applications, directly contributing to the acceleration of quantum computing development.
Responsibilities:
  • Lead technical implementation and integration of QM solutions for customers
  • Collaborate with R&D teams to optimize solution delivery and product improvements
  • Provide technical guidance on best practices for quantum control systems
  • Manage technical relationships with your accounts
  • Translate complex customer requirements into actionable technical solutions
  • Work closely with customers to achieve their quantum computing research objectives

Requirements
  • 4+ years of experimental quantum information science and computing
  • Demonstrated experience in Python programming
  • Excellence in technical communication and interpersonal skills
  • Willingness to travel for customer engagement