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Machine Learning Quantum Computing Jobs in Denver, CO

Machine Learning Engineer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Knowledge of edge computing and model optimization for deployment PLUG IN to CYMERTEK - And design ...

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Knowledge of edge computing and model optimization for deployment PLUG IN to CYMERTEK - And design ...

Sr Software Engineer

Boulder, CO · On-site

$106K - $145K/yr

... our Quantum Computing mission forward. At Infleqtion we embrace a startup mentality driven by ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

... our Quantum Computing mission forward. At Infleqtion we embrace a startup mentality driven by ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

Sr Software Engineer

Boulder, CO · On-site

$106K - $145K/yr

... our Quantum Computing mission forward. At Infleqtion we embrace a startup mentality driven by ... Domain-specific experience in statistics, machine learning, or AMO physics * Experience with Numpy ...

Our quantum computing services are available through all major cloud providers, while we also meet ... Partner with Centers of Excellence (COEs) across Total Rewards, Talent Acquisition, and Learning ...

... Computing Architect, HPC Infrastructure Architect, Machine Learning Architect for HPC ... Understanding of emerging HPC technologies (e.g., quantum computing) * Experience with high-speed ...

... Computing Architect, HPC Infrastructure Architect, Machine Learning Architect for HPC ... Understanding of emerging HPC technologies (e.g., quantum computing) * Experience with high-speed ...

Senior AI Engineer - SFL Scientific

Denver, CO · On-site

$107.50K - $147.70K/yr

... machine learning applications. Responsibilities : • Work with clients to design, develop, and ... cloud computing or on-prem technologies • Design and lead development on scalable, high ...

New

Lead the design and implementation of advanced machine learning, generative AI, statistical ... Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing ...

Lead Data Scientist

Englewood, CO · On-site

$117.60K - $206K/yr

Lead the design and implementation of advanced machine learning, generative AI, statistical ... Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing ...

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Machine Learning Quantum Computing information

See Denver, CO salary details

$26.2K

$43.8K

$90.6K

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

As of May 29, 2026, the average yearly pay for machine learning quantum computing in Denver, CO is $43,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,300.00 per year, depending on experience, location, and employer.

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 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 Denver, CO? For Machine Learning Quantum Computing jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Denver, CO look for? The top searched job categories for Machine Learning Quantum Computing jobs in Denver, CO are:

Research Scientist, Optical Engineering Neutral Atoms, Quantum AI

Google

Boulder, CO • On-site

Full-time

Posted 15 days ago


Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

37th of 183 rated software companies


Job description

info_outline
X The application window will be open until at least May 26, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Minimum qualifications:
  • PhD in Optics, Physics, Electrical Engineering, or equivalent practical experience.
  • Experience in the design, implementation, and characterization of optical systems.
  • One or more scientific contributions, including publications in peer-reviewed journals or presentations at quantum technology conferences.

Preferred qualifications:
  • Experience in the use of industry-standard optical and mechanical design software.
  • Knowledge of fourier optics principles.
  • Ability to collaborate effectively with hardware engineering teams on heterogeneous system integration.

About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
The full potential of quantum computing will be unlocked with a computer capable of error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
The US base salary range for this full-time position is $174,000-$252,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Design and test optical systems to enable precise neutral atom manipulation and addressing capabilities.
  • Evaluate and mitigate risks associated with relevant emerging optical technologies.
  • Establish rigorous methodologies for the characterization of optical performance and system tolerancing across various modules.
  • Engineer modular optical systems to support effective scaling of quantum systems.
  • Contribute to the scientific community through the publication and formal dissemination of research outcomes.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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