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Machine Learning Quantum Computing Jobs in Denver, CO

AI/ML Engineer III

Englewood, CO · On-site

$165.31 - $220.42/hr

Expertise in deep learning, reinforcement learning, generative AI, and production machine learning systems * Experience within aerospace and defense, MLOps, autonomous systems, GPU computing, and ...

Computer Scientist, Mid

Aurora, CO · On-site

$77K - $176K/yr

... and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL * 2+ years of experience with Machine Learning, AI or NLP * Experience with visualization packages ...

Showing results 41-60

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 Sep 5, 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 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 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:

Machine Learning Engineer (SmartBidder)

Integratedcooling

Boulder, CO • On-site

$100 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Machine Learning Engineer (SmartBidder), Boulder, CO (Hybrid or Remote)

This position will be a key member supporting Ascend Analytics’ SmartBidder team, which works on optimization and management of energy storage and renewable assets. You will be part of a collaborative team advancing software solutions and analytics to support the clean-tech power revolution. Your strong data science skills will support mission critical decision analytics for renewable and battery storage power providers around the globe.


Our Mission @ Ascend

At Ascend Analytics, our mission centers on creating sustainable economic value for energy buyers and producers to transform the power industry. Our team combines advanced analytics, cloud-based technology, and deep market expertise to help our clients solve complex challenges across grid reliability, power market volatility, renewable integration, infrastructure development, and energy investment strategy. As a high-growth, private equity–backed company, Ascend continues to expand its market leadership while investing in innovation, talent, and scalable solutions for an increasingly dynamic energy market.


Your Impact @ Ascend

Real influence. Real outcomes. At every level.



  • High-impact work. Shape the tools and decisions that drive the clean energy transition.

  • Direct exposure. Work alongside executive leadership and key utility and corporate clients.

  • Room to grow. A rapidly scaling SaaS business with real advancement opportunities.

  • Collaborative culture. A team that values creative thought, inclusion, and work-life balance.


Key Responsibilities

  • Prototype and experiment with novel machine learning models and mathematical/statistical algorithms for short term energy market forecasting.

  • Optimize and enhance computational efficiency of algorithms and software design.

  • Work with our team of analysts to integrate new features, evaluate performance, automate, and generalize data science models within production software.

  • Design and write clean, scalable, production code in Python.

  • Implement systems for collecting, storing, and working with data at scale.

  • Communicate clearly and effectively (orally and in writing) with both technical and nontechnical stakeholders.

  • This position involves working collaboratively both within your software team and outside with the analyst team.

  • The software development team follows an agile scrum process, and all team members are expected to contribute to technical design reviews, implementation strategies, operational system support, and sprint planning.


Key Qualifications
Required

  • 2+ Years experience in a highly related role.

  • BS or MS in Engineering, Computer Science, Data/Information Science, Physics, Applied Mathematics, Signal Processing, Operations Research, Statistics, Economics, or Power Systems (or related fields).

  • Experience performing independent researchincluding reading academic papers, developing and testing hypotheses, and analyzing experimental results.

  • Demonstrated academic or professional software coding experience in Python.

  • Familiarity with data processing in Python (including Pandas, Numpy, Sympy, Scikit-Learn) and machine learning development in Pytorch (or similar).

  • Strong interpersonal skills, a collaborative team-first mindset and results-oriented work ethic.

  • Demonstrated interest in the energy sector (e.g. coursework, professional development activities, podcasts, independent reading, etc.).

  • Ability to communicate with impact and confidence, effectively conveying ideas and influencing outcomes, both orally and in writing.


Preferred

  • Familiarity or exposure to cloud computing platforms and ecosystems, e.g., Azure, AWS, and containerization, e.g., Docker.

  • Understanding of basic microeconomic principles.

  • Knowledge of wholesale electricity markets.


Our Values @ Ascend

Ascend Analytics promotes a culture of teamwork, inclusion, work-life balance, creative thought, and learned ideas. We operate by five core pillars:



  • Integrity: We act with honesty and uphold the highest ethical standards, doing the right thing even when it's difficult.



  • Purpose Driven: We are united by a shared purpose — to delivermeaningful impact for our customers, our industry, and the energytransition to a low carbon future.

  • Belonging: We foster a respectful, inclusive environment where everyone is valued, diverse perspectives are embraced, and equitable opportunities are provided for all.

  • Innovation: We anticipate and address new challenges, embracing change and continuous improvement

  • One Team Mindset: We collaborate across teams and functions, supporting one another and prioritizing shared success over individual wins.


Your Value @ Ascend

We offer competitive compensation — calibrated to your experience and structured to grow with you — along with a comprehensive benefits package:



  • Medical, dental, and vision coverage.

  • Life and disability insurance.

  • Parental leave for growing families.

  • FSA, HSA, and dependent care accounts.

  • 401(k) with 3% non-elective contribution.

  • Flexible PTO to take time when you need it.


Join a team that values your work, supports your growth, and invests in your future!


We offer a competitive salary range of $100,000–$160,000 USD Annually. Compensation is flexible and will be tailored to your experience and background — we're proud to offer pay that is often above industry average. But the perks don’t stop there — we’re committed to creating a workplace where people can do meaningful work, grow their careers, and still have a life outside the office. You’ll enjoy flexible work hours, a collaborative environment, and real opportunities for advancement.


Collaboration is in our DNA, and we thrive on the energy of working together — the spontaneous ideas, face-to-face teamwork, and culture you can only build in a room.


But we also value the focus and freedom that remote flexibility brings. That's why our Boulder, CO office runs on a hybrid schedule (3 days in-office, 2 days remote). We prefer candidates who can work from Boulder HQ, though we're open to strong remote candidates as well.


Need accommodations? Contact us at recruiting@ascendanalytics.com.


Ascend Analytics is an Equal Employment Opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees regardless of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, veteran status, disability, or genetic information.


Note: We regret that we are currently unable to offer visa sponsorship.

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