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Quantum Machine Learning Engineer Jobs in Alaska

Automation Technician

Prudhoe Bay, AK · On-site

$47K/yr

Know how to deploy machine learning algorithms and gain insights from them. * Project Management / Project Engineering * Manage Internal and External resources to optimize field work processes, field ...

Senior and Applied/Agentic AI Engineer

Minto, AK · On-site

$108K - $148K/yr

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. 7-10+ years of experience in AI engineering, machine learning systems ...

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

Learning & Development Opportunities * Inclusive and Diverse Team Environment Benefits may vary for ... large machinery, variations in temperature, noise, odors, humidity, lint and dust, in general ...

Learning & Development Opportunities * Inclusive and Diverse Team Environment Benefits may vary for ... large machinery, variations in temperature, noise, odors, humidity, lint and dust, in general ...

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Quantum Machine Learning Engineer information

See Alaska salary details

$33.9K

$138.7K

$208.4K

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

As of Jul 9, 2026, the average yearly pay for quantum machine learning engineer in Alaska is $138,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $166,900.00 per year, depending on experience, location, and employer.

What is the salary of quantum machine learning engineer?

The salary of a quantum machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in quantum algorithms and programming languages like Python or Qiskit may offer higher compensation. Many positions also include benefits such as research opportunities and access to advanced quantum computing tools.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum hardware. The field is emerging, with high demand for specialized skills in quantum algorithms, programming languages like Qiskit, and understanding of both quantum physics and data science. Careers in this area can be rewarding but often require advanced education and continuous learning due to rapid technological advancements.

What is a Quantum Machine Learning Engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

Will MLE be replaced by AI?

Quantum Machine Learning Engineers work at the intersection of quantum computing and machine learning, developing algorithms that leverage quantum systems. While AI continues to advance, quantum computing is expected to complement classical machine learning rather than replace it entirely, and MLE roles will evolve to incorporate new quantum techniques and tools. Continuous learning in both quantum algorithms and machine learning is essential for professionals in this field.

How do Quantum Machine Learning Engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

What are the key skills and qualifications needed to thrive as a Quantum Machine Learning Engineer, and why are they important?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Alaska? For Quantum Machine Learning Engineer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Alaska look for? The top searched job categories for Quantum Machine Learning Engineer jobs in Alaska are:
What cities in Alaska are hiring for Quantum Machine Learning Engineer jobs? Cities in Alaska with the most Quantum Machine Learning Engineer job openings:
Automation Technician

Automation Technician

Glacier Services Inc.

Prudhoe Bay, AK • On-site

$47K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Summary:
Assist with technical work in the administration, maintenance, and operation of SCADA and computerized distributed control systems with an emphasis on industrial data management and data engineering/analytics.
Essential Functions include, but are not limited to: (Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.)
  • Industrial Information Management
  • Experience with AVEVA OSIsoft PI and GE Proficy Historian
  • Experience with GE iFix SCADA Software
  • System configuration / Prod historian configuration
  • Asset Framework models configuration and maintenance
  • Data Engineering / Analytics
  • Creates data pipelines and data integrations in databases, data warehouses and data lakes working with various cloud and on-premises technologies
  • Skilled at data movement (PCN to DMZ/Cloud), consolidating and cleansing the data
  • Project Management / Project Engineering
    • Coordinate and participate in the design, development and administration of standards and documentation for all SCADA configuration databases, applications programming, and core SCADA functions. Enforce adherence to corporate SCADA standards
    • Solid understanding of desktop computers, printers, and general office applications
  • SCADA Engineering
  • Working knowledge of SCADA architecture design including control, measurement and safety systems for oil and gas production and pipeline facilities
  • Working knowledge of OT Cybersecurity
  • Industrial Information Management
    • AVEVA OSIsoft PI architecture design and PI Interface connector configuration
    • GE Proficy Historian architecture design and PI Interface connector configuration
    • GE iFix architecture and data configuration
    • System Upgrades, OS patching, user training
  • Data Engineering / Analytics
    • Able to use programming languages such as C#, Java, Python, R, Ruby, Scala and SQL to provide end-to-end data collection, intake and processing.
    • Able to use a cloud environment / architecture to structure and organize data for use in specific analytics applications.
    • Able to prepare data for machine learning platforms. Know how to deploy machine learning algorithms and gain insights from them.
  • Project Management / Project Engineering
    • Manage Internal and External resources to optimize field work processes, field process control and safety systems.
    • Work with field Technicians to troubleshoot and diagnose SCADA related problems.
    • Mentor and help train junior level staff through training and review of their work plans and system installs.
  • SCADA Engineering
    • OT Cybersecurity certification preferred
    • Conduct feasibility studies, conduct site surveys and develop recommendations and cost estimates for the installation of new SCADA systems or for the upgrade of existing systems.
    • Working knowledge of Process Safety
    • Keep abreast of new SCADA related developments and technology in areas such as equipment, software, governmental regulations, advanced business applications, alternate site business recovery and communications.
  • OT Network Engineering
    • Experience implementing networking solutions in industrial and automation environments
    • Experience with OT / Industrial networking solutions including routing and switching protocols
    • Set up and maintain computer and controller networks using Ethernet, Modbus, Profibus, Device Net, HART and Control Net
    • Experience with implementing and maintaining OT Network Monitoring and Anomaly Detection systems
  • Automation Engineering
    • Familiar, or ability to learn, to develop new and modify existing HMI, PLC, and DCS systems (AVEVA, GE iFix, Rockwell, GE/Emerson, Modicon, Honeywell Experion, ABB 800xA)
  • Troubleshoot and diagnose problems with Siemens, Rockwell and Danfoss Soft Starters and Variable Frequency Drives.
  • Troubleshooting Rockwell ControllLogix hardware and configuration.

Qualifications:
  • Five (5) or more years of SCADA or automation experience, preferably in the oil and gas industry, with a special emphasis in Data Engineering, Data Analytics, Industrial Databases, and programming.
  • Strong interpersonal skills to effectively communicate with individuals at all levels of the company.
  • Strong ability in diagnosing and solving SCADA problems with patience, professionalism, and courtesy.
  • Working knowledge and understanding of SCADA system setup and maintenance with regard to administration, programming, database administration, telemetry, and RTU input management understanding of the technology related to SCADA design and maintenance of a SCADA system.
  • Ability to establish priorities, meet deadlines, and concentrate on detailed information in a fast-paced and demanding work environment.
  • Good written and verbal communication skills, with specific ability to translate complex computer/information systems information into an organized and presentable manner.
  • Ability to complete multiple, diverse tasks of differing priorities.
  • Proficiency in the use and application of the following software: OSIsoft PI Historian
  • Proficiency in the use and application of the following software: GE Proficy Historian
  • Proficiency in the use and application of the following software: GE iFix

Education Requirements:
  • Preferred: Bachelor's Degree from an accredited four-year university or college with a degree in engineering.
  • Considered: Computer Science or technical AA degree with 7+ years of relevant experience.

Office Location and Travel:
This position is located on the North Slope of Alaska at Milne Point, on a 2 weeks on/2 weeks off rotation. Travel from Anchorage to Prudhoe Bay is provided.
Benefits:
We offer a comprehensive benefits package including medical, prescription, dental, vision, life insurance, and disability plans effective during your employment. In addition, you will be eligible to participate in our 401(k) savings plan and accrue paid time off, among other benefits.
Working Environment & Conditions
This position is primarily indoors, consistent with a standard office position and has a noise level of mostly low to moderate.
Our Equal Opportunity Policy: EOE Minorities/Female/Protected Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352.