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Quantum Machine Learning Engineer Jobs in Jal, NM

Energy transfer

Equipment Technician

Kermit, TX · On-site

This position works closely with operations, engineers, specialists, and maintenance personnel in ... critical machinery performance metrics (flow rates, equipment rotating speed, temperatures, and ...

Energy Transfer

Equipment Technician

Kermit, TX · On-site

This position works closely with operations, engineers, specialists, and maintenance personnel in ... critical machinery performance metrics (flow rates, equipment rotating speed, temperatures, and ...

All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Jal, NM

Quantum Machine Learning Engineer information

See Jal, NM salary details

$32.7K

$133.5K

$200.6K

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

As of Aug 2, 2026, the average yearly pay for quantum machine learning engineer in Jal, NM is $133,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $160,700.00 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.
Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in Jal, NM as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $133,525 per year, or $64.2 per hour.

Equipment Technician

Energy Transfer Equity Lp

Kermit, TX

Other

Retirement, PTO

Posted 4 days ago

Energy Transfer rating

9.0

Company rating: 9.0 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

3rd of 86 rated oil and gas companies

Job description

Energy Transfer, recognized by Forbes as one of America's best large employers, is dedicated to responsibly and safely delivering America's energy.  We are driven to inspire our employees to create superior value for our customers, our investors, a sustainable future and giving back to the community where we have long-standing commitments to causes including MD Anderson Children's Cancer Hospital, The Salvation Army, The American Red Cross, Ronald McDonald House and many more. 

We value all of our employees who make our growth and success possible.  We are proud to offer industry leading compensation, comprehensive benefits, 401(k) match with additional profit sharing, PTO and abundant career opportunities. 

Come join our award winning over 12,000 strong organization as we fuel the world and each other!

Summary:

The primary responsibility for the Equipment Technician position is collecting, analyzing, and reporting the health of rotating equipment based on multiple technologies including vibration, thermography, oil analysis, pump and motor performance, compressor and engine performance and key operating parameters. This position works closely with operations, engineers, specialists, and maintenance personnel in troubleshooting and repairs. This position will provide support for multiple sites.

Essential duties and responsibilities: 
To perform this job successfully, an individual must be able to perform each essential job duties satisfactorily. The requirements for this position are listed below:

  • Develop and maintain vibration analysis program. Establish equipment routes and frequency. Collect and enter equipment data necessary for proper vibration analysis.
  • Proficient with rotating and/or reciprocating equipment analysis techniques and perform as required
  • Proficient with motor and/or engine analysis techniques and perform as required
  • Develop and maintain lube oil analysis program establishing routes and frequency
  • Periodic (monthly, quarterly, etc.) data acquisition from equipment, including vibration data with portable systems, critical machinery performance metrics (flow rates, equipment rotating speed, temperatures, and process flow characteristics) and lube oil samples and analysis
  • Perform analysis of data to resolve or proactively anticipate equipment failures
  • Lead and/or assist in root cause failure analysis utilizing the TapRoot process
  • Implements continuous monitoring systems, such as alarm, report, and acceptance regions
  • Coordinate scheduling of repairs by taking ownership of notifications and corresponding follow-up
  • Monitor equipment repairs in the field and at vendor shops
  • Report equipment deficiencies in SAP system making recommendations for corrective action
  • Collaborate with responsible Maintenance/Reliability Specialist, engineers, planners, Operations Managers and supervisors to ensure proper priorities are placed on deficiencies and continuous learning/improvement process is fostered
  • Support the lubrication program by monitoring its effectiveness or, when required, take samples, interpret analysis and take corrective actions

Required education:

  • High School Diploma or GED
  • Required experience is commensurate with the selected job level:
  • Level C requires a minimum of 0-2 years of relevant experience in an oil and gas operations role or equivalent work experience
  • Level B requires a minimum of 2-4 years of relevant experience in an oil and gas operations role or equivalent work experience
  • Level A requires a minimum of 4+ years of relevant experience in an oil and gas operations role or equivalent work experience

Preferred Qualifications:

Solid troubleshooting skills and ability to interpret and analyze data
Strong computer skills with experience in Microsoft Office suite.
 

Working Conditions:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.

  • Frequent exposure to heat, cold, and other adverse weather conditions
  • Work in and around industrial and construction settings, which may include hazardous products, processes, materials and chemicals, as well as extreme temperature conditions and loud machinery, and require appropriate personal protective equipment
  • Frequent heavy lifting with and without assistance
  • Work on and around equipment and facilities that require knowledge of and adherence to safe work procedures and practices  
  • Subject to call-outs to respond to operational issues and emergencies after working hours, at night, and on weekends and holidays
  • Reliable attendance at work
  • Occasional overnight travel may be required

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