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Fall Machine Learning Co Op Jobs in Albuquerque, NM

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Fall Machine Learning Co Op information

See Albuquerque, NM salary details

$24.7K

$41.3K

$85.3K

How much do fall machine learning co op jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fall machine learning co op in Albuquerque, NM is $41,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a Fall Machine Learning Co Op?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Albuquerque, NM?

For Fall Machine Learning Co Op jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Fall Machine Learning Co Op jobs in Albuquerque, NM look for?

The top searched job categories for Fall Machine Learning Co Op jobs in Albuquerque, NM are:

Fall Machine Learning Co Op jobs near you

Head of Quantum Applications - New Mexico

QuEra Computing, Inc.

Albuquerque, NM • On-site

Full-time

Posted 15 days ago

Job description

Summary
QuEra Computing is seeking an accomplished quantum scientist and research leader to serve as Head of Quantum Applications at our newly established New Mexico office. In this role, you will build and lead a local research group, define and execute a high-impact quantum applications research agenda, and serve as QuEra's scientific quantum computing theory anchor in the region. Working across quantum algorithms, quantum simulation, and neutral-atom hardware, you will drive the development of practically useful quantum applications, supporting QuEra's path towards fault-tolerant quantum computation, and translate cutting-edge research into outcomes that matter for science, industry, and government. A central part of this role is cultivating deep partnerships with research groups in government labs and beyond, building on the exceptional concentration of quantum expertise in New Mexico.
Responsibilities
Build and lead the New Mexico quantum applications research group
  • Hire, mentor, and build a team of quantum scientists in the New Mexico area.
  • Set the research agenda for the site and ensure alignment with QuEra's broader applications roadmap.
  • Serve as the primary scientific applications and algorithms leadership presence for QuEra in the region.

Drive a high-impact quantum applications research program
  • Develop and execute a research program spanning quantum simulation of strongly correlated systems, quantum machine learning, and cryptanalysis, targeting the path towards fault-tolerant quantum computation.
  • Translate scientific research into concrete demonstrations on QuEra's neutral-atom hardware, working closely with hardware teams.
  • Collaborate with QuEra's central applications team to identify and develop practically useful quantum applications grounded in real customer and government use cases.
  • Publish high-quality research works and contribute to the scientific community through conference presentations, workshops, and open-source tooling.

Build and leverage the New Mexico national laboratory ecosystem
  • Deepen strategic research collaborations with LANL and SNL, leveraging proximity and existing community ties.
  • Represent QuEra in regional scientific forums, workshops, and joint programs with national labs and New Mexico universities.
  • Help position QuEra as the preferred quantum computing partner for national security and DOE mission-driven science in the region.

Lead government program engagement and funding acquisition
  • Serve as PI or co-PI on federally funded research programs (DOE, DARPA, IARPA, NSF, or equivalent).
  • Develop compelling technical proposals that communicate QuEra's quantum computing capabilities to federal program managers.
  • Contribute to QuEra's strategic positioning in government programs

Advance benchmarking and performance analysis
  • Contribute to rigorous application-level benchmarking of QuEra's systems, bridging the gap between hardware performance and algorithmically meaningful metrics.
  • Engage with quantum error correction (QEC) researchers to understand how near-term and fault-tolerant QEC protocols impact application performance on neutral-atom hardware.

Qualifications
  • PhD in Physics, Quantum Information Science, or a closely related field.
  • 10+ years of experience in quantum computing and/or computational quantum physics, spanning both research and applied contexts.
  • Demonstrated track record as a research group leader. Experience managing and mentoring teams of scientists.
  • Established record as a PI or co-PI on competitively funded federal research programs (DOE, DARPA, IARPA, NSF, or equivalent).
  • Deep expertise in quantum algorithms and applications, with particular strength in at least one of: quantum simulation of many-body systems, quantum machine learning, or fault-tolerant quantum computation.
  • Experience mapping quantum algorithms to hardware constraints and working closely with experimental teams.
  • Strong publication record and recognition in the quantum computing community.
  • Excellent communication skills; comfortable engaging with technical audiences, program managers, and executive leadership.

Preferred Qualifications
  • Existing relationships with LANL, SNL, or other New Mexico research institutions.
  • Experience with neutral-atom, trapped-ion, or other programmable quantum computing platforms.
  • Background in quantum error correction. Understanding how QEC protocols and architecture choices interact with application-level performance.
  • Experience with application-level benchmarking and performance modeling, including mapping hardware error models to end-to-end algorithmic performance.
  • Contributions to quantum software ecosystems, open-source tooling, or developer-facing educational content.
  • Track record of large-scale collaborative research across institutional boundaries.

We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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